A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
| Author | Session | Start page | Title |
|---|---|---|---|
| A A B C D E F G H I J K L M N O P Q R S T U V W X Y Z | |||
| Abate, Andrea | PS2.15 | Integrating Gaze Tracking With Augmented Reality on Mobile Devices: A Framework for Enhanced User Interaction | |
| Abate, Filomena | S5.3.1 | Using Wearable Sensors and Motion Parameters for Recognizing Progressive Supranuclerar Palsy Phenotypes | |
| Abbonizio, Sara | PS3.11 | Machine Learning-Based Classification of the Traffic of Digital Marketing Campaigns | |
| Abdullayev, Javidan | PS1.9 | Data Engineering Techniques for Efficient and Accurate Human Physical Activities Data Collection: A Summary of the State-Of-The-Art | |
| Abdulmawjood, Kais | S4.2.4 | Static Eccentricity Fault Analysis in Three-Phase Induction Motors Using Current Signal | |
| Abe, Takashi | S3.1.1 | Emotions of Dreams Identified Without Awakenings by Machine and Deep Learning From EEG Signals in REM Sleep | |
| Abuelrub, Abdelaziz | S4.2.4 | Static Eccentricity Fault Analysis in Three-Phase Induction Motors Using Current Signal | |
| Adamo, Francesco | PS3.9 | U-Net Convolutional Neural Network for Optic Disc Segmentation | |
| Affuso, Paolo | PS3.10 | The SNOWED Dataset and Its Application to Po River Monitoring Through Satellite Images | |
| Agostoni, Piergiuseppe | S1.3.5 | Design and Evaluation of a Wearable Single-Lead ECG for Continuous Monitoring | |
| Al-Shemmery, Ahmed | S4.2.4 | Static Eccentricity Fault Analysis in Three-Phase Induction Motors Using Current Signal | |
| Alaerts, Kaat | S4.4.1 | Cross-Subject Mindfulness Meditation EEG Decoding | |
| Alblalaihid, Khalid | PS1.13 | The Role of System Modeling on Artificial Intelligence: A Review of Emerging Trends | |
| Alcalde-Llergo, José | PS1.6 | Jewelry Recognition via Encoder-Decoder Models | |
| S2.1.2 | A VR Serious Game to Increase Empathy Towards Students With Phonological Dyslexia | ||
| Alcañiz, Mariano | PS2.18 | Virtual Experience Toolkit: Enhancing 3D Scene Virtualization From Real Environments Through Computer Vision and Deep Learning Techniques | |
| S4.3.1 | The EXPERIENCE Project: Unveiling 'Extended-Personal Reality' Through Automated VR Environments and Explainable Artificial Intelligence | ||
| S4.3.2 | Exploring the Potential of Eye-Tracking Technology for Emotion Recognition: A Preliminary Investigation | ||
| Aldoihi, Saad | PS1.13 | The Role of System Modeling on Artificial Intelligence: A Review of Emerging Trends | |
| Alexiou, Evangelos | PS2.21 | The Value of Immersive Communication Systems in Online Meetings: A Problem Statement and Literature Review | |
| Alfeo, Antonio Luca | S4.3.1 | The EXPERIENCE Project: Unveiling 'Extended-Personal Reality' Through Automated VR Environments and Explainable Artificial Intelligence | |
| Ali, Mir Farooq | PS2.16 | An Assistive Robot in an Indoor Scenario: The Stretch Hello Robot as Environment Organizer | |
| Aliverti, Andrea | S1.3.4 | Data Quality Assessment for the Validation of Synchronization Performance in an Innovative Wireless Multi-Node Monitoring Platform | |
| S1.3.3 | Development and Validation of a Wearable System for Multi-Parametric Stress Level Assessment | ||
| S1.3.5 | Design and Evaluation of a Wearable Single-Lead ECG for Continuous Monitoring | ||
| S4.2.1 | Properties and Perspectives of Digital Holographic Microscopy for Bioaerosol Detection | ||
| Almoajel, Alia | PS1.13 | The Role of System Modeling on Artificial Intelligence: A Review of Emerging Trends | |
| Aloisio, Davide | S5.1.4 | A Novel Machine Learning Algorithm for State of Health Prediction of Lithium-Ion Batteries | |
| Altieri, Damiano | S6.1.2 | The Wild Boar as an Ecosystem Service: Moving Steps Towards Biodiversity Engineering | |
| Alves, Camille | S4.1.2 | Objective Assessment of Tremor in Parkinson's Disease Using the RehaBEElitation Serious Game | |
| Alzemaia, Fozah | PS1.13 | The Role of System Modeling on Artificial Intelligence: A Review of Emerging Trends | |
| Amato, Francesco | S3.2.3 | Optimization of 3D Fused Deposition Modeling Printing Process for the Manufacturing of Devices for Medical Use | |
| S3.2.4 | 3D Dental Reconstruction With Photogrammetry Technology | ||
| Amato, Francesco | S5.3.4 | A Cluster Analysis for Parkinson's Disease Phenotyping With Gait Parameters | |
| Amato, Francesco | S5.3.1 | Using Wearable Sensors and Motion Parameters for Recognizing Progressive Supranuclerar Palsy Phenotypes | |
| Amboni, Marianna | S5.3.4 | A Cluster Analysis for Parkinson's Disease Phenotyping With Gait Parameters | |
| Ambrose, Prem | PS_IND.7 | TinyRCE: Forward Learning Under Tiny Constraints | |
| Ambrosini, Emilia | S5.2.3 | Feasibility of a Portable, Wearable, High-Density Surface EMG Device for Detecting Functional Hand-Object Interactions | |
| Ambrosini, Emilia | S5.2.4 | An EMG-Triggered Cooperative Controller for a Hybrid FES-Robotic System | |
| Ameli, Sara | S7.1.4 | Analog Feedback-Controlled Memristor Programming Circuit for Analog Content Addressable Memory | |
| Amici, Stefania | S6.1.5 | Comparison of 1D and 3D Convolutional Neural Networks for Wildfire Detection Using PRISMA Hyperspectral Imagery and Domain Adaptation | |
| Amigoni, Francesco | PS_IND.1 | Improving Remaining Useful Life Estimation of Lithium-Ion Batteries When Nearing End of Life | |
| Amrani, Hamza | PS1.15 | Emotion Personalization With Machine Learning Using EEG Signals and Dry Electrodes | |
| Andrade, Adriano | S4.1.2 | Objective Assessment of Tremor in Parkinson's Disease Using the RehaBEElitation Serious Game | |
| Andreini, Paolo | S2.2.1 | Deep Learning Techniques for Text Generation to Support Augmentative and Alternative Communication | |
| S2.2.2 | Enhancing Fluorescence Image Analysis Through Deep Learning | ||
| Andreozzi, Emilio | S3.2.4 | 3D Dental Reconstruction With Photogrammetry Technology | |
| Ang, Kai Keng | S7.4.1 | Improving Common Spatial Patterns in Brain-Computer Interface Using Dynamic Time Warping and EEG Normalization | |
| Angelone, Francesca | S3.2.4 | 3D Dental Reconstruction With Photogrammetry Technology | |
| Angelucci, Alessandra | S1.3.5 | Design and Evaluation of a Wearable Single-Lead ECG for Continuous Monitoring | |
| Angrisani, Leopoldo | S1.3.1 | Expanding the Frontiers of Wearable Brain-Computer Interfaces Combining Augmented Reality and Visually Evoked Potentials | |
| PS2.8 | Brain-Computer Interface to Drive Industrial Robots: An Experimental Study in Hybrid Human-Robot Manufacturing | ||
| S4.3.2 | Exploring the Potential of Eye-Tracking Technology for Emotion Recognition: A Preliminary Investigation | ||
| S6.1.4 | Exploring the Relationship Between Performance and Environmental Sustainability in Measurement Systems: A Preliminary Study | ||
| Annuzzi, Giovanni | S2.4.3 | Assessing the Features on Blood Glucose Level Prediction in Type 1 Diabetes Patients Through Explainable Artificial Intelligence | |
| Anzivino, Alessia | S8.1.2 | Digital Healthcare Service Ecosystem: Established Approaches and New Perspectives | |
| Aparicio-Martínez, Pilar | PS1.5 | Training Program on Sign Language: Social Inclusion Through Virtual Reality in ISENSE Project | |
| S2.1.2 | A VR Serious Game to Increase Empathy Towards Students With Phonological Dyslexia | ||
| Apicella, Andrea | PS2.11 | Toward the Improvement of Probabilistic Classifiers Using Ontologies | |
| Aquilino, Letizia | S8.2.2 | An Anthropomorphic Robot With ChatGPT for Learning Activities: The Teachers' Perspective | |
| Arceri, Nicolò Fabio | S3.4 - Part I.5 | An Innovative Tool for Uploading/Scraping Large Image Datasets on Social Networks | |
| Argiuolo, Antonietta | S7.2.5 | Putting the Pieces Together: Exploring the Dimensionality of Enhanced Baking Tray Task Indexes in School-Aged Children | |
| Arlati, Sara | PS1.3 | A Scalable VR-Based System to Assess Driving-Related Abilities in People With Disability | |
| Arman, Ala | PS_IND.19 | The MICS Project: A Data Science Pipeline for Industry 4.0 Applications | |
| Armani, Federica | S3.1.5 | Maths Anxiety and Cognitive States Monitoring for Neuroadaptive Learning Systems Using Electroencephalography | |
| Arpaia, Pasquale | S1.3.1 | Expanding the Frontiers of Wearable Brain-Computer Interfaces Combining Augmented Reality and Visually Evoked Potentials | |
| S2.4.3 | Assessing the Features on Blood Glucose Level Prediction in Type 1 Diabetes Patients Through Explainable Artificial Intelligence | ||
| S3.1.3 | Toward an EEG-Based System for Monitoring Cognitive Load in Neurosurgeons | ||
| PS2.1 | EEG and HRV-Based Assessment of Neurosurgeons Training for Anxiety Regulation and Stress Monitoring | ||
| PS2.2 | Synchronisation Issues in Wireless EEG Systems for P300 Amplitude Measurement: Ab Medica Helmate Case Study | ||
| S4.3.2 | Exploring the Potential of Eye-Tracking Technology for Emotion Recognition: A Preliminary Investigation | ||
| PS3.3 | Sinc-EEGNet for Improving Performance While Reducing Calibration of a Motor Imagery-Based BCI | ||
| Arvaneh, Mahnaz | PS2.19 | Analysing and Modelling Human Trust to a Navigation Robot | |
| S7.4.1 | Improving Common Spatial Patterns in Brain-Computer Interface Using Dynamic Time Warping and EEG Normalization | ||
| Asadi, Ali | S8.2.1 | The Effect of Performance Features of Telepresence Robots on Personality Perception of Their Users | |
| S8.2.5 | Mitigating the Negative Effect of Telepresence Robots via an Empathy-Eliciting Robot Moderator | ||
| Ascoli, Alon | S7.1.2 | Local Fading Memory Effects in a Tantalum Oxide ReRAM Cell From Hewlett Packard Labs | |
| PS3.8 | Analytical Derivation of Sharp-Edge-Of-Chaos Domain in a One-Dimensional Memristor Array | ||
| Augello, Agnese | S1.2.5 | Digital Practices: Introducing Social Dimension in Digital Twins | |
| Aulino, Livia | S3.4 - Part II.4 | The Possible Relationships Between Law and Ethics Applied to AI | |
| Avallone, Anna Rosa | S5.3.1 | Using Wearable Sensors and Motion Parameters for Recognizing Progressive Supranuclerar Palsy Phenotypes | |
| Aversano, Lerina | PS2.4 | Raman Spectroscopy of Cells for Cancer Classification Through Machine Learning | |
| Ayadi, Roberta | S3.1.3 | Toward an EEG-Based System for Monitoring Cognitive Load in Neurosurgeons | |
| Aymone, Fabrizio | PS_IND.7 | TinyRCE: Forward Learning Under Tiny Constraints | |
| Azhar, Mahrukh | PS2.22 | Parsimonious Technologies for Sensing Upper Limb Muscles Activation | |
| Azzalini, Davide | PS_IND.1 | Improving Remaining Useful Life Estimation of Lithium-Ion Batteries When Nearing End of Life | |
| B A B C D E F G H I J K L M N O P Q R S T U V W X Y Z | |||
| Babu Jallu, Sriram | PS2.14 | Exploring Canopy Temperature and Height Dynamics in Forest Ecosystems | |
| Bacchini, Dario | S6.2.1 | The Implementation of a Mobile Game for Social Inclusion in Multicultural School Contexts | |
| Baciu, Ioan-Liviu | S8.3.4 | A Modern Approach to Dimensional Inspection by Implementing Annotated 3D Cad Model in a Digital Manufacturing Environment | |
| Baglio, Francesca | S1.3.2 | A Novel Ecological EEG Protocol to Assess Cognitive Load During Balance Task in Rehabilitation Settings | |
| Bala, Anju | PS_IND.6 | State of Health Estimation for Li-Ion Battery Using Machine Learning | |
| Bandini, Andrea | S5.2.3 | Feasibility of a Portable, Wearable, High-Density Surface EMG Device for Detecting Functional Hand-Object Interactions | |
| PS3.4 | Feasibility and Accuracy of a Dry and Wireless EEG Helmet for Upper Limb Motor Imagery-Based Brain-Computer Interfaces | ||
| Bao, Xiue | PS_IND.14 | Artificial Neural Network Modeling of Microwave Sensors for Dielectric Liquids Characterization | |
| PS_IND.15 | Defect Modeling During the SLM Process for Manufacturing Microwave Devices | ||
| Barbieri, Riccardo | S2.1.3 | Exploring Emotional Responses in Virtual Reality Through Skin Conductance Signal | |
| Barcellona, Simone | PS_IND.5 | Cycle Aging Effect on Lithium-Ion Battery Resistance: A Machine Learning Approach | |
| Barletta, Vita Santa | S6.3.1 | Securing Web Technology and Navigation Against Phishing Through CNN | |
| S6.3.3 | Artificial Intelligence for Automotive Security: How to Support Developers in Automotive Solutions | ||
| S6.3.4 | Automotive Knowledge Base for Supporting Vehicle-SOC Analysts | ||
| PS3.2 | Serious Games for Cybersecurity: How to Improve Perception and Human Factors | ||
| Barone, Paolo | S5.3.4 | A Cluster Analysis for Parkinson's Disease Phenotyping With Gait Parameters | |
| Barzon, Paolo | PS2.21 | The Value of Immersive Communication Systems in Online Meetings: A Problem Statement and Literature Review | |
| Battaglia, Filippo | PS_IND.14 | Artificial Neural Network Modeling of Microwave Sensors for Dielectric Liquids Characterization | |
| S5.1.4 | A Novel Machine Learning Algorithm for State of Health Prediction of Lithium-Ion Batteries | ||
| Battiato, Sebastiano | S3.4 - Part I.5 | An Innovative Tool for Uploading/Scraping Large Image Datasets on Social Networks | |
| S3.4 - Part I.3 | Deep Audio Analyzer: A Framework to Industrialize the Research on Audio Forensics | ||
| Bayle, Bernard | PS2.22 | Parsimonious Technologies for Sensing Upper Limb Muscles Activation | |
| Becchi, Lorenzo | S2.2.4 | Prognostic Analysis of Switching Devices in DC-DC Converters | |
| Bednarczyk, Maciej | PS2.22 | Parsimonious Technologies for Sensing Upper Limb Muscles Activation | |
| Benedini, Marco | S5.2.1 | High-Density Surface Electromyography Allows for Longitudinal Assessment of the Neural Drive to Muscle in Individuals With Acute Stroke | |
| Benis, Arriel | S6.1.3 | Enhancing Urban Environmental Sustainability Through Unified Stakeholders Needs Co-Creation Process (ΑΕΝΕΑ) | |
| Benvenuti, Martina | S7.2.4 | WAITASEC: The Development of an Application for People' Digital Wellness | |
| Bernardi, Mario Luca | PS2.4 | Raman Spectroscopy of Cells for Cancer Classification Through Machine Learning | |
| Bersani, Anna | PS1.1 | Comparison of Data Compression Methods for Implanted Real-Time Peripheral Nervous System | |
| Bertone, Elisa | PS3.3 | Sinc-EEGNet for Improving Performance While Reducing Calibration of a Motor Imagery-Based BCI | |
| Bertoz, Alessandro | PS1.8 | Comparing Supervised Machine-Learning Algorithms to Measure the Number of Technical Actions in Industrial Environments | |
| Bi, Ting | S2.1.4 | Time-Delay Tolerance of Visual and Olfactory Feedback in Multi-Sensory Extended Reality | |
| Bianchi, Matteo | S4.3.1 | The EXPERIENCE Project: Unveiling 'Extended-Personal Reality' Through Automated VR Environments and Explainable Artificial Intelligence | |
| Bianchini, Monica | S2.2.1 | Deep Learning Techniques for Text Generation to Support Augmentative and Alternative Communication | |
| Bierig, Ralf | S2.1.4 | Time-Delay Tolerance of Visual and Olfactory Feedback in Multi-Sensory Extended Reality | |
| Bifulco, Francesco | S8.1.3 | Museum Accessibility: A Managerial Perspective on Digital Approach | |
| Bindi, Marco | PS1.12 | Predictive Maintenance of Actuated Quarter-Turn Valves Using Artificial Intelligence | |
| S2.2.4 | Prognostic Analysis of Switching Devices in DC-DC Converters | ||
| Bisio, Alessia | PS1.5 | Training Program on Sign Language: Social Inclusion Through Virtual Reality in ISENSE Project | |
| Bisio, Igor | S3.3.2 | A Multifrequency Inverse-Scattering Technique for Brain Stroke Microwave Diagnostics | |
| Bissolotti, Luciano | S5.2.1 | High-Density Surface Electromyography Allows for Longitudinal Assessment of the Neural Drive to Muscle in Individuals With Acute Stroke | |
| Bonechi, Simone | S2.2.2 | Enhancing Fluorescence Image Analysis Through Deep Learning | |
| Bongini, Pietro | S2.2.3 | Graph Neural Networks for Drug Discovery: An Integrated Decision Support Pipeline | |
| Bonilauri, Augusto | S1.3.2 | A Novel Ecological EEG Protocol to Assess Cognitive Load During Balance Task in Rehabilitation Settings | |
| Bordignon, Marco | PS1.8 | Comparing Supervised Machine-Learning Algorithms to Measure the Number of Technical Actions in Industrial Environments | |
| Borghi, Guido | S3.4 - Part I.1 | A Framework to Improve the Comparability and Reproducibility of Morphing Attack Detectors | |
| Boscolo Galazzo, Ilaria | S2.4.1 | Objective Assessment of the Bias Introduced by Baseline Signals in XAI Attribution Methods | |
| Bosi, Gianni | PS_IND.16 | GaN HEMT Modeling Using an Optimization Strategy Based on Gated Recurrent Unit Networks | |
| Bouallegue, Seifeddine | S3.4 - Part II.3 | A Survey on the Applications, Limitations, and Ethical Considerations of ChatGPT in Various Industries | |
| Bousoulas, Panagiotis | S8.3.5 | Recognition of Greek Alphabet Characters With Memristive Neuromorphic Circuit | |
| Bouteldja, Dina | S3.4 - Part II.3 | A Survey on the Applications, Limitations, and Ethical Considerations of ChatGPT in Various Industries | |
| Bozzetto, Lutgarda | S2.4.3 | Assessing the Features on Blood Glucose Level Prediction in Type 1 Diabetes Patients Through Explainable Artificial Intelligence | |
| Braghin, Francesco | PS2.6 | Bayesian Optimization With Multi Constraints for Planar Rotary Spring Design | |
| Brambilla, Cristina | S5.2.2 | Upper Limb Phasic Muscle Synergies With Negative Weightings: Applications for Rehabilitation | |
| Brunaccini, Giovanni | S5.1.4 | A Novel Machine Learning Algorithm for State of Health Prediction of Lithium-Ion Batteries | |
| Bruzzo, Claudio | S8.3.4 | A Modern Approach to Dimensional Inspection by Implementing Annotated 3D Cad Model in a Digital Manufacturing Environment | |
| Bryzgalov, Dmitrii | S4.4.3 | Low-Contrast SSVEP Stimuli to Improve User Experience of Brain-Computer Interface Involving Virtual Reality | |
| Bucci, Giovanni | PS3.14 | Machine Learning for Anomaly Detection in Induction Motors | |
| Buettner, Florian | S3.2.2 | Deep Learning Model for Video-Classification of Echocardiography Images | |
| Buonanno, Giovanni | S3.3.5 | Microwave Imaging for Brain Cancer Detection: Enhanced Accuracy With Machine Learning Approach | |
| S3.3.4 | Segmentation Approach for Enhanced Biomedical Microwave Imaging | ||
| C A B C D E F G H I J K L M N O P Q R S T U V W X Y Z | |||
| Cabral, Ariana | S4.1.2 | Objective Assessment of Tremor in Parkinson's Disease Using the RehaBEElitation Serious Game | |
| Cabral, Hélio | S5.2.1 | High-Density Surface Electromyography Allows for Longitudinal Assessment of the Neural Drive to Muscle in Individuals With Acute Stroke | |
| Cabrita, Miriam | S6.1.3 | Enhancing Urban Environmental Sustainability Through Unified Stakeholders Needs Co-Creation Process (ΑΕΝΕΑ) | |
| Caggianese, Giuseppe | S1.2.5 | Digital Practices: Introducing Social Dimension in Digital Twins | |
| Caggiano, Ilaria Amelia | S3.4 - Part II.4 | The Possible Relationships Between Law and Ethics Applied to AI | |
| Cai, Jialin | PS_IND.16 | GaN HEMT Modeling Using an Optimization Strategy Based on Gated Recurrent Unit Networks | |
| Caivano, Danilo | S6.3.4 | Automotive Knowledge Base for Supporting Vehicle-SOC Analysts | |
| Calabrò, Giuseppe | S2.1.5 | Prediction of Football Players' Performance Indicators via Random Forest Algorithm | |
| S3.4 - Part II.5 | Legal and Technical Answers to Privacy Issues Raised by AI-Based Facial Recognition Algorithms | ||
| Calanca, Andrea | S5.2.5 | Towards Personalized Myoelectric Control Strategies | |
| Calderone, Danilo | S3.2.3 | Optimization of 3D Fused Deposition Modeling Printing Process for the Manufacturing of Devices for Medical Use | |
| S3.2.4 | 3D Dental Reconstruction With Photogrammetry Technology | ||
| Calhoun, Vince | S2.4.1 | Objective Assessment of the Bias Introduced by Baseline Signals in XAI Attribution Methods | |
| Calvano, Miriana | PS3.2 | Serious Games for Cybersecurity: How to Improve Perception and Human Factors | |
| Campobello, Giuseppe | PS_IND.14 | Artificial Neural Network Modeling of Microwave Sensors for Dielectric Liquids Characterization | |
| S5.1.4 | A Novel Machine Learning Algorithm for State of Health Prediction of Lithium-Ion Batteries | ||
| Cangelosi, Angelo | S8.2.2 | An Anthropomorphic Robot With ChatGPT for Learning Activities: The Teachers' Perspective | |
| Cannelli, Loris | PS_IND.5 | Cycle Aging Effect on Lithium-Ion Battery Resistance: A Machine Learning Approach | |
| Cannito, Loreta | S6.2.4 | Affective Evaluations of Rooms in Immersive Virtual Reality: The Effect of Naturalistic Elements | |
| Cantù, Roberto | PS_IND.17 | Prototype of an Industrial Measurement System for Thermal Conductivity of Scuba Diving Wet Suits | |
| Cantucci, Filippo | S8.2.3 | Skeleton Timed Up and Go on MARIO Robot | |
| Capasso, Claudia | S3.4 - Part II.5 | Legal and Technical Answers to Privacy Issues Raised by AI-Based Facial Recognition Algorithms | |
| Capece, Nicola Felice | S1.2.4 | An Educational Approach for Mixed Reality Visualization of Agro-Meteorological Parameters | |
| Capitelli, Fabiola | S6.2.4 | Affective Evaluations of Rooms in Immersive Virtual Reality: The Effect of Naturalistic Elements | |
| Caponetto, Riccardo | PS2.5 | Blood Glucose Regulation in Type 1 Diabetes Through Optimized Nonlinear Control Strategies | |
| Cappelli, Irene | PS_IND.10 | Machine Learning Regressor for Impedance Parameter Estimation of QCM Sensors for Liquid Media Characterization | |
| Carbone, Andrea | S6.1.5 | Comparison of 1D and 3D Convolutional Neural Networks for Wildfire Detection Using PRISMA Hyperspectral Imagery and Domain Adaptation | |
| Cardinali, Leonardo | S3.3.3 | A Machine Learning Approach to Microwave Sensing for Non-Invasive Alzheimer's Disease Detection | |
| Cardoso Mendes, Luanne | S4.1.2 | Objective Assessment of Tremor in Parkinson's Disease Using the RehaBEElitation Serious Game | |
| Carignani, Francesco | S8.1.3 | Museum Accessibility: A Managerial Perspective on Digital Approach | |
| Carli, Vladimir | S4.3.1 | The EXPERIENCE Project: Unveiling 'Extended-Personal Reality' Through Automated VR Environments and Explainable Artificial Intelligence | |
| Carminati, Marco | PS2.9 | Neural Networks Embedded in Wearable Devices: A Preliminary Digital vs. Analog Comparison | |
| Carmona-Galan, Ricardo | PS2.10 | An Analog-To-Information Architecture for Single-Chip Sensor-Processor Inference System | |
| Carone, Giovanni | S3.1.3 | Toward an EEG-Based System for Monitoring Cognitive Load in Neurosurgeons | |
| PS2.1 | EEG and HRV-Based Assessment of Neurosurgeons Training for Anxiety Regulation and Stress Monitoring | ||
| Carratù, Marco | PS3.13 | A Survey on Uncertainty Assessment in ANN-Based Measurements | |
| Caruso, Federica | PS3.2 | Serious Games for Cybersecurity: How to Improve Perception and Human Factors | |
| Casaburi, Antonio | S3.2.3 | Optimization of 3D Fused Deposition Modeling Printing Process for the Manufacturing of Devices for Medical Use | |
| Cascone, Lucia | PS2.15 | Integrating Gaze Tracking With Augmented Reality on Mobile Devices: A Framework for Enhanced User Interaction | |
| Casella, Monica | S7.2.3 | Autoencoders as a Tool to Detect Nonlinear Relationships in Latent Variables Models | |
| S7.2.5 | Putting the Pieces Together: Exploring the Dimensionality of Enhanced Baking Tray Task Indexes in School-Aged Children | ||
| Castelli, Nicolò | S3.1.3 | Toward an EEG-Based System for Monitoring Cognitive Load in Neurosurgeons | |
| PS2.1 | EEG and HRV-Based Assessment of Neurosurgeons Training for Anxiety Regulation and Stress Monitoring | ||
| Castelli Dezza, Francesco | PS_IND.20 | Control and Thermal Design of a Bi-Directional Grid Interface Converter for Fast-Recharging Stations Developed in the Framework of the Italian PNRR Research Activities | |
| Castro, Elisa | PS_IND.12 | Calibration of a Clustering Algorithm to Improve the Nearshore Wave Prediction System | |
| Catalano, Christian | S6.3.1 | Securing Web Technology and Navigation Against Phishing Through CNN | |
| S6.3.3 | Artificial Intelligence for Automotive Security: How to Support Developers in Automotive Solutions | ||
| Cataldo, Andrea | PS2.12 | Entropy-Based EEG Measures for Revealing Altered Neural Dynamics in Alzheimer's Disease: A Preliminary Study | |
| Catelani, Marcantonio | S5.1.3 | A Multi-Channel Deep-Learning Prediction Algorithm for Battery State-Of-Health Indicator | |
| Catrambone, Vincenzo | S4.3.1 | The EXPERIENCE Project: Unveiling 'Extended-Personal Reality' Through Automated VR Environments and Explainable Artificial Intelligence | |
| Cattaneo, Davide | S1.3.2 | A Novel Ecological EEG Protocol to Assess Cognitive Load During Balance Task in Rehabilitation Settings | |
| Cavallaro, Luca | PS_IND.12 | Calibration of a Clustering Algorithm to Improve the Nearshore Wave Prediction System | |
| Cavedo, Federico | S4.2.3 | TinyML Anomaly Detection in Portable Cutting Tools | |
| Cavicchioli, Matteo | PS1.14 | Automatic Liver Vessels Segmentation Using ResDense UNet and an Appropriate Preprocessing Pipeline | |
| Cebrián, Pedro | S2.4.2 | Sparse to Dense Ground Truth Pre-Processing in Hyperspectral Imaging for In-Vivo Brain Tumour Detection | |
| Cella, Christian | PS_IND.21 | Digital Technologies for the Design of Human-Robot Collaborative Cells | |
| Ceradini, Matteo | S7.4.2 | EEG-Based Self-Paced Decoding of Upper Limb Movement Intention in Healthy Subjects | |
| PS3.4 | Feasibility and Accuracy of a Dry and Wireless EEG Helmet for Upper Limb Motor Imagery-Based Brain-Computer Interfaces | ||
| Ceriola, Luca | PS1.10 | Comparison of Two Video-Based Methods for Knee Joint Angle Measurement: A Preliminary Study | |
| Cerveri, Pietro | S1.1.5 | Deep Learning Coronary Artery Centerlines Mapping From Contrast-Enhanced CT Images of the Heart | |
| PS1.14 | Automatic Liver Vessels Segmentation Using ResDense UNet and an Appropriate Preprocessing Pipeline | ||
| S2.4.4 | Merging Contour-And Region-Aware Branches in the UNet Decoder to Enhance Osseous Segmentation in Shoulder CT Scans | ||
| Cesarelli, Giuseppe | S3.2.3 | Optimization of 3D Fused Deposition Modeling Printing Process for the Manufacturing of Devices for Medical Use | |
| S3.2.4 | 3D Dental Reconstruction With Photogrammetry Technology | ||
| Cesarelli, Mario | S3.2.5 | Explainable Deep Learning for Brain Cancer Detection and Localisation | |
| Cesarelli, Mario | S3.2.3 | Optimization of 3D Fused Deposition Modeling Printing Process for the Manufacturing of Devices for Medical Use | |
| PS2.7 | A Machine Learning Approach to Classify Ventilatory Efficiency | ||
| S5.3.2 | Feasibility of Tree-Based Machine Learning Models to Discriminate Safe and Unsafe Posture During Weight Lifting | ||
| S5.3.1 | Using Wearable Sensors and Motion Parameters for Recognizing Progressive Supranuclerar Palsy Phenotypes | ||
| Cestaro, Francesca | S1.3.3 | Development and Validation of a Wearable System for Multi-Parametric Stress Level Assessment | |
| Chakrabarty, Tushar | S7.1.5 | Mackey-Glass Time Series Forecasting by Nanowire Networks | |
| Charles, Darryl | S7.4.3 | Decoding Motion Trajectories in an Online Upper Limb BCI: Linear Regression Vs Deep Learning | |
| Chatzinikolaou, Theodoros Panagiotis | S8.3.5 | Recognition of Greek Alphabet Characters With Memristive Neuromorphic Circuit | |
| Chatzipaschalis, Ioannis | S8.3.5 | Recognition of Greek Alphabet Characters With Memristive Neuromorphic Circuit | |
| Chavarrias, Miguel | S2.4.2 | Sparse to Dense Ground Truth Pre-Processing in Hyperspectral Imaging for In-Vivo Brain Tumour Detection | |
| Chernutsky, Anton | PS_IND.26 | Uncertainty Evaluation in Knife-Edge Laser Spot-Size Measurements for Industrial Applications | |
| PS_IND.25 | Optical Fiber Sensor for Real-Time Monitoring of Industrial Structures and Application to Urban Telecommunication Networks | ||
| Chesnokov, German Yu. | PS_IND.25 | Optical Fiber Sensor for Real-Time Monitoring of Industrial Structures and Application to Urban Telecommunication Networks | |
| Chezzi, Andrea | S6.3.1 | Securing Web Technology and Navigation Against Phishing Through CNN | |
| Chiaravalloti, Antonio | S1.1.4 | A Digital Twin Approach for Stroke Risk Assessment in Atrial Fibrillation Patients | |
| Chiesa, Silvia | S8.3.3 | Training Intelligent Driver State Monitoring Systems: Design and Validation of an Experimental Procedure in a Driving Simulator Environment | |
| Chini, Giorgio | S2.2.2 | Enhancing Fluorescence Image Analysis Through Deep Learning | |
| Chinzer, Erica | S6.2.3 | "Escape With Pulcinella": Development of a Gamified Environment and Pilot Study on Escape Rooms for Language Learning and Cultural Knowledge Acquisition | |
| S8.2.5 | Mitigating the Negative Effect of Telepresence Robots via an Empathy-Eliciting Robot Moderator | ||
| Chiveri, Luca | S7.4.4 | Investigation of Neurophysiological Biomarkers Using Dry Electrodes EEG Device in Patients With Neurological Diseases Undergoing Motor Neurorehabilitation: Protocol Trial | |
| Chua, Leon | S7.1.2 | Local Fading Memory Effects in a Tantalum Oxide ReRAM Cell From Hewlett Packard Labs | |
| Ciancetta, Fabrizio | PS3.14 | Machine Learning for Anomaly Detection in Induction Motors | |
| Ciani, Lorenzo | S5.1.3 | A Multi-Channel Deep-Learning Prediction Algorithm for Battery State-Of-Health Indicator | |
| Ciliberti, Federica Kiyomi | PS2.3 | Development of Synthetic 3D Printed Knee Joint to Assess Mechanical and Functional Properties of Degenerative Cartilage | |
| Cimino, Mario | S4.3.1 | The EXPERIENCE Project: Unveiling 'Extended-Personal Reality' Through Automated VR Environments and Explainable Artificial Intelligence | |
| Cimitile, Marta | PS2.4 | Raman Spectroscopy of Cells for Cancer Classification Through Machine Learning | |
| Cimmino, Roberta | S6.1.1 | Sustainable Measures for Assessing the Impact of Climate Effects on Livestock Biological Variability | |
| Cioffi, Federico | S6.2.4 | Affective Evaluations of Rooms in Immersive Virtual Reality: The Effect of Naturalistic Elements | |
| Clemente, Fabrizio | S3.2.3 | Optimization of 3D Fused Deposition Modeling Printing Process for the Manufacturing of Devices for Medical Use | |
| Clemente, Laura | S8.1.3 | Museum Accessibility: A Managerial Perspective on Digital Approach | |
| Coato, Damiano | PS2.3 | Development of Synthetic 3D Printed Knee Joint to Assess Mechanical and Functional Properties of Degenerative Cartilage | |
| Cogliati, Marta | S5.2.1 | High-Density Surface Electromyography Allows for Longitudinal Assessment of the Neural Drive to Muscle in Individuals With Acute Stroke | |
| Colella, Alessandra | S6.2.1 | The Implementation of a Mobile Game for Social Inclusion in Multicultural School Contexts | |
| Colnago, Silvia | PS_IND.5 | Cycle Aging Effect on Lithium-Ion Battery Resistance: A Machine Learning Approach | |
| Colombo, Vera | PS1.3 | A Scalable VR-Based System to Assess Driving-Related Abilities in People With Disability | |
| Comi, Giancarlo | S7.4.4 | Investigation of Neurophysiological Biomarkers Using Dry Electrodes EEG Device in Patients With Neurological Diseases Undergoing Motor Neurorehabilitation: Protocol Trial | |
| Condino, Sara | S1.1.1 | Proof of Concept of Using HoloLens 2 for AR Immersive Training in Complex Medical Scenarios | |
| Conson, Manuel | S8.3.1 | Deploying Unsupervised Learning for Daily Activity Windows Analisys in Cancer Patients | |
| Contardo, Paolo | S3.4 - Part I.4 | Evaluating Deep Neural Networks for Face Recognition With Different Subsets of Mugshots From the Photo-Signaling Procedure | |
| Conte, Luca | PS2.8 | Brain-Computer Interface to Drive Industrial Robots: An Experimental Study in Hybrid Human-Robot Manufacturing | |
| Corallo, Angelo | S6.3.1 | Securing Web Technology and Navigation Against Phishing Through CNN | |
| Corazza, Anna | PS2.11 | Toward the Improvement of Probabilistic Classifiers Using Ontologies | |
| Corbo, Massimo | S7.4.4 | Investigation of Neurophysiological Biomarkers Using Dry Electrodes EEG Device in Patients With Neurological Diseases Undergoing Motor Neurorehabilitation: Protocol Trial | |
| Corrado, Mario | PS3.12 | VO.I.C.E. FIRST: Supporting Human Assistants With Real-Time Voice Understanding | |
| Corsi, Cristiana | S1.1.4 | A Digital Twin Approach for Stroke Risk Assessment in Atrial Fibrillation Patients | |
| S3.2.1 | Advanced 3D Printing of Patient-Specific Human Heart for Improved Surgical Planning | ||
| Costanzi, Davide | S5.2.5 | Towards Personalized Myoelectric Control Strategies | |
| Costanzo, Sandra | S3.3.4 | Segmentation Approach for Enhanced Biomedical Microwave Imaging | |
| S3.3.1 | Microwaves and Artificial Intelligence for Biomedical Applications | ||
| S3.3.5 | Microwave Imaging for Brain Cancer Detection: Enhanced Accuracy With Machine Learning Approach | ||
| Cotticelli, Alessio | S6.1.1 | Sustainable Measures for Assessing the Impact of Climate Effects on Livestock Biological Variability | |
| Cova, Paolo | PS_IND.2 | Electrical Vehicle Fleet Management for Industrial Environment With Battery SoH Prediction Through Neural Networks | |
| Coviello, Antonio | PS1.1 | Comparison of Data Compression Methods for Implanted Real-Time Peripheral Nervous System | |
| Coyle, Damien | S7.4.3 | Decoding Motion Trajectories in an Online Upper Limb BCI: Linear Regression Vs Deep Learning | |
| Crafa, Daniele | PS2.9 | Neural Networks Embedded in Wearable Devices: A Preliminary Digital vs. Analog Comparison | |
| Criscuolo, Sabatina | S2.4.3 | Assessing the Features on Blood Glucose Level Prediction in Type 1 Diabetes Patients Through Explainable Artificial Intelligence | |
| PS2.12 | Entropy-Based EEG Measures for Revealing Altered Neural Dynamics in Alzheimer's Disease: A Preliminary Study | ||
| Cristaldi, Loredana | PS_IND.19 | The MICS Project: A Data Science Pipeline for Industry 4.0 Applications | |
| PS_IND.13 | Experimental Design and Maintenance, Towards a Decision-Making Approach Driven by Degradation Models, With Application to Lithium-Ion Batteries | ||
| PS_IND.1 | Improving Remaining Useful Life Estimation of Lithium-Ion Batteries When Nearing End of Life | ||
| Critelli, Claudia | S3.2.2 | Deep Learning Model for Video-Classification of Echocardiography Images | |
| Crocco, Lorenzo | S3.3.3 | A Machine Learning Approach to Microwave Sensing for Non-Invasive Alzheimer's Disease Detection | |
| Crotti, Gianluca | PS_IND.17 | Prototype of an Industrial Measurement System for Thermal Conductivity of Scuba Diving Wet Suits | |
| Cruciani, Federica | S2.4.1 | Objective Assessment of the Bias Introduced by Baseline Signals in XAI Attribution Methods | |
| Crupi, Giovanni | PS_IND.16 | GaN HEMT Modeling Using an Optimization Strategy Based on Gated Recurrent Unit Networks | |
| PS_IND.14 | Artificial Neural Network Modeling of Microwave Sensors for Dielectric Liquids Characterization | ||
| PS_IND.15 | Defect Modeling During the SLM Process for Manufacturing Microwave Devices | ||
| Culligan, Natalie | S2.1.4 | Time-Delay Tolerance of Visual and Olfactory Feedback in Multi-Sensory Extended Reality | |
| Cuniberti, Gianaurelio | S7.1.6 | Rapid Detection of SARS-CoV-2 Antigen Utilizing Machine Learning-Enabled Graphene-Based Smart Gas Sensors | |
| Curci, Antonio | PS3.2 | Serious Games for Cybersecurity: How to Improve Perception and Human Factors | |
| Cusano, Andrea | PS2.4 | Raman Spectroscopy of Cells for Cancer Classification Through Machine Learning | |
| D A B C D E F G H I J K L M N O P Q R S T U V W X Y Z | |||
| D Ordia, Francesca | PS3.15 | STeMMA - Telerehabilitation System With Area Muscle Monitoring | |
| D'Alessandro, Vito Ivano | PS3.9 | U-Net Convolutional Neural Network for Optic Disc Segmentation | |
| D'antonio, Paola | S1.2.4 | An Educational Approach for Mixed Reality Visualization of Agro-Meteorological Parameters | |
| D'Arco, Mauro | S6.1.4 | Exploring the Relationship Between Performance and Environmental Sustainability in Measurement Systems: A Preliminary Study | |
| d'Avella, Andrea | S5.2.2 | Upper Limb Phasic Muscle Synergies With Negative Weightings: Applications for Rehabilitation | |
| D'Errico, Giovanni | PS2.1 | EEG and HRV-Based Assessment of Neurosurgeons Training for Anxiety Regulation and Stress Monitoring | |
| Daly, Ian | S3.1.5 | Maths Anxiety and Cognitive States Monitoring for Neuroadaptive Learning Systems Using Electroencephalography | |
| Dantas, Carina | S6.1.3 | Enhancing Urban Environmental Sustainability Through Unified Stakeholders Needs Co-Creation Process (ΑΕΝΕΑ) | |
| Davalli, Angelo | S1.1.2 | An Ontology-Based Mixed Reality Application to Support Car Reconfiguration for Drivers With Disabilities | |
| PS1.2 | Assessment and Ontological Modeling of Physical and Cognitive Impairments to Foster the Employment of People With Disabilities | ||
| PS1.3 | A Scalable VR-Based System to Assess Driving-Related Abilities in People With Disability | ||
| De Benedetto, Egidio | S1.3.1 | Expanding the Frontiers of Wearable Brain-Computer Interfaces Combining Augmented Reality and Visually Evoked Potentials | |
| PS2.12 | Entropy-Based EEG Measures for Revealing Altered Neural Dynamics in Alzheimer's Disease: A Preliminary Study | ||
| S4.3.2 | Exploring the Potential of Eye-Tracking Technology for Emotion Recognition: A Preliminary Investigation | ||
| S6.1.4 | Exploring the Relationship Between Performance and Environmental Sustainability in Measurement Systems: A Preliminary Study | ||
| PS3.15 | STeMMA - Telerehabilitation System With Area Muscle Monitoring | ||
| De Carli, Paolo | PS_IND.20 | Control and Thermal Design of a Bi-Directional Grid Interface Converter for Fast-Recharging Stations Developed in the Framework of the Italian PNRR Research Activities | |
| De Luca, Valerio | S4.3.3 | Stability of Feature Detection Algorithms in Low Quality Video Encoding | |
| De Magistris, Silvio | S3.4 - Part II.2 | A SDGs-Based AI Ethics: Considering Computer Vision | |
| De Marchi, Beatrice | S1.3.3 | Development and Validation of a Wearable System for Multi-Parametric Stress Level Assessment | |
| De Marchis, Cristiano | PS_IND.14 | Artificial Neural Network Modeling of Microwave Sensors for Dielectric Liquids Characterization | |
| De Pace, Francesco | S1.2.1 | Storytelling in the Metaverse: From Desktop to Immersive Virtual Reality Storyboarding | |
| De Palma, Luisa | PS3.9 | U-Net Convolutional Neural Network for Optic Disc Segmentation | |
| De Paolis, Lucio | S4.3.3 | Stability of Feature Detection Algorithms in Low Quality Video Encoding | |
| De Rosa, Salvatore | S3.2.2 | Deep Learning Model for Video-Classification of Echocardiography Images | |
| De Simone, Flavia | S8.3.3 | Training Intelligent Driver State Monitoring Systems: Design and Validation of an Experimental Procedure in a Driving Simulator Environment | |
| De Vincentiis, Mirko | S6.3.3 | Artificial Intelligence for Automotive Security: How to Support Developers in Automotive Solutions | |
| S6.3.4 | Automotive Knowledge Base for Supporting Vehicle-SOC Analysts | ||
| De Vos, Maarten | S4.4.1 | Cross-Subject Mindfulness Meditation EEG Decoding | |
| Del Bimbo, Alberto | S3.4 - Part II.2 | A SDGs-Based AI Ethics: Considering Computer Vision | |
| Del Bono, Fabiana | PS1.1 | Comparison of Data Compression Methods for Implanted Real-Time Peripheral Nervous System | |
| Del Chicca, Irene | S1.3.2 | A Novel Ecological EEG Protocol to Assess Cognitive Load During Balance Task in Rehabilitation Settings | |
| S3.1.3 | Toward an EEG-Based System for Monitoring Cognitive Load in Neurosurgeons | ||
| PS2.2 | Synchronisation Issues in Wireless EEG Systems for P300 Amplitude Measurement: Ab Medica Helmate Case Study | ||
| S7.4.4 | Investigation of Neurophysiological Biomarkers Using Dry Electrodes EEG Device in Patients With Neurological Diseases Undergoing Motor Neurorehabilitation: Protocol Trial | ||
| PS3.4 | Feasibility and Accuracy of a Dry and Wireless EEG Helmet for Upper Limb Motor Imagery-Based Brain-Computer Interfaces | ||
| Del Sorbo, Sergio | PS2.15 | Integrating Gaze Tracking With Augmented Reality on Mobile Devices: A Framework for Enhanced User Interaction | |
| Della Calce, Anna | S3.1.3 | Toward an EEG-Based System for Monitoring Cognitive Load in Neurosurgeons | |
| PS2.2 | Synchronisation Issues in Wireless EEG Systems for P300 Amplitude Measurement: Ab Medica Helmate Case Study | ||
| Delmonte, Nicola | PS_IND.2 | Electrical Vehicle Fleet Management for Industrial Environment With Battery SoH Prediction Through Neural Networks | |
| Demarchi, Danilo | PS1.1 | Comparison of Data Compression Methods for Implanted Real-Time Peripheral Nervous System | |
| Demetrio, Adriano | PS_IND.22 | IoT Sensor for Measuring Corrosion in Metal Artworks | |
| Demirkol, Ahmet Samil | S7.1.2 | Local Fading Memory Effects in a Tantalum Oxide ReRAM Cell From Hewlett Packard Labs | |
| PS3.8 | Analytical Derivation of Sharp-Edge-Of-Chaos Domain in a One-Dimensional Memristor Array | ||
| Destito, Michela | S3.2.2 | Deep Learning Model for Video-Classification of Echocardiography Images | |
| Di Bernardo, Irene | S8.1.4 | Dealing With Learning Vulnerability: Service Robots to Nudge Student Engagement | |
| Di Dio, Cinzia | S8.2.2 | An Anthropomorphic Robot With ChatGPT for Learning Activities: The Teachers' Perspective | |
| Di Domenico, Nicolò | S3.4 - Part I.1 | A Framework to Improve the Comparability and Reproducibility of Morphing Attack Detectors | |
| S3.4 - Part I.2 | On the Human Ability in Detecting Digitally Manipulated Face Images | ||
| Di Fuccio, Raffaele | S6.2.3 | "Escape With Pulcinella": Development of a Gamified Environment and Pilot Study on Escape Rooms for Language Learning and Cultural Knowledge Acquisition | |
| Di Giacomo, Susanna | PS2.9 | Neural Networks Embedded in Wearable Devices: A Preliminary Digital vs. Analog Comparison | |
| Di Maio, Christian | S2.2.5 | Enhancing Museum Security With Advanced Scene-Based Action Recognition Techniques | |
| Di Paolo, Marika | S6.1.2 | The Wild Boar as an Ecosystem Service: Moving Steps Towards Biodiversity Engineering | |
| Di Ventra, Massimiliano | S7.1.1 | MemComputing Applications in Machine Learning | |
| Diano, Federico | S6.2.5 | Enhancing Career-Related Teacher Support Through Technologies: The NEFELE Training Model | |
| S7.2.1 | "Safer": Design and Development of a Supportive Assistant for Emotion Regulation | ||
| Dijkstra-Soudarissanane, Sylvie | PS2.21 | The Value of Immersive Communication Systems in Online Meetings: A Problem Statement and Literature Review | |
| Dimitri, Giovanna | PS1.11 | WeAIR: Wearable Swarm Sensors for Air Quality Monitoring to Foster Citizens' Awareness of Climate Change | |
| Doan, Nguyen Anh Vu | S2.3.1 | Toward Safe Human Machine Interface and Computer-Aided Diagnostic Systems | |
| Dolci, Giorgio | S2.4.1 | Objective Assessment of the Bias Introduced by Baseline Signals in XAI Attribution Methods | |
| Dolino, Gianmarco | PS2.3 | Development of Synthetic 3D Printed Knee Joint to Assess Mechanical and Functional Properties of Degenerative Cartilage | |
| Donati, Marco | PS1.10 | Comparison of Two Video-Based Methods for Knee Joint Angle Measurement: A Preliminary Study | |
| Donato, Nicola | PS_IND.14 | Artificial Neural Network Modeling of Microwave Sensors for Dielectric Liquids Characterization | |
| PS_IND.15 | Defect Modeling During the SLM Process for Manufacturing Microwave Devices | ||
| PS_IND.16 | GaN HEMT Modeling Using an Optimization Strategy Based on Gated Recurrent Unit Networks | ||
| S5.1.4 | A Novel Machine Learning Algorithm for State of Health Prediction of Lithium-Ion Batteries | ||
| Donisi, Leandro | PS2.7 | A Machine Learning Approach to Classify Ventilatory Efficiency | |
| S5.3.2 | Feasibility of Tree-Based Machine Learning Models to Discriminate Safe and Unsafe Posture During Weight Lifting | ||
| Dragoni, Aldo | PS_IND.8 | A Comparison of Time Series Prediction Techniques for the Realization of a Smart Thermostat | |
| S3.4 - Part I.4 | Evaluating Deep Neural Networks for Face Recognition With Different Subsets of Mugshots From the Photo-Signaling Procedure | ||
| PS3.11 | Machine Learning-Based Classification of the Traffic of Digital Marketing Campaigns | ||
| Du, Minghe | PS_IND.15 | Defect Modeling During the SLM Process for Manufacturing Microwave Devices | |
| Dudnik, Gabriela | S4.3.1 | The EXPERIENCE Project: Unveiling 'Extended-Personal Reality' Through Automated VR Environments and Explainable Artificial Intelligence | |
| Duggento, Andrea | S4.3.1 | The EXPERIENCE Project: Unveiling 'Extended-Personal Reality' Through Automated VR Environments and Explainable Artificial Intelligence | |
| Duraccio, Luigi | S1.3.1 | Expanding the Frontiers of Wearable Brain-Computer Interfaces Combining Augmented Reality and Visually Evoked Potentials | |
| S4.3.2 | Exploring the Potential of Eye-Tracking Technology for Emotion Recognition: A Preliminary Investigation | ||
| S6.1.4 | Exploring the Relationship Between Performance and Environmental Sustainability in Measurement Systems: A Preliminary Study | ||
| E A B C D E F G H I J K L M N O P Q R S T U V W X Y Z | |||
| El-Dawlatly, Seif | S4.4.4 | A Brain-Computer Interface Augmented Reality Framework With Auto-Adaptive SSVEP Recognition | |
| Eldebiky, Amro | S7.1.4 | Analog Feedback-Controlled Memristor Programming Circuit for Analog Content Addressable Memory | |
| Elhag, Wafa | S3.4 - Part II.3 | A Survey on the Applications, Limitations, and Ethical Considerations of ChatGPT in Various Industries | |
| Elmahallawy, Mohamed | S4.4.4 | A Brain-Computer Interface Augmented Reality Framework With Auto-Adaptive SSVEP Recognition | |
| Erra, Ugo | S1.2.4 | An Educational Approach for Mixed Reality Visualization of Agro-Meteorological Parameters | |
| Esmaili, Parisa | PS_IND.19 | The MICS Project: A Data Science Pipeline for Industry 4.0 Applications | |
| S4.2.3 | TinyML Anomaly Detection in Portable Cutting Tools | ||
| Esmaili, Parvaneh | S4.2.3 | TinyML Anomaly Detection in Portable Cutting Tools | |
| Espinoza, Delfina | S2.3.1 | Toward Safe Human Machine Interface and Computer-Aided Diagnostic Systems | |
| Esposito, Antonino | S6.3.5 | Proposing a Natural Language Processing Approach to Detect Personal Meaning Organizations Linguistic Patterns | |
| Esposito, Antonio | S6.1.4 | Exploring the Relationship Between Performance and Environmental Sustainability in Measurement Systems: A Preliminary Study | |
| PS3.3 | Sinc-EEGNet for Improving Performance While Reducing Calibration of a Motor Imagery-Based BCI | ||
| Esposito, Concetta | S6.2.1 | The Implementation of a Mobile Game for Social Inclusion in Multicultural School Contexts | |
| Esposito, Fabrizio | S5.3.2 | Feasibility of Tree-Based Machine Learning Models to Discriminate Safe and Unsafe Posture During Weight Lifting | |
| Esposito, Luigi | S6.1.2 | The Wild Boar as an Ecosystem Service: Moving Steps Towards Biodiversity Engineering | |
| Esposito, Luigi | S6.1.3 | Enhancing Urban Environmental Sustainability Through Unified Stakeholders Needs Co-Creation Process (ΑΕΝΕΑ) | |
| Esposito, Raffaella | S7.2.3 | Autoencoders as a Tool to Detect Nonlinear Relationships in Latent Variables Models | |
| Estatico, Claudio | S3.3.2 | A Multifrequency Inverse-Scattering Technique for Brain Stroke Microwave Diagnostics | |
| F A B C D E F G H I J K L M N O P Q R S T U V W X Y Z | |||
| Fabbrocino, Giovanni | PS1.16 | Multiscale Digital Platforms for Safety Management and Maintenance of Road Networks | |
| Fabbrocino, Silvia | PS1.16 | Multiscale Digital Platforms for Safety Management and Maintenance of Road Networks | |
| Faifer, Marco | PS_IND.22 | IoT Sensor for Measuring Corrosion in Metal Artworks | |
| Falanga, Matteo | S1.1.4 | A Digital Twin Approach for Stroke Risk Assessment in Atrial Fibrillation Patients | |
| Falciati, Luca | S5.2.1 | High-Density Surface Electromyography Allows for Longitudinal Assessment of the Neural Drive to Muscle in Individuals With Acute Stroke | |
| Falcionelli, Nicola | S3.4 - Part I.4 | Evaluating Deep Neural Networks for Face Recognition With Different Subsets of Mugshots From the Photo-Signaling Procedure | |
| Fang, Lili | PS_IND.15 | Defect Modeling During the SLM Process for Manufacturing Microwave Devices | |
| Fantini, Alessia | S8.2.4 | Using Social Scripts in Human-Robot Interaction | |
| Farinella, Giovanni | S5.1.2 | An AR-Based Tool for Acquisition and Automatic Labeling of Human-Object Interactions From First Person Vision | |
| Favilla, Marco | S7.2.4 | WAITASEC: The Development of an Application for People' Digital Wellness | |
| Fazio, Enza | PS_IND.16 | GaN HEMT Modeling Using an Optimization Strategy Based on Gated Recurrent Unit Networks | |
| Fedeli, Alessandro | S3.3.2 | A Multifrequency Inverse-Scattering Technique for Brain Stroke Microwave Diagnostics | |
| Feio, Maria João | S6.1.3 | Enhancing Urban Environmental Sustainability Through Unified Stakeholders Needs Co-Creation Process (ΑΕΝΕΑ) | |
| Feoli, Chiara | S8.3.1 | Deploying Unsupervised Learning for Daily Activity Windows Analisys in Cancer Patients | |
| Fernandez-Berni, Jorge | PS2.10 | An Analog-To-Information Architecture for Single-Chip Sensor-Processor Inference System | |
| Ferorelli, Giuseppe | S2.2.2 | Enhancing Fluorescence Image Analysis Through Deep Learning | |
| Ferracuti, Francesco | S4.4.2 | Mental Fatigue Evaluation for Passive and Active Brain-Computer-interface(BCI) for Wheelchair-Robot During Human-In-The-Loop Control | |
| Ferrante, Matteo | S4.3.1 | The EXPERIENCE Project: Unveiling 'Extended-Personal Reality' Through Automated VR Environments and Explainable Artificial Intelligence | |
| Ferrara, Antonella | S6.2.2 | Virtual Agents and Proxemic Distances: How Social Interactions Affect Our Spatial Representations | |
| Ferrara, Matteo | S3.4 - Part I.1 | A Framework to Improve the Comparability and Reproducibility of Morphing Attack Detectors | |
| Ferrari, Federica | S5.2.4 | An EMG-Triggered Cooperative Controller for a Hybrid FES-Robotic System | |
| Ferrari, Stefano | PS_IND.2 | Electrical Vehicle Fleet Management for Industrial Environment With Battery SoH Prediction Through Neural Networks | |
| Ferrari, Vincenzo | S1.1.1 | Proof of Concept of Using HoloLens 2 for AR Immersive Training in Complex Medical Scenarios | |
| PS1.4 | Docking of the Da Vinci Surgical Robot Using Mixed Reality | ||
| Ferrero, Alessandro | S3.4 - Part II.1 | A Metrological Approach to Ethical and Legal Issues in Artificial Intelligence | |
| Fioravanti, Andrea | PS3.14 | Machine Learning for Anomaly Detection in Induction Motors | |
| Fiorentino, Costanza | S1.2.4 | An Educational Approach for Mixed Reality Visualization of Agro-Meteorological Parameters | |
| Fiorini, Carlo | PS2.9 | Neural Networks Embedded in Wearable Devices: A Preliminary Digital vs. Analog Comparison | |
| Fiorucci, Edoardo | PS3.14 | Machine Learning for Anomaly Detection in Induction Motors | |
| Fischer, Kerstin | S8.2.1 | The Effect of Performance Features of Telepresence Robots on Personality Perception of Their Users | |
| S8.2.5 | Mitigating the Negative Effect of Telepresence Robots via an Empathy-Eliciting Robot Moderator | ||
| Flammini, Benedetta | PS_IND.1 | Improving Remaining Useful Life Estimation of Lithium-Ion Batteries When Nearing End of Life | |
| Flores, Alexandra | S3.3.5 | Microwave Imaging for Brain Cancer Detection: Enhanced Accuracy With Machine Learning Approach | |
| S3.3.4 | Segmentation Approach for Enhanced Biomedical Microwave Imaging | ||
| Fontana, Marta | PS1.2 | Assessment and Ontological Modeling of Physical and Cognitive Impairments to Foster the Employment of People With Disabilities | |
| Fornai, Pietro | PS1.7 | The Use of Artificial Intelligence for Sign Language Recognition: From a Literature Overview to the ISENSE Project | |
| Forni, Riccardo | S3.2.1 | Advanced 3D Printing of Patient-Specific Human Heart for Improved Surgical Planning | |
| PS2.3 | Development of Synthetic 3D Printed Knee Joint to Assess Mechanical and Functional Properties of Degenerative Cartilage | ||
| Fort, Ada | PS1.11 | WeAIR: Wearable Swarm Sensors for Air Quality Monitoring to Foster Citizens' Awareness of Climate Change | |
| PS_IND.9 | Bearing Failure Classification With Low Complexity Neural Network | ||
| PS_IND.10 | Machine Learning Regressor for Impedance Parameter Estimation of QCM Sensors for Liquid Media Characterization | ||
| Foti, Enrico | PS_IND.12 | Calibration of a Clustering Algorithm to Improve the Nearshore Wave Prediction System | |
| Franco, Annalisa | S3.4 - Part I.2 | On the Human Ability in Detecting Digitally Manipulated Face Images | |
| S3.4 - Part I.1 | A Framework to Improve the Comparability and Reproducibility of Morphing Attack Detectors | ||
| Françoise, Brian | PS_IND.4 | Test and Measurement of Lead-Acid and Lithium Battery Packs Performance for Telecom Applications, Case Study: Radio Access Network | |
| Freddi, Alessandro | PS2.16 | An Assistive Robot in an Indoor Scenario: The Stretch Hello Robot as Environment Organizer | |
| S4.4.2 | Mental Fatigue Evaluation for Passive and Active Brain-Computer-interface(BCI) for Wheelchair-Robot During Human-In-The-Loop Control | ||
| Frommholz, Ingo | PS2.20 | Towards the Integration of Metaverse and Multimedia Information Retrieval | |
| Frosolone, Mirco | S3.1.3 | Toward an EEG-Based System for Monitoring Cognitive Load in Neurosurgeons | |
| Frumento, Sergio | S6.3.2 | Development of a Behavioral Avoidance Test in Virtual Reality (VR-BAT) | |
| Fuerte-Jurado, Alejandro | PS1.6 | Jewelry Recognition via Encoder-Decoder Models | |
| Furnari, Antonino | S5.1.2 | An AR-Based Tool for Acquisition and Automatic Labeling of Human-Object Interactions From First Person Vision | |
| Fyrigos, Iosif-Angelos | S8.3.5 | Recognition of Greek Alphabet Characters With Memristive Neuromorphic Circuit | |
| G A B C D E F G H I J K L M N O P Q R S T U V W X Y Z | |||
| Gabbrielli, Simone | PS1.12 | Predictive Maintenance of Actuated Quarter-Turn Valves Using Artificial Intelligence | |
| Gaeta, Maria Cristina | S3.4 - Part II.4 | The Possible Relationships Between Law and Ethics Applied to AI | |
| Galati, Emanuele | PS2.15 | Integrating Gaze Tracking With Augmented Reality on Mobile Devices: A Framework for Enhanced User Interaction | |
| Gallo, Luigi | S1.2.5 | Digital Practices: Introducing Social Dimension in Digital Twins | |
| Gallo, Vincenzo | PS3.13 | A Survey on Uncertainty Assessment in ANN-Based Measurements | |
| Gandolla, Marta | PS2.6 | Bayesian Optimization With Multi Constraints for Planar Rotary Spring Design | |
| PS2.22 | Parsimonious Technologies for Sensing Upper Limb Muscles Activation | ||
| S5.2.4 | An EMG-Triggered Cooperative Controller for a Hybrid FES-Robotic System | ||
| S5.2.5 | Towards Personalized Myoelectric Control Strategies | ||
| Garcia, Clara | PS2.18 | Virtual Experience Toolkit: Enhancing 3D Scene Virtualization From Real Environments Through Computer Vision and Deep Learning Techniques | |
| García Guirao, Daniel | S4.3.4 | Ethical Considerations for AI-Driven Adaptive Virtual Environments in VR Training for First Responders: An Industry Perspective | |
| Gargiulo, Ludovica | S3.1.3 | Toward an EEG-Based System for Monitoring Cognitive Load in Neurosurgeons | |
| PS2.1 | EEG and HRV-Based Assessment of Neurosurgeons Training for Anxiety Regulation and Stress Monitoring | ||
| PS2.2 | Synchronisation Issues in Wireless EEG Systems for P300 Amplitude Measurement: Ab Medica Helmate Case Study | ||
| Gargiulo, Paolo | S3.2.1 | Advanced 3D Printing of Patient-Specific Human Heart for Improved Surgical Planning | |
| PS2.3 | Development of Synthetic 3D Printed Knee Joint to Assess Mechanical and Functional Properties of Degenerative Cartilage | ||
| S5.3.3 | Heart Rate Variability During a Complex Postural Control Task With the BioVRSea Paradigm | ||
| Gatt, Lucilla | S3.4 - Part II.4 | The Possible Relationships Between Law and Ethics Applied to AI | |
| Gatti, Gianluca | PS_IND.18 | Vibration Energy Harvesting From Planar Excitations in Industrial Machines | |
| PS_IND.24 | Nonlinear Dynamics of a Softening-Hardening Oscillator for Energy Harvesting in Industrial Applications | ||
| PS_IND.17 | Prototype of an Industrial Measurement System for Thermal Conductivity of Scuba Diving Wet Suits | ||
| PS_IND.23 | Characterization of a Linear X-Shaped-Spring Suspension With Nonlinear Damping for Industrial Vibration Control Applications | ||
| Gemignani, Angelo | S6.3.2 | Development of a Behavioral Avoidance Test in Virtual Reality (VR-BAT) | |
| Genova, Oleg | PS2.16 | An Assistive Robot in an Indoor Scenario: The Stretch Hello Robot as Environment Organizer | |
| Gentili, Claudio | S4.3.1 | The EXPERIENCE Project: Unveiling 'Extended-Personal Reality' Through Automated VR Environments and Explainable Artificial Intelligence | |
| Gervasoni, Elisa | S1.3.2 | A Novel Ecological EEG Protocol to Assess Cognitive Load During Balance Task in Rehabilitation Settings | |
| Giannone, Elisabetta | PS3.6 | Closed-Loop In-Memory Computing for Energy-Efficient Matrix Eigendecomposition | |
| Giaquinto, Nicola | PS3.10 | The SNOWED Dataset and Its Application to Po River Monitoring Through Satellite Images | |
| Gigliotta, Onofrio | S7.2.5 | Putting the Pieces Together: Exploring the Dimensionality of Enhanced Baking Tray Task Indexes in School-Aged Children | |
| Giles, Joshua | PS2.19 | Analysing and Modelling Human Trust to a Navigation Robot | |
| Giliberti, Vincenzo | PS3.12 | VO.I.C.E. FIRST: Supporting Human Assistants With Real-Time Voice Understanding | |
| Gilio, Gabriele | S1.2.4 | An Educational Approach for Mixed Reality Visualization of Agro-Meteorological Parameters | |
| Gillmeister, Helge | S3.1.5 | Maths Anxiety and Cognitive States Monitoring for Neuroadaptive Learning Systems Using Electroencephalography | |
| Giudice, Oliver | S3.4 - Part I.5 | An Innovative Tool for Uploading/Scraping Large Image Datasets on Social Networks | |
| S3.4 - Part I.3 | Deep Audio Analyzer: A Framework to Industrialize the Research on Audio Forensics | ||
| Giugliano, Salvatore | S2.4.3 | Assessing the Features on Blood Glucose Level Prediction in Type 1 Diabetes Patients Through Explainable Artificial Intelligence | |
| Gledhill, Duke | S1.2.3 | A Novel Methodology for the Optimisation of Photogrammetry Data of Physical Objects for Use in Metaverse Virtual Environments | |
| Gomez-Zaragoza, Lucia | S4.3.2 | Exploring the Potential of Eye-Tracking Technology for Emotion Recognition: A Preliminary Investigation | |
| Gontran-Massey, Alexander | PS3.4 | Feasibility and Accuracy of a Dry and Wireless EEG Helmet for Upper Limb Motor Imagery-Based Brain-Computer Interfaces | |
| Gouret, Alix | S4.4.3 | Low-Contrast SSVEP Stimuli to Improve User Experience of Brain-Computer Interface Involving Virtual Reality | |
| Gozzi, Manuel | PS3.12 | VO.I.C.E. FIRST: Supporting Human Assistants With Real-Time Voice Understanding | |
| Grasso, Francesco | PS1.12 | Predictive Maintenance of Actuated Quarter-Turn Valves Using Artificial Intelligence | |
| S2.2.4 | Prognostic Analysis of Switching Devices in DC-DC Converters | ||
| Graziani, Salvatore | PS_IND.11 | Estimating Finite-Time Delay in Dynamical Soft Sensors for Industrial Processes: Robustness to Noise | |
| Greco, Alberto | S6.3.2 | Development of a Behavioral Avoidance Test in Virtual Reality (VR-BAT) | |
| Gritsenko, Tatyana | PS_IND.26 | Uncertainty Evaluation in Knife-Edge Laser Spot-Size Measurements for Industrial Applications | |
| PS_IND.25 | Optical Fiber Sensor for Real-Time Monitoring of Industrial Structures and Application to Urban Telecommunication Networks | ||
| Gruosso, Giambattista | PS_IND.19 | The MICS Project: A Data Science Pipeline for Industry 4.0 Applications | |
| Gualous, Hamid | PS_IND.4 | Test and Measurement of Lead-Acid and Lithium Battery Packs Performance for Telecom Applications, Case Study: Radio Access Network | |
| Guerra, Germano | PS2.7 | A Machine Learning Approach to Classify Ventilatory Efficiency | |
| Guerrieri, Antonio | S6.3.5 | Proposing a Natural Language Processing Approach to Detect Personal Meaning Organizations Linguistic Patterns | |
| Guerrini, Lorena | PS2.3 | Development of Synthetic 3D Printed Knee Joint to Assess Mechanical and Functional Properties of Degenerative Cartilage | |
| S5.3.3 | Heart Rate Variability During a Complex Postural Control Task With the BioVRSea Paradigm | ||
| Gugliandolo, Giovanni | PS_IND.14 | Artificial Neural Network Modeling of Microwave Sensors for Dielectric Liquids Characterization | |
| PS_IND.15 | Defect Modeling During the SLM Process for Manufacturing Microwave Devices | ||
| PS_IND.16 | GaN HEMT Modeling Using an Optimization Strategy Based on Gated Recurrent Unit Networks | ||
| S5.1.4 | A Novel Machine Learning Algorithm for State of Health Prediction of Lithium-Ion Batteries | ||
| Gugliermino, Martina | S3.3.3 | A Machine Learning Approach to Microwave Sensing for Non-Invasive Alzheimer's Disease Detection | |
| Guida, Pasquale | S3.2.3 | Optimization of 3D Fused Deposition Modeling Printing Process for the Manufacturing of Devices for Medical Use | |
| Guixeres, Jaime | S4.3.1 | The EXPERIENCE Project: Unveiling 'Extended-Personal Reality' Through Automated VR Environments and Explainable Artificial Intelligence | |
| Gunkel, Simon | PS2.21 | The Value of Immersive Communication Systems in Online Meetings: A Problem Statement and Literature Review | |
| Gunnarsson, Arnar | S3.2.1 | Advanced 3D Printing of Patient-Specific Human Heart for Improved Surgical Planning | |
| H A B C D E F G H I J K L M N O P Q R S T U V W X Y Z | |||
| H, Ranjana | S2.4.5 | CSP-LSTM Based Emotion Recognition From EEG Signals | |
| Hagiwara, Yuki | S2.3.1 | Toward Safe Human Machine Interface and Computer-Aided Diagnostic Systems | |
| Hamad, Jafar | PS1.4 | Docking of the Da Vinci Surgical Robot Using Mixed Reality | |
| Hamzaoui, Othmane | PS_IND.4 | Test and Measurement of Lead-Acid and Lithium Battery Packs Performance for Telecom Applications, Case Study: Radio Access Network | |
| Hang, Zhicheng | PS2.6 | Bayesian Optimization With Multi Constraints for Planar Rotary Spring Design | |
| Hemmje, Matthias L. | PS2.20 | Towards the Integration of Metaverse and Multimedia Information Retrieval | |
| Hill, Yannick | S2.1.1 | xHits: An Automatic Team Performance Metric for VR Police Training | |
| Hilzensauer, Marlene | PS1.7 | The Use of Artificial Intelligence for Sign Language Recognition: From a Literature Overview to the ISENSE Project | |
| Hizzani, Mohammad | S7.1.4 | Analog Feedback-Controlled Memristor Programming Circuit for Analog Content Addressable Memory | |
| Huang, Shirong | S7.1.6 | Rapid Detection of SARS-CoV-2 Antigen Utilizing Machine Learning-Enabled Graphene-Based Smart Gas Sensors | |
| Huang, Su-Chun | S7.4.4 | Investigation of Neurophysiological Biomarkers Using Dry Electrodes EEG Device in Patients With Neurological Diseases Undergoing Motor Neurorehabilitation: Protocol Trial | |
| I A B C D E F G H I J K L M N O P Q R S T U V W X Y Z | |||
| Iachini, Tina | S6.2.2 | Virtual Agents and Proxemic Distances: How Social Interactions Affect Our Spatial Representations | |
| S6.2.4 | Affective Evaluations of Rooms in Immersive Virtual Reality: The Effect of Naturalistic Elements | ||
| Iacono, Saverio | S1.2.2 | Metaverse, a Year After: Evolution of XR Tools and Generative-AI | |
| Iammarino, Martina | PS2.4 | Raman Spectroscopy of Cells for Cancer Classification Through Machine Learning | |
| Iannizzotto, Alessio | S6.3.2 | Development of a Behavioral Avoidance Test in Virtual Reality (VR-BAT) | |
| Iarlori, Sabrina | S4.4.2 | Mental Fatigue Evaluation for Passive and Active Brain-Computer-interface(BCI) for Wheelchair-Robot During Human-In-The-Loop Control | |
| Iazurlo, Romano | S8.3.4 | A Modern Approach to Dimensional Inspection by Implementing Annotated 3D Cad Model in a Digital Manufacturing Environment | |
| Ibarlucea, Bergoi | S7.1.6 | Rapid Detection of SARS-CoV-2 Antigen Utilizing Machine Learning-Enabled Graphene-Based Smart Gas Sensors | |
| Iberite, Francesco | S5.2.3 | Feasibility of a Portable, Wearable, High-Density Surface EMG Device for Detecting Functional Hand-Object Interactions | |
| Ielmini, Daniele | PS3.6 | Closed-Loop In-Memory Computing for Energy-Efficient Matrix Eigendecomposition | |
| Imbò, Monica | S6.1.4 | Exploring the Relationship Between Performance and Environmental Sustainability in Measurement Systems: A Preliminary Study | |
| Improta, Massimo | PS1.3 | A Scalable VR-Based System to Assess Driving-Related Abilities in People With Disability | |
| Intravaia, Matteo | PS1.12 | Predictive Maintenance of Actuated Quarter-Turn Valves Using Artificial Intelligence | |
| S2.2.4 | Prognostic Analysis of Switching Devices in DC-DC Converters | ||
| Iodice, Gesualda | S8.1.3 | Museum Accessibility: A Managerial Perspective on Digital Approach | |
| Ipanaque Arevalo, Felix | S3.1.1 | Emotions of Dreams Identified Without Awakenings by Machine and Deep Learning From EEG Signals in REM Sleep | |
| Isgro, Francesco | PS2.11 | Toward the Improvement of Probabilistic Classifiers Using Ontologies | |
| Iturrino, Carlos | PS1.12 | Predictive Maintenance of Actuated Quarter-Turn Valves Using Artificial Intelligence | |
| S2.2.4 | Prognostic Analysis of Switching Devices in DC-DC Converters | ||
| Iuppa, Claudio | PS_IND.12 | Calibration of a Clustering Algorithm to Improve the Nearshore Wave Prediction System | |
| Iuppariello, Luigi | S3.2.3 | Optimization of 3D Fused Deposition Modeling Printing Process for the Manufacturing of Devices for Medical Use | |
| Ivorra, Eugenio | PS2.18 | Virtual Experience Toolkit: Enhancing 3D Scene Virtualization From Real Environments Through Computer Vision and Deep Learning Techniques | |
| J A B C D E F G H I J K L M N O P Q R S T U V W X Y Z | |||
| James, Alex | S4.1.4 | Aging Aware Retraining With a Sparse Update for Neuromorphic Computing | |
| Janku, Fjoralba | PS3.1 | Estimation of Ground NO2 Measurements From Sentinel-5P Tropospheric Data Through Categorical Boosting | |
| Jaspaert, Emma | S4.3.4 | Ethical Considerations for AI-Driven Adaptive Virtual Environments in VR Training for First Responders: An Industry Perspective | |
| Jeong, Hojun | S7.4.5 | Virtual Hand Illusion-Based Motor Imagery Guidance System for Stroke Patients: A Pilot Study | |
| Jimenez-Roldan, Luis | S2.4.2 | Sparse to Dense Ground Truth Pre-Processing in Hyperspectral Imaging for In-Vivo Brain Tumour Detection | |
| John, Angel | S4.1.3 | Ethical Challenges of Using Artificial Intelligence in Judiciary | |
| Juarez, Eduardo | S2.4.2 | Sparse to Dense Ground Truth Pre-Processing in Hyperspectral Imaging for In-Vivo Brain Tumour Detection | |
| Jung, Haemin | S7.4.5 | Virtual Hand Illusion-Based Motor Imagery Guidance System for Stroke Patients: A Pilot Study | |
| Jungbluth, Tobias | S2.3.5 | Comparing the Effects of Dry, Water and Gel-Based Electrodes on EEG-Based Overt Speech Classification | |
| K A B C D E F G H I J K L M N O P Q R S T U V W X Y Z | |||
| K, Sana Parveen | S2.4.5 | CSP-LSTM Based Emotion Recognition From EEG Signals | |
| Kalemis, Ioannis | S6.2.5 | Enhancing Career-Related Teacher Support Through Technologies: The NEFELE Training Model | |
| Kalkofen, Denis | S3.1.2 | Towards Neuroadaptive Piano Tutorials | |
| Kameas, Achilles | S6.2.5 | Enhancing Career-Related Teacher Support Through Technologies: The NEFELE Training Model | |
| Kameli, Sayed Mohammad | S4.2.4 | Static Eccentricity Fault Analysis in Three-Phase Induction Motors Using Current Signal | |
| Kapsomenaki, Iphigeneia | S6.1.3 | Enhancing Urban Environmental Sustainability Through Unified Stakeholders Needs Co-Creation Process (ΑΕΝΕΑ) | |
| Karaiskou, Angeliki | S4.4.1 | Cross-Subject Mindfulness Meditation EEG Decoding | |
| Karamani, Rafailia-Eleni | S8.3.5 | Recognition of Greek Alphabet Characters With Memristive Neuromorphic Circuit | |
| Karasik, Valery | PS_IND.25 | Optical Fiber Sensor for Real-Time Monitoring of Industrial Structures and Application to Urban Telecommunication Networks | |
| PS_IND.26 | Uncertainty Evaluation in Knife-Edge Laser Spot-Size Measurements for Industrial Applications | ||
| Kasana, Singara | S4.2.2 | Early Detection of Fire in EV Battery Using Machine Learning Approach | |
| Kaur, Ishpreet | S4.2.2 | Early Detection of Fire in EV Battery Using Machine Learning Approach | |
| Kenyon, Tony | S7.1.3 | A SPICE Model for Simulating Current Transients in the Subthreshold Regime of Memristors | |
| Khan, Amir | PS2.10 | An Analog-To-Information Architecture for Single-Chip Sensor-Processor Inference System | |
| Khan, Roman | PS_IND.25 | Optical Fiber Sensor for Real-Time Monitoring of Industrial Structures and Application to Urban Telecommunication Networks | |
| Kim, Jonghyun | S7.4.5 | Virtual Hand Illusion-Based Motor Imagery Guidance System for Stroke Patients: A Pilot Study | |
| Kim, Minyoung | S7.4.5 | Virtual Hand Illusion-Based Motor Imagery Guidance System for Stroke Patients: A Pilot Study | |
| Kitsios, Stavros | S8.3.5 | Recognition of Greek Alphabet Characters With Memristive Neuromorphic Circuit | |
| Kolekar, Mahesh | S5.3.5 | VGG16 Architecture Based Atrial Fibrillation Detection Using ECG | |
| Komici, Klara | PS2.7 | A Machine Learning Approach to Classify Ventilatory Efficiency | |
| Korik, Attila | S7.4.3 | Decoding Motion Trajectories in an Online Upper Limb BCI: Linear Regression Vs Deep Learning | |
| Koshelev, Kirill | PS_IND.25 | Optical Fiber Sensor for Real-Time Monitoring of Industrial Structures and Application to Urban Telecommunication Networks | |
| Koutalieris, Georgios | S6.1.3 | Enhancing Urban Environmental Sustainability Through Unified Stakeholders Needs Co-Creation Process (ΑΕΝΕΑ) | |
| Krüger, Antonio | S2.3.5 | Comparing the Effects of Dry, Water and Gel-Based Electrodes on EEG-Based Overt Speech Classification | |
| L A B C D E F G H I J K L M N O P Q R S T U V W X Y Z | |||
| La Bella, Alessio | PS_IND.19 | The MICS Project: A Data Science Pipeline for Industry 4.0 Applications | |
| Lafont, Alex | S4.4.3 | Low-Contrast SSVEP Stimuli to Improve User Experience of Brain-Computer Interface Involving Virtual Reality | |
| Lagares, Alfonso | S2.4.2 | Sparse to Dense Ground Truth Pre-Processing in Hyperspectral Imaging for In-Vivo Brain Tumour Detection | |
| Laino, Valter | PS3.13 | A Survey on Uncertainty Assessment in ANN-Based Measurements | |
| Lan, Hongyi | S2.1.4 | Time-Delay Tolerance of Visual and Olfactory Feedback in Multi-Sensory Extended Reality | |
| Lanciotti, Antonio | PS_IND.8 | A Comparison of Time Series Prediction Techniques for the Realization of a Smart Thermostat | |
| Landi, David | S2.2.1 | Deep Learning Techniques for Text Generation to Support Augmentative and Alternative Communication | |
| Landi, Elia | PS_IND.9 | Bearing Failure Classification With Low Complexity Neural Network | |
| Laneve, Giovanni | S6.1.5 | Comparison of 1D and 3D Convolutional Neural Networks for Wildfire Detection Using PRISMA Hyperspectral Imagery and Domain Adaptation | |
| Lanzolla, Vincenzo | PS3.12 | VO.I.C.E. FIRST: Supporting Human Assistants With Real-Time Voice Understanding | |
| Lassi, Michael | PS3.4 | Feasibility and Accuracy of a Dry and Wireless EEG Helmet for Upper Limb Motor Imagery-Based Brain-Computer Interfaces | |
| Latino, Mariangela | PS_IND.14 | Artificial Neural Network Modeling of Microwave Sensors for Dielectric Liquids Characterization | |
| PS_IND.16 | GaN HEMT Modeling Using an Optimization Strategy Based on Gated Recurrent Unit Networks | ||
| Lattuada, Roberto | S7.2.4 | WAITASEC: The Development of an Application for People' Digital Wellness | |
| Laurano, Christian | PS_IND.22 | IoT Sensor for Measuring Corrosion in Metal Artworks | |
| PS_IND.5 | Cycle Aging Effect on Lithium-Ion Battery Resistance: A Machine Learning Approach | ||
| Lavagetto, Fabio | S3.3.2 | A Multifrequency Inverse-Scattering Technique for Brain Stroke Microwave Diagnostics | |
| Lazzaroni, Massimo | PS_IND.2 | Electrical Vehicle Fleet Management for Industrial Environment With Battery SoH Prediction Through Neural Networks | |
| Le Bars, Solène | S4.4.3 | Low-Contrast SSVEP Stimuli to Improve User Experience of Brain-Computer Interface Involving Virtual Reality | |
| Le Masson, Stephane | PS_IND.4 | Test and Measurement of Lead-Acid and Lithium Battery Packs Performance for Telecom Applications, Case Study: Radio Access Network | |
| Leccardi, Matteo | S1.1.5 | Deep Learning Coronary Artery Centerlines Mapping From Contrast-Enhanced CT Images of the Heart | |
| Leisenberg, Manfred | PS1.7 | The Use of Artificial Intelligence for Sign Language Recognition: From a Literature Overview to the ISENSE Project | |
| Leocani, Letizia | S7.4.4 | Investigation of Neurophysiological Biomarkers Using Dry Electrodes EEG Device in Patients With Neurological Diseases Undergoing Motor Neurorehabilitation: Protocol Trial | |
| Leonardi, Rosario | S5.1.2 | An AR-Based Tool for Acquisition and Automatic Labeling of Human-Object Interactions From First Person Vision | |
| Leonardi, Salvatore | S5.1.4 | A Novel Machine Learning Algorithm for State of Health Prediction of Lithium-Ion Batteries | |
| Li, Guandong | S2.1.4 | Time-Delay Tolerance of Visual and Olfactory Feedback in Multi-Sensory Extended Reality | |
| Li, Jinkai | PS_IND.15 | Defect Modeling During the SLM Process for Manufacturing Microwave Devices | |
| Li, Kymm | S7.2.4 | WAITASEC: The Development of an Application for People' Digital Wellness | |
| Li, Shuai | PS_IND.15 | Defect Modeling During the SLM Process for Manufacturing Microwave Devices | |
| Liguori, Consolatina | PS3.13 | A Survey on Uncertainty Assessment in ANN-Based Measurements | |
| Lindemann, Alessia | S5.3.3 | Heart Rate Variability During a Complex Postural Control Task With the BioVRSea Paradigm | |
| Liprino, Ilaria | PS1.2 | Assessment and Ontological Modeling of Physical and Cognitive Impairments to Foster the Employment of People With Disabilities | |
| Liu, Datong | S5.1.3 | A Multi-Channel Deep-Learning Prediction Algorithm for Battery State-Of-Health Indicator | |
| Liu, Xiaohua | PS3.5 | Advanced Electrical Characterization of Memristive Arrays for Neuromorphic Applications | |
| Lo Regio, Fabrizio | S1.3.1 | Expanding the Frontiers of Wearable Brain-Computer Interfaces Combining Augmented Reality and Visually Evoked Potentials | |
| Losanno, Elena | PS3.4 | Feasibility and Accuracy of a Dry and Wireless EEG Helmet for Upper Limb Motor Imagery-Based Brain-Computer Interfaces | |
| Losi, Gianluca | PS1.12 | Predictive Maintenance of Actuated Quarter-Turn Valves Using Artificial Intelligence | |
| Lotano, Daniel | PS3.9 | U-Net Convolutional Neural Network for Optic Disc Segmentation | |
| Lozito, Gabriele Maria | S2.2.4 | Prognostic Analysis of Switching Devices in DC-DC Converters | |
| Løvåsdal, Frøy | S3.4 - Part I.2 | On the Human Ability in Detecting Digitally Manipulated Face Images | |
| Lu, Yuhao | S2.1.4 | Time-Delay Tolerance of Visual and Olfactory Feedback in Multi-Sensory Extended Reality | |
| Lucadei, Carlo | PS_IND.8 | A Comparison of Time Series Prediction Techniques for the Realization of a Smart Thermostat | |
| Lucchesi, Nicola | PS1.12 | Predictive Maintenance of Actuated Quarter-Turn Valves Using Artificial Intelligence | |
| Luchetta, Antonio | S2.2.4 | Prognostic Analysis of Switching Devices in DC-DC Converters | |
| Luciani, Beatrice | PS2.22 | Parsimonious Technologies for Sensing Upper Limb Muscles Activation | |
| Luo, Tie 'Thomas' | S4.4.4 | A Brain-Computer Interface Augmented Reality Framework With Auto-Adaptive SSVEP Recognition | |
| Luongo, Maria | S7.2.2 | Exploring Motor Patterns in Autism Spectrum Disorder Using Raw Data and Artificial Intelligence: A Pilot Study | |
| M A B C D E F G H I J K L M N O P Q R S T U V W X Y Z | |||
| Machireddy, RamasubbaReddy | S3.1.4 | EEG Based Emotion Classification Using Two Layer Convolutional Neural Network | |
| Maffei, Luigi | PS2.1 | EEG and HRV-Based Assessment of Neurosurgeons Training for Anxiety Regulation and Stress Monitoring | |
| Maffei, Luigi | S6.2.4 | Affective Evaluations of Rooms in Immersive Virtual Reality: The Effect of Naturalistic Elements | |
| Magarini, Maurizio | PS1.1 | Comparison of Data Compression Methods for Implanted Real-Time Peripheral Nervous System | |
| Magliulo, Luciano | PS2.8 | Brain-Computer Interface to Drive Industrial Robots: An Experimental Study in Hybrid Human-Robot Manufacturing | |
| Magliulo, Mario | S8.3.1 | Deploying Unsupervised Learning for Daily Activity Windows Analisys in Cancer Patients | |
| Magrini, Alessandro | PS_IND.13 | Experimental Design and Maintenance, Towards a Decision-Making Approach Driven by Degradation Models, With Application to Lithium-Ion Batteries | |
| Maheswaran, Maurica | S3.3.2 | A Multifrequency Inverse-Scattering Technique for Brain Stroke Microwave Diagnostics | |
| Mahroo, Atieh | S1.1.2 | An Ontology-Based Mixed Reality Application to Support Car Reconfiguration for Drivers With Disabilities | |
| Mainardi, Luca | S1.1.5 | Deep Learning Coronary Artery Centerlines Mapping From Contrast-Enhanced CT Images of the Heart | |
| S8.3.2 | A Novel Classification Model Based on Radiomics for Narrow Band Imaging in Laryngeal Cancer | ||
| Maitz, Florian | S3.1.2 | Towards Neuroadaptive Piano Tutorials | |
| Malavasi, Stefano | PS_IND.17 | Prototype of an Industrial Measurement System for Thermal Conductivity of Scuba Diving Wet Suits | |
| Malcovati, Piero | PS_IND.23 | Characterization of a Linear X-Shaped-Spring Suspension With Nonlinear Damping for Industrial Vibration Control Applications | |
| PS_IND.24 | Nonlinear Dynamics of a Softening-Hardening Oscillator for Energy Harvesting in Industrial Applications | ||
| PS_IND.18 | Vibration Energy Harvesting From Planar Excitations in Industrial Machines | ||
| Maltoni, Davide | S3.4 - Part I.1 | A Framework to Improve the Comparability and Reproducibility of Morphing Attack Detectors | |
| S3.4 - Part I.2 | On the Human Ability in Detecting Digitally Manipulated Face Images | ||
| Mancuso, Laura | S2.3.2 | In the Loop of Safe Driving: An Assessment of HMI Strategies Enabled by Intelligent Driver Monitoring Systems With Daily Drivers | |
| S8.3.3 | Training Intelligent Driver State Monitoring Systems: Design and Validation of an Experimental Procedure in a Driving Simulator Environment | ||
| Manea, Paul-Philipp | S7.1.4 | Analog Feedback-Controlled Memristor Programming Circuit for Analog Content Addressable Memory | |
| Manfredi, Gilda | S1.2.4 | An Educational Approach for Mixed Reality Visualization of Agro-Meteorological Parameters | |
| Mannion, Daniel | S7.1.3 | A SPICE Model for Simulating Current Transients in the Subthreshold Regime of Memristors | |
| Mannocci, Piergiulio | PS3.6 | Closed-Loop In-Memory Computing for Energy-Efficient Matrix Eigendecomposition | |
| Mansour, Salem | S7.4.1 | Improving Common Spatial Patterns in Brain-Computer Interface Using Dynamic Time Warping and EEG Normalization | |
| Manuri, Federico | S1.2.1 | Storytelling in the Metaverse: From Desktop to Immersive Virtual Reality Storyboarding | |
| Manzi, Federico | S8.2.2 | An Anthropomorphic Robot With ChatGPT for Learning Activities: The Teachers' Perspective | |
| Manzotti, Alfonso | S2.4.4 | Merging Contour-And Region-Aware Branches in the UNet Decoder to Enhance Osseous Segmentation in Shoulder CT Scans | |
| Marchetti, Antonella | S8.2.2 | An Anthropomorphic Robot With ChatGPT for Learning Activities: The Teachers' Perspective | |
| Marcolin, Francesco | PS1.8 | Comparing Supervised Machine-Learning Algorithms to Measure the Number of Technical Actions in Industrial Environments | |
| Marcon, Marco | S1.1.5 | Deep Learning Coronary Artery Centerlines Mapping From Contrast-Enhanced CT Images of the Heart | |
| PS2.13 | Depth Map Super-Resolution Fusing Color Information | ||
| Mari, Simone | PS3.14 | Machine Learning for Anomaly Detection in Induction Motors | |
| Marìn-Morales, Javier | S4.3.2 | Exploring the Potential of Eye-Tracking Technology for Emotion Recognition: A Preliminary Investigation | |
| Marinkovic, Zlatica D. | PS_IND.16 | GaN HEMT Modeling Using an Optimization Strategy Based on Gated Recurrent Unit Networks | |
| PS_IND.14 | Artificial Neural Network Modeling of Microwave Sensors for Dielectric Liquids Characterization | ||
| PS_IND.15 | Defect Modeling During the SLM Process for Manufacturing Microwave Devices | ||
| Marino, Luca | S8.3.3 | Training Intelligent Driver State Monitoring Systems: Design and Validation of an Experimental Procedure in a Driving Simulator Environment | |
| Marocco, Davide | S7.2.2 | Exploring Motor Patterns in Autism Spectrum Disorder Using Raw Data and Artificial Intelligence: A Pilot Study | |
| S7.2.3 | Autoencoders as a Tool to Detect Nonlinear Relationships in Latent Variables Models | ||
| S8.2.5 | Mitigating the Negative Effect of Telepresence Robots via an Empathy-Eliciting Robot Moderator | ||
| Marrone, Raffaele | S6.1.2 | The Wild Boar as an Ecosystem Service: Moving Steps Towards Biodiversity Engineering | |
| Marsilio, Luca | S2.4.4 | Merging Contour-And Region-Aware Branches in the UNet Decoder to Enhance Osseous Segmentation in Shoulder CT Scans | |
| Martín-Pérez, Alberto | S2.4.2 | Sparse to Dense Ground Truth Pre-Processing in Hyperspectral Imaging for In-Vivo Brain Tumour Detection | |
| Martinez de Ternero, Alejandro | S2.4.2 | Sparse to Dense Ground Truth Pre-Processing in Hyperspectral Imaging for In-Vivo Brain Tumour Detection | |
| Martinez Palomares, Angel | S2.2.5 | Enhancing Museum Security With Advanced Scene-Based Action Recognition Techniques | |
| Martiri, Luca | PS_IND.1 | Improving Remaining Useful Life Estimation of Lithium-Ion Batteries When Nearing End of Life | |
| Martis, Roshan | S5.3.5 | VGG16 Architecture Based Atrial Fibrillation Detection Using ECG | |
| Marzorati, Davide | S2.4.4 | Merging Contour-And Region-Aware Branches in the UNet Decoder to Enhance Osseous Segmentation in Shoulder CT Scans | |
| Marzullo, Marialuisa | S8.1.5 | The Impact of the Metaverse on Health Professionals' Empathy | |
| Masciullo, Antonio | PS2.12 | Entropy-Based EEG Measures for Revealing Altered Neural Dynamics in Alzheimer's Disease: A Preliminary Study | |
| Massaro, Davide | S8.2.2 | An Anthropomorphic Robot With ChatGPT for Learning Activities: The Teachers' Perspective | |
| Mastrati, Giovanna | S3.1.3 | Toward an EEG-Based System for Monitoring Cognitive Load in Neurosurgeons | |
| PS2.1 | EEG and HRV-Based Assessment of Neurosurgeons Training for Anxiety Regulation and Stress Monitoring | ||
| Masullo, Massimiliano | S6.2.4 | Affective Evaluations of Rooms in Immersive Virtual Reality: The Effect of Naturalistic Elements | |
| Mata, Núria | S2.3.1 | Toward Safe Human Machine Interface and Computer-Aided Diagnostic Systems | |
| Matera, Roberta | S6.1.1 | Sustainable Measures for Assessing the Impact of Climate Effects on Livestock Biological Variability | |
| Matour, Mohammad-Ehsan | S2.3.4 | Towards Intuitive Extended Reality-Based Robot Control and Path Planning: Comparison of Augmented Reality and Mixed Reality-Based Approaches | |
| Mauro, Francesco | PS3.1 | Estimation of Ground NO2 Measurements From Sentinel-5P Tropospheric Data Through Categorical Boosting | |
| Mazzoni, Elvis | S7.2.4 | WAITASEC: The Development of an Application for People' Digital Wellness | |
| McCreadie, Karl | S7.4.3 | Decoding Motion Trajectories in an Online Upper Limb BCI: Linear Regression Vs Deep Learning | |
| McPherson, Laura | S5.2.1 | High-Density Surface Electromyography Allows for Longitudinal Assessment of the Neural Drive to Muscle in Individuals With Acute Stroke | |
| McShane, Niall | S7.4.3 | Decoding Motion Trajectories in an Online Upper Limb BCI: Linear Regression Vs Deep Learning | |
| Meccariello, Giovanni | PS_IND.13 | Experimental Design and Maintenance, Towards a Decision-Making Approach Driven by Degradation Models, With Application to Lithium-Ion Batteries | |
| Mecella, Massimo | PS_IND.19 | The MICS Project: A Data Science Pipeline for Industry 4.0 Applications | |
| Mecocci, Alessandro | S2.2.2 | Enhancing Fluorescence Image Analysis Through Deep Learning | |
| S2.2.5 | Enhancing Museum Security With Advanced Scene-Based Action Recognition Techniques | ||
| Mehonic, Adnan | S7.1.3 | A SPICE Model for Simulating Current Transients in the Subthreshold Regime of Memristors | |
| Meldolesi, Giulio | S6.3.5 | Proposing a Natural Language Processing Approach to Detect Personal Meaning Organizations Linguistic Patterns | |
| Mele, Cristina | S8.1.4 | Dealing With Learning Vulnerability: Service Robots to Nudge Student Engagement | |
| Melis, Alessia | PS1.7 | The Use of Artificial Intelligence for Sign Language Recognition: From a Literature Overview to the ISENSE Project | |
| Melloni, Daniele | PS1.8 | Comparing Supervised Machine-Learning Algorithms to Measure the Number of Technical Actions in Industrial Environments | |
| Menegaz, Gloria | S2.4.1 | Objective Assessment of the Bias Introduced by Baseline Signals in XAI Attribution Methods | |
| Menicucci, Danilo | S6.3.2 | Development of a Behavioral Avoidance Test in Virtual Reality (VR-BAT) | |
| Menozzi, Roberto | PS_IND.2 | Electrical Vehicle Fleet Management for Industrial Environment With Battery SoH Prediction Through Neural Networks | |
| Mercaldo, Francesco | S3.2.5 | Explainable Deep Learning for Brain Cancer Detection and Localisation | |
| PS2.7 | A Machine Learning Approach to Classify Ventilatory Efficiency | ||
| Merino Goyenechea, Luis | S6.1.2 | The Wild Boar as an Ecosystem Service: Moving Steps Towards Biodiversity Engineering | |
| Messaris, Ioannis | S7.1.2 | Local Fading Memory Effects in a Tantalum Oxide ReRAM Cell From Hewlett Packard Labs | |
| PS3.8 | Analytical Derivation of Sharp-Edge-Of-Chaos Domain in a One-Dimensional Memristor Array | ||
| Micera, Silvestro | S5.2.3 | Feasibility of a Portable, Wearable, High-Density Surface EMG Device for Detecting Functional Hand-Object Interactions | |
| S7.4.2 | EEG-Based Self-Paced Decoding of Upper Limb Movement Intention in Healthy Subjects | ||
| PS3.4 | Feasibility and Accuracy of a Dry and Wireless EEG Helmet for Upper Limb Motor Imagery-Based Brain-Computer Interfaces | ||
| Micucci, Daniela | PS1.15 | Emotion Personalization With Machine Learning Using EEG Signals and Dry Electrodes | |
| Milano, Gianluca | S7.1.5 | Mackey-Glass Time Series Forecasting by Nanowire Networks | |
| Milano, Nicola | S7.2.3 | Autoencoders as a Tool to Detect Nonlinear Relationships in Latent Variables Models | |
| Mileti, Ilaria | PS1.10 | Comparison of Two Video-Based Methods for Knee Joint Angle Measurement: A Preliminary Study | |
| Minissi, Maria Eleonora | S4.3.2 | Exploring the Potential of Eye-Tracking Technology for Emotion Recognition: A Preliminary Investigation | |
| Minutolo, Vincenzo | PS2.3 | Development of Synthetic 3D Printed Knee Joint to Assess Mechanical and Functional Properties of Degenerative Cartilage | |
| Moccaldi, Nicola | S3.1.3 | Toward an EEG-Based System for Monitoring Cognitive Load in Neurosurgeons | |
| PS2.1 | EEG and HRV-Based Assessment of Neurosurgeons Training for Anxiety Regulation and Stress Monitoring | ||
| PS2.2 | Synchronisation Issues in Wireless EEG Systems for P300 Amplitude Measurement: Ab Medica Helmate Case Study | ||
| Mocenni, Chiara | PS1.11 | WeAIR: Wearable Swarm Sensors for Air Quality Monitoring to Foster Citizens' Awareness of Climate Change | |
| Moctezuma, Luis | S3.1.1 | Emotions of Dreams Identified Without Awakenings by Machine and Deep Learning From EEG Signals in REM Sleep | |
| Modoni, Gianfranco | S5.1.1 | Towards Human-Centricity Within a Sofa Factory Assembly Line: A Real-Time Location System | |
| Mohamed, Mohamed | S7.4.1 | Improving Common Spatial Patterns in Brain-Computer Interface Using Dynamic Time Warping and EEG Normalization | |
| Molani, Alessandro | S4.2.1 | Properties and Perspectives of Digital Holographic Microscopy for Bioaerosol Detection | |
| Molinas, Marta | S3.1.1 | Emotions of Dreams Identified Without Awakenings by Machine and Deep Learning From EEG Signals in REM Sleep | |
| Mollura, Maximiliano | S2.1.3 | Exploring Emotional Responses in Virtual Reality Through Skin Conductance Signal | |
| Monteriù, Andrea | PS2.16 | An Assistive Robot in an Indoor Scenario: The Stretch Hello Robot as Environment Organizer | |
| S4.4.2 | Mental Fatigue Evaluation for Passive and Active Brain-Computer-interface(BCI) for Wheelchair-Robot During Human-In-The-Loop Control | ||
| Mora, Pau | PS2.18 | Virtual Experience Toolkit: Enhancing 3D Scene Virtualization From Real Environments Through Computer Vision and Deep Learning Techniques | |
| Morciano, Gianluca | S2.1.5 | Prediction of Football Players' Performance Indicators via Random Forest Algorithm | |
| Morère, Yann | S4.1.2 | Objective Assessment of Tremor in Parkinson's Disease Using the RehaBEElitation Serious Game | |
| Moretti, Riccardo | PS_IND.9 | Bearing Failure Classification With Low Complexity Neural Network | |
| Motto Ros, Paolo | PS1.1 | Comparison of Data Compression Methods for Implanted Real-Time Peripheral Nervous System | |
| Mughal, Iqra | PS2.5 | Blood Glucose Regulation in Type 1 Diabetes Through Optimized Nonlinear Control Strategies | |
| Mugnaini, Marco | PS_IND.9 | Bearing Failure Classification With Low Complexity Neural Network | |
| PS_IND.10 | Machine Learning Regressor for Impedance Parameter Estimation of QCM Sensors for Liquid Media Characterization | ||
| Murtinger, Markus | S2.1.1 | xHits: An Automatic Team Performance Metric for VR Police Training | |
| PS2.17 | Tangible Tactical Belt: Haptic Realism for Virtual Reality Police Training | ||
| Mustafa, Yasmine | S4.4.4 | A Brain-Computer Interface Augmented Reality Framework With Auto-Adaptive SSVEP Recognition | |
| Musumeci, Rosaria | PS_IND.12 | Calibration of a Clustering Algorithm to Improve the Nearshore Wave Prediction System | |
| N A B C D E F G H I J K L M N O P Q R S T U V W X Y Z | |||
| Nalin, Marco | S1.3.2 | A Novel Ecological EEG Protocol to Assess Cognitive Load During Balance Task in Rehabilitation Settings | |
| PS1.15 | Emotion Personalization With Machine Learning Using EEG Signals and Dry Electrodes | ||
| S3.1.3 | Toward an EEG-Based System for Monitoring Cognitive Load in Neurosurgeons | ||
| PS2.1 | EEG and HRV-Based Assessment of Neurosurgeons Training for Anxiety Regulation and Stress Monitoring | ||
| PS2.2 | Synchronisation Issues in Wireless EEG Systems for P300 Amplitude Measurement: Ab Medica Helmate Case Study | ||
| S7.4.4 | Investigation of Neurophysiological Biomarkers Using Dry Electrodes EEG Device in Patients With Neurological Diseases Undergoing Motor Neurorehabilitation: Protocol Trial | ||
| PS3.4 | Feasibility and Accuracy of a Dry and Wireless EEG Helmet for Upper Limb Motor Imagery-Based Brain-Computer Interfaces | ||
| Napoletano, Paolo | PS1.15 | Emotion Personalization With Machine Learning Using EEG Signals and Dry Electrodes | |
| Napolitano, Giulia | S8.1.1 | AI Adoption to Innovate Accounting Practice: Ethical Implications | |
| Natalizio, Angela | PS3.3 | Sinc-EEGNet for Improving Performance While Reducing Calibration of a Motor Imagery-Based BCI | |
| Nchekwube, David | PS2.16 | An Assistive Robot in an Indoor Scenario: The Stretch Hello Robot as Environment Organizer | |
| Negro, Francesco | S5.2.1 | High-Density Surface Electromyography Allows for Longitudinal Assessment of the Neural Drive to Muscle in Individuals With Acute Stroke | |
| Ng, Wing | S7.1.3 | A SPICE Model for Simulating Current Transients in the Subthreshold Regime of Memristors | |
| Nguyen, Quynh | S2.1.1 | xHits: An Automatic Team Performance Metric for VR Police Training | |
| PS2.17 | Tangible Tactical Belt: Haptic Realism for Virtual Reality Police Training | ||
| Nielen, Lutz | PS3.5 | Advanced Electrical Characterization of Memristive Arrays for Neuromorphic Applications | |
| Nikiforova, Nedka | PS_IND.13 | Experimental Design and Maintenance, Towards a Decision-Making Approach Driven by Degradation Models, With Application to Lithium-Ion Batteries | |
| Ning, Zhansheng | PS_IND.3 | Transformer Neural Network for Early Battery Capacity Prediction Based on Electrochemical Impedance Spectroscopy | |
| Nocera, Alessio | S1.1.1 | Proof of Concept of Using HoloLens 2 for AR Immersive Training in Complex Medical Scenarios | |
| PS1.4 | Docking of the Da Vinci Surgical Robot Using Mixed Reality | ||
| Nolfi, Stefano | S8.2.3 | Skeleton Timed Up and Go on MARIO Robot | |
| Norgia, Michele | S4.2.3 | TinyML Anomaly Detection in Portable Cutting Tools | |
| Novak, Matthew | S1.2.3 | A Novel Methodology for the Optimisation of Photogrammetry Data of Physical Objects for Use in Metaverse Virtual Environments | |
| Nunziata, Scila | S6.2.2 | Virtual Agents and Proxemic Distances: How Social Interactions Affect Our Spatial Representations | |
| Nunziati, Giacomo | S2.2.5 | Enhancing Museum Security With Advanced Scene-Based Action Recognition Techniques | |
| O A B C D E F G H I J K L M N O P Q R S T U V W X Y Z | |||
| Obeid, Hussein | PS_IND.4 | Test and Measurement of Lead-Acid and Lithium Battery Packs Performance for Telecom Applications, Case Study: Radio Access Network | |
| Omer, Karameldeen | S4.4.2 | Mental Fatigue Evaluation for Passive and Active Brain-Computer-interface(BCI) for Wheelchair-Robot During Human-In-The-Loop Control | |
| Onyeoru, Happy | PS2.19 | Analysing and Modelling Human Trust to a Navigation Robot | |
| op den Akker, Harm | S6.1.3 | Enhancing Urban Environmental Sustainability Through Unified Stakeholders Needs Co-Creation Process (ΑΕΝΕΑ) | |
| Orizio, Claudio | S5.2.1 | High-Density Surface Electromyography Allows for Longitudinal Assessment of the Neural Drive to Muscle in Individuals With Acute Stroke | |
| Ortega, Mario | PS2.18 | Virtual Experience Toolkit: Enhancing 3D Scene Virtualization From Real Environments Through Computer Vision and Deep Learning Techniques | |
| Orti, Renato | S6.2.2 | Virtual Agents and Proxemic Distances: How Social Interactions Affect Our Spatial Representations | |
| Ortolani, Nicola | PS1.3 | A Scalable VR-Based System to Assess Driving-Related Abilities in People With Disability | |
| P A B C D E F G H I J K L M N O P Q R S T U V W X Y Z | |||
| Paglialonga, Alessia | S2.1.3 | Exploring Emotional Responses in Virtual Reality Through Skin Conductance Signal | |
| Pagliuca, Paolo | S8.2.3 | Skeleton Timed Up and Go on MARIO Robot | |
| Pal, Anibrata | S6.3.3 | Artificial Intelligence for Automotive Security: How to Support Developers in Automotive Solutions | |
| S6.3.4 | Automotive Knowledge Base for Supporting Vehicle-SOC Analysts | ||
| Palesano, Davide | PS2.13 | Depth Map Super-Resolution Fusing Color Information | |
| Pálhalmi, János | S4.2.1 | Properties and Perspectives of Digital Holographic Microscopy for Bioaerosol Detection | |
| Palmeri, Roberta | S3.3.3 | A Machine Learning Approach to Microwave Sensing for Non-Invasive Alzheimer's Disease Detection | |
| Panachakel, Jerrin | S2.4.5 | CSP-LSTM Based Emotion Recognition From EEG Signals | |
| S4.1.3 | Ethical Challenges of Using Artificial Intelligence in Judiciary | ||
| Panes-Ruiz, Luis | S7.1.6 | Rapid Detection of SARS-CoV-2 Antigen Utilizing Machine Learning-Enabled Graphene-Based Smart Gas Sensors | |
| Panzardi, Enza | PS_IND.10 | Machine Learning Regressor for Impedance Parameter Estimation of QCM Sensors for Liquid Media Characterization | |
| Paolucci, Libero | PS1.12 | Predictive Maintenance of Actuated Quarter-Turn Valves Using Artificial Intelligence | |
| S2.2.4 | Prognostic Analysis of Switching Devices in DC-DC Converters | ||
| Paracchini, Marco | S1.1.5 | Deep Learning Coronary Artery Centerlines Mapping From Contrast-Enhanced CT Images of the Heart | |
| PS2.13 | Depth Map Super-Resolution Fusing Color Information | ||
| Parola, Anna | S6.2.5 | Enhancing Career-Related Teacher Support Through Technologies: The NEFELE Training Model | |
| Parra Villamar, Oswaldo | S1.3.5 | Design and Evaluation of a Wearable Single-Lead ECG for Continuous Monitoring | |
| Parri, Lorenzo | PS1.11 | WeAIR: Wearable Swarm Sensors for Air Quality Monitoring to Foster Citizens' Awareness of Climate Change | |
| Parvis, Marco | PS3.3 | Sinc-EEGNet for Improving Performance While Reducing Calibration of a Motor Imagery-Based BCI | |
| Pastorino, Matteo | S3.3.2 | A Multifrequency Inverse-Scattering Technique for Brain Stroke Microwave Diagnostics | |
| Patanè, Fabrizio | PS1.10 | Comparison of Two Video-Based Methods for Knee Joint Angle Measurement: A Preliminary Study | |
| Patanè, Luca | PS_IND.12 | Calibration of a Clustering Algorithm to Improve the Nearshore Wave Prediction System | |
| PS_IND.11 | Estimating Finite-Time Delay in Dynamical Soft Sensors for Industrial Processes: Robustness to Noise | ||
| PS2.5 | Blood Glucose Regulation in Type 1 Diabetes Through Optimized Nonlinear Control Strategies | ||
| S5.1.5 | Model-Agnostic Methods for Soft Sensor Interpretability | ||
| Patrizi, Gabriele | PS_IND.13 | Experimental Design and Maintenance, Towards a Decision-Making Approach Driven by Degradation Models, With Application to Lithium-Ion Batteries | |
| S5.1.3 | A Multi-Channel Deep-Learning Prediction Algorithm for Battery State-Of-Health Indicator | ||
| Pau, Danilo | PS_IND.7 | TinyRCE: Forward Learning Under Tiny Constraints | |
| S4.1.1 | Electromyography Gestures Sensing With Deeply Quantized Neural Networks | ||
| Pavan, Giacomo | S3.2.1 | Advanced 3D Printing of Patient-Specific Human Heart for Improved Surgical Planning | |
| Pawar, Kumar Sunilkumar | PS_IND.22 | IoT Sensor for Measuring Corrosion in Metal Artworks | |
| Pecher, Alexandra | PS1.7 | The Use of Artificial Intelligence for Sign Language Recognition: From a Literature Overview to the ISENSE Project | |
| Pedrocchi, Alessandra | S5.2.4 | An EMG-Triggered Cooperative Controller for a Hybrid FES-Robotic System | |
| PS3.3 | Sinc-EEGNet for Improving Performance While Reducing Calibration of a Motor Imagery-Based BCI | ||
| Pennati, Francesca | S4.2.1 | Properties and Perspectives of Digital Holographic Microscopy for Bioaerosol Detection | |
| Perdikis, Serafeim | S1.1.3 | Towards Calibration-Less BCI-Based Rehabilitation | |
| Perez-Nuñez, Angel | S2.4.2 | Sparse to Dense Ground Truth Pre-Processing in Hyperspectral Imaging for In-Vivo Brain Tumour Detection | |
| Perin, Alessandro | S3.1.3 | Toward an EEG-Based System for Monitoring Cognitive Load in Neurosurgeons | |
| PS2.1 | EEG and HRV-Based Assessment of Neurosurgeons Training for Anxiety Regulation and Stress Monitoring | ||
| Pero, Chiara | PS2.15 | Integrating Gaze Tracking With Augmented Reality on Mobile Devices: A Framework for Enhanced User Interaction | |
| Pesola, Marisa | S2.4.3 | Assessing the Features on Blood Glucose Level Prediction in Type 1 Diabetes Patients Through Explainable Artificial Intelligence | |
| PS2.12 | Entropy-Based EEG Measures for Revealing Altered Neural Dynamics in Alzheimer's Disease: A Preliminary Study | ||
| Petersen, Hannes | S5.3.3 | Heart Rate Variability During a Complex Postural Control Task With the BioVRSea Paradigm | |
| Phua, Koksoon | S7.4.1 | Improving Common Spatial Patterns in Brain-Computer Interface Using Dynamic Time Warping and EEG Normalization | |
| Picardi, Angelo | S6.3.5 | Proposing a Natural Language Processing Approach to Detect Personal Meaning Organizations Linguistic Patterns | |
| Picciafuoco, Mauro | S3.1.3 | Toward an EEG-Based System for Monitoring Cognitive Load in Neurosurgeons | |
| PS2.1 | EEG and HRV-Based Assessment of Neurosurgeons Training for Anxiety Regulation and Stress Monitoring | ||
| PS2.2 | Synchronisation Issues in Wireless EEG Systems for P300 Amplitude Measurement: Ab Medica Helmate Case Study | ||
| Piccinno, Antonio | PS3.2 | Serious Games for Cybersecurity: How to Improve Perception and Human Factors | |
| Picillo, Marina | S5.3.1 | Using Wearable Sensors and Motion Parameters for Recognizing Progressive Supranuclerar Palsy Phenotypes | |
| Piegari, Luigi | PS_IND.5 | Cycle Aging Effect on Lithium-Ion Battery Resistance: A Machine Learning Approach | |
| Pierelli, Ludovica | PS1.14 | Automatic Liver Vessels Segmentation Using ResDense UNet and an Appropriate Preprocessing Pipeline | |
| Pierucci, Simona | S5.3.3 | Heart Rate Variability During a Complex Postural Control Task With the BioVRSea Paradigm | |
| Pietrosanto, Antonio | PS3.13 | A Survey on Uncertainty Assessment in ANN-Based Measurements | |
| Pievatolo, Antonio | PS_IND.13 | Experimental Design and Maintenance, Towards a Decision-Making Approach Driven by Degradation Models, With Application to Lithium-Ion Batteries | |
| Pilato, Giovanni | S8.2.4 | Using Social Scripts in Human-Robot Interaction | |
| Pinzi, Sara | PS1.5 | Training Program on Sign Language: Social Inclusion Through Virtual Reality in ISENSE Project | |
| S2.1.2 | A VR Serious Game to Increase Empathy Towards Students With Phonological Dyslexia | ||
| Pisani, Andrea | PS_IND.7 | TinyRCE: Forward Learning Under Tiny Constraints | |
| Pisani, Noemi | S5.3.1 | Using Wearable Sensors and Motion Parameters for Recognizing Progressive Supranuclerar Palsy Phenotypes | |
| Pisco, Marco | PS2.4 | Raman Spectroscopy of Cells for Cancer Classification Through Machine Learning | |
| Piscopo, Nadia | S6.1.1 | Sustainable Measures for Assessing the Impact of Climate Effects on Livestock Biological Variability | |
| S6.1.2 | The Wild Boar as an Ecosystem Service: Moving Steps Towards Biodiversity Engineering | ||
| Pniov, Alexey | PS_IND.26 | Uncertainty Evaluation in Knife-Edge Laser Spot-Size Measurements for Industrial Applications | |
| PS_IND.25 | Optical Fiber Sensor for Real-Time Monitoring of Industrial Structures and Application to Urban Telecommunication Networks | ||
| Polastri, Andrea | PS_IND.20 | Control and Thermal Design of a Bi-Directional Grid Interface Converter for Fast-Recharging Stations Developed in the Framework of the Italian PNRR Research Activities | |
| Pollastro, Andrea | PS3.3 | Sinc-EEGNet for Improving Performance While Reducing Calibration of a Motor Imagery-Based BCI | |
| Polo, Edoardo Maria | S2.1.3 | Exploring Emotional Responses in Virtual Reality Through Skin Conductance Signal | |
| Ponsiglione, Alfonso | S3.2.4 | 3D Dental Reconstruction With Photogrammetry Technology | |
| S5.3.3 | Heart Rate Variability During a Complex Postural Control Task With the BioVRSea Paradigm | ||
| Ponticorvo, Michela | S6.2.3 | "Escape With Pulcinella": Development of a Gamified Environment and Pilot Study on Escape Rooms for Language Learning and Cultural Knowledge Acquisition | |
| S7.2.1 | "Safer": Design and Development of a Supportive Assistant for Emotion Regulation | ||
| S7.2.5 | Putting the Pieces Together: Exploring the Dimensionality of Enhanced Baking Tray Task Indexes in School-Aged Children | ||
| S7.2.2 | Exploring Motor Patterns in Autism Spectrum Disorder Using Raw Data and Artificial Intelligence: A Pilot Study | ||
| Porssut, Thibault | S4.4.3 | Low-Contrast SSVEP Stimuli to Improve User Experience of Brain-Computer Interface Involving Virtual Reality | |
| Pozzebon, Alessandro | PS1.11 | WeAIR: Wearable Swarm Sensors for Air Quality Monitoring to Foster Citizens' Awareness of Climate Change | |
| Presta, Roberta | S2.3.2 | In the Loop of Safe Driving: An Assessment of HMI Strategies Enabled by Intelligent Driver Monitoring Systems With Daily Drivers | |
| S8.3.3 | Training Intelligent Driver State Monitoring Systems: Design and Validation of an Experimental Procedure in a Driving Simulator Environment | ||
| Prete, Alessia | S2.2.1 | Deep Learning Techniques for Text Generation to Support Augmentative and Alternative Communication | |
| Pretolesi, Daniele | S2.3.3 | Human in the Loop for XR Training: Theory, Practice and Recommendations for Effective and Safe Training Environments | |
| S4.3.4 | Ethical Considerations for AI-Driven Adaptive Virtual Environments in VR Training for First Responders: An Industry Perspective | ||
| Prevete, Roberto | PS2.11 | Toward the Improvement of Probabilistic Classifiers Using Ontologies | |
| Primi, Riccardo | S6.1.2 | The Wild Boar as an Ecosystem Service: Moving Steps Towards Biodiversity Engineering | |
| Prisco, Giuseppe | PS2.7 | A Machine Learning Approach to Classify Ventilatory Efficiency | |
| S5.3.2 | Feasibility of Tree-Based Machine Learning Models to Discriminate Safe and Unsafe Posture During Weight Lifting | ||
| Proietti, Tommaso | S5.2.3 | Feasibility of a Portable, Wearable, High-Density Surface EMG Device for Detecting Functional Hand-Object Interactions | |
| Pugliese, Giacomo | PS1.14 | Automatic Liver Vessels Segmentation Using ResDense UNet and an Appropriate Preprocessing Pipeline | |
| Puglisi, Valerio | S3.4 - Part I.3 | Deep Audio Analyzer: A Framework to Industrialize the Research on Audio Forensics | |
| Pulcini, Valerio | S5.1.1 | Towards Human-Centricity Within a Sofa Factory Assembly Line: A Real-Time Location System | |
| Puttilli, Cosimo | S1.3.2 | A Novel Ecological EEG Protocol to Assess Cognitive Load During Balance Task in Rehabilitation Settings | |
| PS2.1 | EEG and HRV-Based Assessment of Neurosurgeons Training for Anxiety Regulation and Stress Monitoring | ||
| PS3.4 | Feasibility and Accuracy of a Dry and Wireless EEG Helmet for Upper Limb Motor Imagery-Based Brain-Computer Interfaces | ||
| Q A B C D E F G H I J K L M N O P Q R S T U V W X Y Z | |||
| Qoku, Arber | S3.2.2 | Deep Learning Model for Video-Classification of Echocardiography Images | |
| R A B C D E F G H I J K L M N O P Q R S T U V W X Y Z | |||
| Radhakrishnan, Aswani | S4.1.4 | Aging Aware Retraining With a Sparse Update for Neuromorphic Computing | |
| Raffo, Antonio | PS_IND.16 | GaN HEMT Modeling Using an Optimization Strategy Based on Gated Recurrent Unit Networks | |
| Raggioli, Luca | S8.2.2 | An Anthropomorphic Robot With ChatGPT for Learning Activities: The Teachers' Perspective | |
| Ragolia, Mattia Alessandro | PS3.10 | The SNOWED Dataset and Its Application to Po River Monitoring Through Satellite Images | |
| Ragusa, Francesco | S5.1.2 | An AR-Based Tool for Acquisition and Automatic Labeling of Human-Object Interactions From First Person Vision | |
| Ramos, Pedro | PS2.1 | EEG and HRV-Based Assessment of Neurosurgeons Training for Anxiety Regulation and Stress Monitoring | |
| Rampoldi, Stefano | PS_IND.20 | Control and Thermal Design of a Bi-Directional Grid Interface Converter for Fast-Recharging Stations Developed in the Framework of the Italian PNRR Research Activities | |
| Randazzo, Andrea | S3.3.2 | A Multifrequency Inverse-Scattering Technique for Brain Stroke Microwave Diagnostics | |
| Randriatsimiovalaza, Marc Dimbiniaina | S4.1.1 | Electromyography Gestures Sensing With Deeply Quantized Neural Networks | |
| Ranieri, Angelo | S8.1.4 | Dealing With Learning Vulnerability: Service Robots to Nudge Student Engagement | |
| Rao S K, Shrikanth | S5.3.5 | VGG16 Architecture Based Atrial Fibrillation Detection Using ECG | |
| Rapuano, Mariachiara | S6.2.4 | Affective Evaluations of Rooms in Immersive Virtual Reality: The Effect of Naturalistic Elements | |
| Recenti, Marco | S5.3.3 | Heart Rate Variability During a Complex Postural Control Task With the BioVRSea Paradigm | |
| Redel-Macías, María Dolores | PS1.7 | The Use of Artificial Intelligence for Sign Language Recognition: From a Literature Overview to the ISENSE Project | |
| PS1.5 | Training Program on Sign Language: Social Inclusion Through Virtual Reality in ISENSE Project | ||
| Regal, Georg | PS2.17 | Tangible Tactical Belt: Haptic Realism for Virtual Reality Police Training | |
| Reichert, Christoph | S1.1.3 | Towards Calibration-Less BCI-Based Rehabilitation | |
| Rekrut, Maurice | S2.3.5 | Comparing the Effects of Dry, Water and Gel-Based Electrodes on EEG-Based Overt Speech Classification | |
| Ribeiro Skreinig, Lucchas | S3.1.2 | Towards Neuroadaptive Piano Tutorials | |
| Ricci, Marco | S3.3.3 | A Machine Learning Approach to Microwave Sensing for Non-Invasive Alzheimer's Disease Detection | |
| Ricciardi, Carlo | S3.2.1 | Advanced 3D Printing of Patient-Specific Human Heart for Improved Surgical Planning | |
| S5.3.3 | Heart Rate Variability During a Complex Postural Control Task With the BioVRSea Paradigm | ||
| S5.3.4 | A Cluster Analysis for Parkinson's Disease Phenotyping With Gait Parameters | ||
| S5.3.1 | Using Wearable Sensors and Motion Parameters for Recognizing Progressive Supranuclerar Palsy Phenotypes | ||
| Ricciardi, Carlo | S7.1.5 | Mackey-Glass Time Series Forecasting by Nanowire Networks | |
| Rietveld, Gert | PS_IND.3 | Transformer Neural Network for Early Battery Capacity Prediction Based on Electrochemical Impedance Spectroscopy | |
| Rinaldesi, Paolo | PS3.11 | Machine Learning-Based Classification of the Traffic of Digital Marketing Campaigns | |
| Rizzi, Gianluca | S8.3.4 | A Modern Approach to Dimensional Inspection by Implementing Annotated 3D Cad Model in a Digital Manufacturing Environment | |
| Robbio, Rachele | PS2.1 | EEG and HRV-Based Assessment of Neurosurgeons Training for Anxiety Regulation and Stress Monitoring | |
| Rocco, Paolo | PS_IND.21 | Digital Technologies for the Design of Human-Robot Collaborative Cells | |
| Rodriguez-Duarte, David | S3.3.3 | A Machine Learning Approach to Microwave Sensing for Non-Invasive Alzheimer's Disease Detection | |
| Romano, Gemma | S3.2.3 | Optimization of 3D Fused Deposition Modeling Printing Process for the Manufacturing of Devices for Medical Use | |
| Romano, Maria | S3.2.4 | 3D Dental Reconstruction With Photogrammetry Technology | |
| S5.3.2 | Feasibility of Tree-Based Machine Learning Models to Discriminate Safe and Unsafe Posture During Weight Lifting | ||
| S5.3.4 | A Cluster Analysis for Parkinson's Disease Phenotyping With Gait Parameters | ||
| Ronchetti, Francesca | S8.3.2 | A Novel Classification Model Based on Radiomics for Narrow Band Imaging in Laryngeal Cancer | |
| Rosa, Gonzalo | S2.4.2 | Sparse to Dense Ground Truth Pre-Processing in Hyperspectral Imaging for In-Vivo Brain Tumour Detection | |
| Rossi, Matteo | S2.4.4 | Merging Contour-And Region-Aware Branches in the UNet Decoder to Enhance Osseous Segmentation in Shoulder CT Scans | |
| Rossi, Mattia | PS_IND.20 | Control and Thermal Design of a Bi-Directional Grid Interface Converter for Fast-Recharging Stations Developed in the Framework of the Italian PNRR Research Activities | |
| Rossi, Simone | S4.3.1 | The EXPERIENCE Project: Unveiling 'Extended-Personal Reality' Through Automated VR Environments and Explainable Artificial Intelligence | |
| Rossi, Stefano | PS1.5 | Training Program on Sign Language: Social Inclusion Through Virtual Reality in ISENSE Project | |
| PS1.7 | The Use of Artificial Intelligence for Sign Language Recognition: From a Literature Overview to the ISENSE Project | ||
| PS1.8 | Comparing Supervised Machine-Learning Algorithms to Measure the Number of Technical Actions in Industrial Environments | ||
| PS1.10 | Comparison of Two Video-Based Methods for Knee Joint Angle Measurement: A Preliminary Study | ||
| Rossi, Veronica Lucia | S2.2.2 | Enhancing Fluorescence Image Analysis Through Deep Learning | |
| Rossini, Gisella | S8.2.2 | An Anthropomorphic Robot With ChatGPT for Learning Activities: The Teachers' Perspective | |
| Rossini, Nicolò | S3.4 - Part I.4 | Evaluating Deep Neural Networks for Face Recognition With Different Subsets of Mugshots From the Photo-Signaling Procedure | |
| Rouze, Sébastien | S4.4.3 | Low-Contrast SSVEP Stimuli to Improve User Experience of Brain-Computer Interface Involving Virtual Reality | |
| Ruggiero, Gennaro | S6.2.2 | Virtual Agents and Proxemic Distances: How Social Interactions Affect Our Spatial Representations | |
| S6.2.4 | Affective Evaluations of Rooms in Immersive Virtual Reality: The Effect of Naturalistic Elements | ||
| Ruotolo, Francesco | S6.2.4 | Affective Evaluations of Rooms in Immersive Virtual Reality: The Effect of Naturalistic Elements | |
| Russo, Luiginew | PS3.1 | Estimation of Ground NO2 Measurements From Sentinel-5P Tropospheric Data Through Categorical Boosting | |
| Russo, Marta | S5.2.2 | Upper Limb Phasic Muscle Synergies With Negative Weightings: Applications for Rehabilitation | |
| Russo, Michela | S5.3.4 | A Cluster Analysis for Parkinson's Disease Phenotyping With Gait Parameters | |
| Russo, Stefano Paolo | S8.1.5 | The Impact of the Metaverse on Health Professionals' Empathy | |
| Russo Spena, Tiziana | S8.1.4 | Dealing With Learning Vulnerability: Service Robots to Nudge Student Engagement | |
| S A B C D E F G H I J K L M N O P Q R S T U V W X Y Z | |||
| S, Thiruselvam | S3.1.4 | EEG Based Emotion Classification Using Two Layer Convolutional Neural Network | |
| S. Refaat, Shady | S4.2.4 | Static Eccentricity Fault Analysis in Three-Phase Induction Motors Using Current Signal | |
| Sabatini, Roberto | PS2.14 | Exploring Canopy Temperature and Height Dynamics in Forest Ecosystems | |
| S6.1.5 | Comparison of 1D and 3D Convolutional Neural Networks for Wildfire Detection Using PRISMA Hyperspectral Imagery and Domain Adaptation | ||
| Sabatino, Jolanda | S3.2.2 | Deep Learning Model for Video-Classification of Echocardiography Images | |
| Sabatucci, Luca | S1.2.5 | Digital Practices: Introducing Social Dimension in Digital Twins | |
| Sacco, Federica | S8.2.2 | An Anthropomorphic Robot With ChatGPT for Learning Activities: The Teachers' Perspective | |
| Sacco, Marco | PS1.3 | A Scalable VR-Based System to Assess Driving-Related Abilities in People With Disability | |
| Sacco, Marco | S5.1.1 | Towards Human-Centricity Within a Sofa Factory Assembly Line: A Real-Time Location System | |
| Salzano, Angela | S6.1.1 | Sustainable Measures for Assessing the Impact of Climate Effects on Livestock Biological Variability | |
| Salzano, Francesco | S8.3.1 | Deploying Unsupervised Learning for Daily Activity Windows Analisys in Cancer Patients | |
| Samuel, Ashish | S2.4.5 | CSP-LSTM Based Emotion Recognition From EEG Signals | |
| Sancho Aragón, Jaime | S2.4.2 | Sparse to Dense Ground Truth Pre-Processing in Hyperspectral Imaging for In-Vivo Brain Tumour Detection | |
| Sanesi, Antonio | S2.2.2 | Enhancing Fluorescence Image Analysis Through Deep Learning | |
| Sangiorgi, Sergio | S7.2.4 | WAITASEC: The Development of an Application for People' Digital Wellness | |
| Sangiuliano Intra, Francesca | S1.3.2 | A Novel Ecological EEG Protocol to Assess Cognitive Load During Balance Task in Rehabilitation Settings | |
| Sanna, Andrea | S1.2.1 | Storytelling in the Metaverse: From Desktop to Immersive Virtual Reality Storyboarding | |
| Santone, Antonella | S3.2.5 | Explainable Deep Learning for Brain Cancer Detection and Localisation | |
| PS2.7 | A Machine Learning Approach to Classify Ventilatory Efficiency | ||
| S5.3.2 | Feasibility of Tree-Based Machine Learning Models to Discriminate Safe and Unsafe Posture During Weight Lifting | ||
| Santoro, Danilo | PS_IND.2 | Electrical Vehicle Fleet Management for Industrial Environment With Battery SoH Prediction Through Neural Networks | |
| Sanz, Cesar | S2.4.2 | Sparse to Dense Ground Truth Pre-Processing in Hyperspectral Imaging for In-Vivo Brain Tumour Detection | |
| Sapuppo, Francesca | S5.1.5 | Model-Agnostic Methods for Soft Sensor Interpretability | |
| Savini, Francesca | PS1.16 | Multiscale Digital Platforms for Safety Management and Maintenance of Road Networks | |
| Scalera, Michele | S6.3.3 | Artificial Intelligence for Automotive Security: How to Support Developers in Automotive Solutions | |
| Scano, Alessandro | S5.2.2 | Upper Limb Phasic Muscle Synergies With Negative Weightings: Applications for Rehabilitation | |
| Scapaticci, Rosa | S3.3.3 | A Machine Learning Approach to Microwave Sensing for Non-Invasive Alzheimer's Disease Detection | |
| Scarpetta, Marco | PS3.9 | U-Net Convolutional Neural Network for Optic Disc Segmentation | |
| PS3.10 | The SNOWED Dataset and Its Application to Po River Monitoring Through Satellite Images | ||
| Scattolini, Riccardo | PS_IND.19 | The MICS Project: A Data Science Pipeline for Industry 4.0 Applications | |
| Schenone, Valentina | S3.3.2 | A Multifrequency Inverse-Scattering Technique for Brain Stroke Microwave Diagnostics | |
| Scherer, Reinhold | S3.1.5 | Maths Anxiety and Cognitive States Monitoring for Neuroadaptive Learning Systems Using Electroencephalography | |
| Schiavoni, Raissa | PS2.12 | Entropy-Based EEG Measures for Revealing Altered Neural Dynamics in Alzheimer's Disease: A Preliminary Study | |
| Schleiss, Philipp | S2.3.1 | Toward Safe Human Machine Interface and Computer-Aided Diagnostic Systems | |
| Schmitt, Nicolas | S7.1.2 | Local Fading Memory Effects in a Tantalum Oxide ReRAM Cell From Hewlett Packard Labs | |
| Schnieders, Kristoffer | PS3.5 | Advanced Electrical Characterization of Memristive Arrays for Neuromorphic Applications | |
| Schumacher, Mathias | PS3.5 | Advanced Electrical Characterization of Memristive Arrays for Neuromorphic Applications | |
| Sciarrone, Andrea | S3.3.2 | A Multifrequency Inverse-Scattering Technique for Brain Stroke Microwave Diagnostics | |
| Scilingo, Enzo Pasquale | S6.3.2 | Development of a Behavioral Avoidance Test in Virtual Reality (VR-BAT) | |
| Scipilliti, Giuseppa | S5.1.5 | Model-Agnostic Methods for Soft Sensor Interpretability | |
| Scotti, Veronica | S3.4 - Part II.1 | A Metrological Approach to Ethical and Legal Issues in Artificial Intelligence | |
| Sebastianelli, Alessandro | PS3.1 | Estimation of Ground NO2 Measurements From Sentinel-5P Tropospheric Data Through Categorical Boosting | |
| Sebastiani, Roberta | S8.1.2 | Digital Healthcare Service Ecosystem: Established Approaches and New Perspectives | |
| Seminara, Luigi | S5.1.2 | An AR-Based Tool for Acquisition and Automatic Labeling of Human-Object Interactions From First Person Vision | |
| Senatore, Francesco | PS2.8 | Brain-Computer Interface to Drive Industrial Robots: An Experimental Study in Hybrid Human-Robot Manufacturing | |
| Seregni, Agnese | S7.4.4 | Investigation of Neurophysiological Biomarkers Using Dry Electrodes EEG Device in Patients With Neurological Diseases Undergoing Motor Neurorehabilitation: Protocol Trial | |
| Sergi, Francesco | S5.1.4 | A Novel Machine Learning Algorithm for State of Health Prediction of Lithium-Ion Batteries | |
| Sernani, Paolo | PS_IND.8 | A Comparison of Time Series Prediction Techniques for the Realization of a Smart Thermostat | |
| S3.4 - Part I.4 | Evaluating Deep Neural Networks for Face Recognition With Different Subsets of Mugshots From the Photo-Signaling Procedure | ||
| PS3.11 | Machine Learning-Based Classification of the Traffic of Digital Marketing Campaigns | ||
| Serrani, Alessio | S1.3.4 | Data Quality Assessment for the Validation of Synchronization Performance in an Innovative Wireless Multi-Node Monitoring Platform | |
| Shabanalinezhad, Hossein | PS_IND.23 | Characterization of a Linear X-Shaped-Spring Suspension With Nonlinear Damping for Industrial Vibration Control Applications | |
| PS_IND.18 | Vibration Energy Harvesting From Planar Excitations in Industrial Machines | ||
| PS_IND.24 | Nonlinear Dynamics of a Softening-Hardening Oscillator for Energy Harvesting in Industrial Applications | ||
| Shao, Linxiang | PS_IND.15 | Defect Modeling During the SLM Process for Manufacturing Microwave Devices | |
| Sharma, Riya | PS_IND.6 | State of Health Estimation for Li-Ion Battery Using Machine Learning | |
| Si, Liming | PS_IND.15 | Defect Modeling During the SLM Process for Manufacturing Microwave Devices | |
| Sica, Luigia | S6.2.5 | Enhancing Career-Related Teacher Support Through Technologies: The NEFELE Training Model | |
| S7.2.1 | "Safer": Design and Development of a Supportive Assistant for Emotion Regulation | ||
| Sidharth, Sidharth | S2.4.5 | CSP-LSTM Based Emotion Recognition From EEG Signals | |
| Simeoli, Roberta | S7.2.2 | Exploring Motor Patterns in Autism Spectrum Disorder Using Raw Data and Artificial Intelligence: A Pilot Study | |
| Simonazzi, Marco | PS_IND.2 | Electrical Vehicle Fleet Management for Industrial Environment With Battery SoH Prediction Through Neural Networks | |
| Singh, Ashima | PS_IND.6 | State of Health Estimation for Li-Ion Battery Using Machine Learning | |
| Singh, Mukesh | PS_IND.6 | State of Health Estimation for Li-Ion Battery Using Machine Learning | |
| S4.2.2 | Early Detection of Fire in EV Battery Using Machine Learning Approach | ||
| Sirakoulis, Georgios | S8.3.5 | Recognition of Greek Alphabet Characters With Memristive Neuromorphic Circuit | |
| Soeiro, Thiago | PS_IND.3 | Transformer Neural Network for Early Battery Capacity Prediction Based on Electrochemical Impedance Spectroscopy | |
| Somma, Federica | S7.2.5 | Putting the Pieces Together: Exploring the Dimensionality of Enhanced Baking Tray Task Indexes in School-Aged Children | |
| Song, Yuchen | S5.1.3 | A Multi-Channel Deep-Learning Prediction Algorithm for Battery State-Of-Health Indicator | |
| Soulatiantork, Payam | S7.4.1 | Improving Common Spatial Patterns in Brain-Computer Interface Using Dynamic Time Warping and EEG Normalization | |
| Spadavecchia, Maurizio | PS3.10 | The SNOWED Dataset and Its Application to Po River Monitoring Through Satellite Images | |
| Spadea, Maria Francesca | S3.2.2 | Deep Learning Model for Video-Classification of Echocardiography Images | |
| Spagnolini, Umberto | PS1.1 | Comparison of Data Compression Methods for Implanted Real-Time Peripheral Nervous System | |
| Spano, Mattia | S3.3.3 | A Machine Learning Approach to Microwave Sensing for Non-Invasive Alzheimer's Disease Detection | |
| Spaziani, Sara | PS2.4 | Raman Spectroscopy of Cells for Cancer Classification Through Machine Learning | |
| Spiller, Dario | PS2.14 | Exploring Canopy Temperature and Height Dynamics in Forest Ecosystems | |
| S6.1.5 | Comparison of 1D and 3D Convolutional Neural Networks for Wildfire Detection Using PRISMA Hyperspectral Imagery and Domain Adaptation | ||
| Spinelli, Filippo | PS_IND.9 | Bearing Failure Classification With Low Complexity Neural Network | |
| Spoladore, Daniele | S1.1.2 | An Ontology-Based Mixed Reality Application to Support Car Reconfiguration for Drivers With Disabilities | |
| PS1.2 | Assessment and Ontological Modeling of Physical and Cognitive Impairments to Foster the Employment of People With Disabilities | ||
| Sposito, Matteo | PS_IND.20 | Control and Thermal Design of a Bi-Directional Grid Interface Converter for Fast-Recharging Stations Developed in the Framework of the Italian PNRR Research Activities | |
| Steinert, Patrick | PS2.20 | Towards the Integration of Metaverse and Multimedia Information Retrieval | |
| Stepanov, Konstantin | PS_IND.25 | Optical Fiber Sensor for Real-Time Monitoring of Industrial Structures and Application to Urban Telecommunication Networks | |
| PS_IND.26 | Uncertainty Evaluation in Knife-Edge Laser Spot-Size Measurements for Industrial Applications | ||
| Sterpa, Alessandro | S3.4 - Part II.5 | Legal and Technical Answers to Privacy Issues Raised by AI-Based Facial Recognition Algorithms | |
| Strachan, John Paul | S7.1.4 | Analog Feedback-Controlled Memristor Programming Circuit for Analog Content Addressable Memory | |
| Sultana, Mushfika | S1.1.3 | Towards Calibration-Less BCI-Based Rehabilitation | |
| Sun, Houjun | PS_IND.15 | Defect Modeling During the SLM Process for Manufacturing Microwave Devices | |
| Sun, Zhongheng | S2.1.4 | Time-Delay Tolerance of Visual and Olfactory Feedback in Multi-Sensory Extended Reality | |
| Susto, Gian Antonio | PS_IND.19 | The MICS Project: A Data Science Pipeline for Industry 4.0 Applications | |
| Sutradhar, Pallab | S2.4.2 | Sparse to Dense Ground Truth Pre-Processing in Hyperspectral Imaging for In-Vivo Brain Tumour Detection | |
| Svelto, Cesare | PS_IND.26 | Uncertainty Evaluation in Knife-Edge Laser Spot-Size Measurements for Industrial Applications | |
| PS_IND.17 | Prototype of an Industrial Measurement System for Thermal Conductivity of Scuba Diving Wet Suits | ||
| PS_IND.23 | Characterization of a Linear X-Shaped-Spring Suspension With Nonlinear Damping for Industrial Vibration Control Applications | ||
| PS_IND.24 | Nonlinear Dynamics of a Softening-Hardening Oscillator for Energy Harvesting in Industrial Applications | ||
| PS_IND.18 | Vibration Energy Harvesting From Planar Excitations in Industrial Machines | ||
| PS_IND.25 | Optical Fiber Sensor for Real-Time Monitoring of Industrial Structures and Application to Urban Telecommunication Networks | ||
| Sweeney-Reed, Catherine | S1.1.3 | Towards Calibration-Less BCI-Based Rehabilitation | |
| Symeonidis, Symeon | S6.1.3 | Enhancing Urban Environmental Sustainability Through Unified Stakeholders Needs Co-Creation Process (ΑΕΝΕΑ) | |
| T A B C D E F G H I J K L M N O P Q R S T U V W X Y Z | |||
| Taborri, Juri | PS1.10 | Comparison of Two Video-Based Methods for Knee Joint Angle Measurement: A Preliminary Study | |
| PS1.5 | Training Program on Sign Language: Social Inclusion Through Virtual Reality in ISENSE Project | ||
| PS1.7 | The Use of Artificial Intelligence for Sign Language Recognition: From a Literature Overview to the ISENSE Project | ||
| PS1.8 | Comparing Supervised Machine-Learning Algorithms to Measure the Number of Technical Actions in Industrial Environments | ||
| S2.1.2 | A VR Serious Game to Increase Empathy Towards Students With Phonological Dyslexia | ||
| Tacchini, Marta | S7.4.4 | Investigation of Neurophysiological Biomarkers Using Dry Electrodes EEG Device in Patients With Neurological Diseases Undergoing Motor Neurorehabilitation: Protocol Trial | |
| Tagliaferri, Chiara | PS1.2 | Assessment and Ontological Modeling of Physical and Cognitive Impairments to Foster the Employment of People With Disabilities | |
| Tamburis, Oscar | S6.1.1 | Sustainable Measures for Assessing the Impact of Climate Effects on Livestock Biological Variability | |
| S6.1.3 | Enhancing Urban Environmental Sustainability Through Unified Stakeholders Needs Co-Creation Process (ΑΕΝΕΑ) | ||
| S8.3.1 | Deploying Unsupervised Learning for Daily Activity Windows Analisys in Cancer Patients | ||
| Tanca, Letizia | PS_IND.19 | The MICS Project: A Data Science Pipeline for Industry 4.0 Applications | |
| Tancredi, Chiara | S2.3.2 | In the Loop of Safe Driving: An Assessment of HMI Strategies Enabled by Intelligent Driver Monitoring Systems With Daily Drivers | |
| S8.3.3 | Training Intelligent Driver State Monitoring Systems: Design and Validation of an Experimental Procedure in a Driving Simulator Environment | ||
| Tarantino, Andrea | S8.3.4 | A Modern Approach to Dimensional Inspection by Implementing Annotated 3D Cad Model in a Digital Manufacturing Environment | |
| Tedesco, Annarita | S1.3.1 | Expanding the Frontiers of Wearable Brain-Computer Interfaces Combining Augmented Reality and Visually Evoked Potentials | |
| S6.1.4 | Exploring the Relationship Between Performance and Environmental Sustainability in Measurement Systems: A Preliminary Study | ||
| Tetzlaff, Ronald | S7.1.2 | Local Fading Memory Effects in a Tantalum Oxide ReRAM Cell From Hewlett Packard Labs | |
| PS3.8 | Analytical Derivation of Sharp-Edge-Of-Chaos Domain in a One-Dimensional Memristor Array | ||
| Thangavel, Kathiravan | PS2.14 | Exploring Canopy Temperature and Height Dynamics in Forest Ecosystems | |
| S6.1.5 | Comparison of 1D and 3D Convolutional Neural Networks for Wildfire Detection Using PRISMA Hyperspectral Imagery and Domain Adaptation | ||
| Thormann, Christian | S2.3.4 | Towards Intuitive Extended Reality-Based Robot Control and Path Planning: Comparison of Augmented Reality and Mixed Reality-Based Approaches | |
| Timoney, Joseph | S2.1.4 | Time-Delay Tolerance of Visual and Olfactory Feedback in Multi-Sensory Extended Reality | |
| Tobon Vasquez, Jorge | S3.3.3 | A Machine Learning Approach to Microwave Sensing for Non-Invasive Alzheimer's Disease Detection | |
| Tomasi, Corrado | S1.1.4 | A Digital Twin Approach for Stroke Risk Assessment in Atrial Fibrillation Patients | |
| Tomassini, Selene | S3.4 - Part I.4 | Evaluating Deep Neural Networks for Face Recognition With Different Subsets of Mugshots From the Photo-Signaling Procedure | |
| Tonin, Luca | S7.4.2 | EEG-Based Self-Paced Decoding of Upper Limb Movement Intention in Healthy Subjects | |
| Torchio, Alessandro | S1.3.2 | A Novel Ecological EEG Protocol to Assess Cognitive Load During Balance Task in Rehabilitation Settings | |
| Tortora, Stefano | S7.4.2 | EEG-Based Self-Paced Decoding of Upper Limb Movement Intention in Healthy Subjects | |
| Toscani, Nicola | PS_IND.20 | Control and Thermal Design of a Bi-Directional Grid Interface Converter for Fast-Recharging Stations Developed in the Framework of the Italian PNRR Research Activities | |
| Toscani, Sergio | PS_IND.22 | IoT Sensor for Measuring Corrosion in Metal Artworks | |
| Toscano, Francesco | S1.2.4 | An Educational Approach for Mixed Reality Visualization of Agro-Meteorological Parameters | |
| Toschi, Nicola | S4.3.1 | The EXPERIENCE Project: Unveiling 'Extended-Personal Reality' Through Automated VR Environments and Explainable Artificial Intelligence | |
| Tramontano, Adriano | S8.3.1 | Deploying Unsupervised Learning for Daily Activity Windows Analisys in Cancer Patients | |
| Trapanese, Lucia | S6.1.1 | Sustainable Measures for Assessing the Impact of Climate Effects on Livestock Biological Variability | |
| Trizio, Ilaria | PS1.16 | Multiscale Digital Platforms for Safety Management and Maintenance of Road Networks | |
| Troise, Alessandro | S6.2.2 | Virtual Agents and Proxemic Distances: How Social Interactions Affect Our Spatial Representations | |
| Troisi, Emiliano | S3.4 - Part II.4 | The Possible Relationships Between Law and Ethics Applied to AI | |
| Tropea, Peppino | S7.4.4 | Investigation of Neurophysiological Biomarkers Using Dry Electrodes EEG Device in Patients With Neurological Diseases Undergoing Motor Neurorehabilitation: Protocol Trial | |
| Tsakalos, Karolos-Alexandros | S8.3.5 | Recognition of Greek Alphabet Characters With Memristive Neuromorphic Circuit | |
| Tscheligi, Manfred | S2.3.3 | Human in the Loop for XR Training: Theory, Practice and Recommendations for Effective and Safe Training Environments | |
| S2.1.1 | xHits: An Automatic Team Performance Metric for VR Police Training | ||
| S4.3.4 | Ethical Considerations for AI-Driven Adaptive Virtual Environments in VR Training for First Responders: An Industry Perspective | ||
| Tsoukalas, Dimitrios | S8.3.5 | Recognition of Greek Alphabet Characters With Memristive Neuromorphic Circuit | |
| Tubaro, Stefano | PS2.13 | Depth Map Super-Resolution Fusing Color Information | |
| U A B C D E F G H I J K L M N O P Q R S T U V W X Y Z | |||
| U, Aiswarya | S4.1.3 | Ethical Challenges of Using Artificial Intelligence in Judiciary | |
| Uddien Shaik, Riyaaz | PS2.14 | Exploring Canopy Temperature and Height Dynamics in Forest Ecosystems | |
| Uhl, Jakob | S2.1.1 | xHits: An Automatic Team Performance Metric for VR Police Training | |
| PS2.17 | Tangible Tactical Belt: Haptic Realism for Virtual Reality Police Training | ||
| Ullo, Silvia | PS3.1 | Estimation of Ground NO2 Measurements From Sentinel-5P Tropospheric Data Through Categorical Boosting | |
| V A B C D E F G H I J K L M N O P Q R S T U V W X Y Z | |||
| Valba, Olga | PS_IND.25 | Optical Fiber Sensor for Real-Time Monitoring of Industrial Structures and Application to Urban Telecommunication Networks | |
| Valdes Rey, Alberto | S2.1.3 | Exploring Emotional Responses in Virtual Reality Through Skin Conductance Signal | |
| Valenza, Gaetano | PS2.18 | Virtual Experience Toolkit: Enhancing 3D Scene Virtualization From Real Environments Through Computer Vision and Deep Learning Techniques | |
| Valenza, Gaetano | S4.3.1 | The EXPERIENCE Project: Unveiling 'Extended-Personal Reality' Through Automated VR Environments and Explainable Artificial Intelligence | |
| Valeri, Manuela | PS1.16 | Multiscale Digital Platforms for Safety Management and Maintenance of Road Networks | |
| Valli, Carlo | PS1.2 | Assessment and Ontological Modeling of Physical and Cognitive Impairments to Foster the Employment of People With Disabilities | |
| van Wassenhove, Virginie | S4.3.1 | The EXPERIENCE Project: Unveiling 'Extended-Personal Reality' Through Automated VR Environments and Explainable Artificial Intelligence | |
| Varon, Carolina | S4.4.1 | Cross-Subject Mindfulness Meditation EEG Decoding | |
| Vazquez, Guillermo | S2.4.2 | Sparse to Dense Ground Truth Pre-Processing in Hyperspectral Imaging for In-Vivo Brain Tumour Detection | |
| Vella, Francesco | S4.4.2 | Mental Fatigue Evaluation for Passive and Active Brain-Computer-interface(BCI) for Wheelchair-Robot During Human-In-The-Loop Control | |
| Venugopal, Prasanth | PS_IND.3 | Transformer Neural Network for Early Battery Capacity Prediction Based on Electrochemical Impedance Spectroscopy | |
| Vercelli, Gianni | S1.2.2 | Metaverse, a Year After: Evolution of XR Tools and Generative-AI | |
| Verdone, Chiara | PS2.4 | Raman Spectroscopy of Cells for Cancer Classification Through Machine Learning | |
| Vernitski, Alexei | S3.1.5 | Maths Anxiety and Cognitive States Monitoring for Neuroadaptive Learning Systems Using Electroencephalography | |
| Vetere, Guido | PS3.12 | VO.I.C.E. FIRST: Supporting Human Assistants With Real-Time Voice Understanding | |
| Vignoli, Valerio | PS_IND.10 | Machine Learning Regressor for Impedance Parameter Estimation of QCM Sensors for Liquid Media Characterization | |
| Villa, Manuel | S2.4.2 | Sparse to Dense Ground Truth Pre-Processing in Hyperspectral Imaging for In-Vivo Brain Tumour Detection | |
| Viola, Paolo | S6.1.2 | The Wild Boar as an Ecosystem Service: Moving Steps Towards Biodiversity Engineering | |
| Vipiana, Francesca | S3.3.3 | A Machine Learning Approach to Microwave Sensing for Non-Invasive Alzheimer's Disease Detection | |
| Vitanza, Alessandra | S8.2.3 | Skeleton Timed Up and Go on MARIO Robot | |
| Vitanza, Eleonora | PS1.11 | WeAIR: Wearable Swarm Sensors for Air Quality Monitoring to Foster Citizens' Awareness of Climate Change | |
| Volpe, Francesco | S6.3.4 | Automotive Knowledge Base for Supporting Vehicle-SOC Analysts | |
| Volzone, Antonio | S5.3.4 | A Cluster Analysis for Parkinson's Disease Phenotyping With Gait Parameters | |
| Vu, Viet Cuong | S7.1.3 | A SPICE Model for Simulating Current Transients in the Subthreshold Regime of Memristors | |
| W A B C D E F G H I J K L M N O P Q R S T U V W X Y Z | |||
| Wach, Benoit | PS2.22 | Parsimonious Technologies for Sensing Upper Limb Muscles Activation | |
| Wagenpfeil, Stefan | PS2.20 | Towards the Integration of Metaverse and Multimedia Information Retrieval | |
| Wang, Haiyang | S8.3.2 | A Novel Classification Model Based on Radiomics for Narrow Band Imaging in Laryngeal Cancer | |
| Waser, Rainer | PS3.5 | Advanced Electrical Characterization of Memristive Arrays for Neuromorphic Applications | |
| Wiefels, Stefan | PS3.5 | Advanced Electrical Characterization of Memristive Arrays for Neuromorphic Applications | |
| Winkler, Alexander | S2.3.4 | Towards Intuitive Extended Reality-Based Robot Control and Path Planning: Comparison of Augmented Reality and Mixed Reality-Based Approaches | |
| Wriessnegger, Selina Christin | S3.1.2 | Towards Neuroadaptive Piano Tutorials | |
| Wu, Guohua | S2.1.4 | Time-Delay Tolerance of Visual and Olfactory Feedback in Multi-Sensory Extended Reality | |
| X A B C D E F G H I J K L M N O P Q R S T U V W X Y Z | |||
| Xibilia, Maria Gabriella | PS_IND.12 | Calibration of a Clustering Algorithm to Improve the Nearshore Wave Prediction System | |
| PS_IND.11 | Estimating Finite-Time Delay in Dynamical Soft Sensors for Industrial Processes: Robustness to Noise | ||
| S5.1.5 | Model-Agnostic Methods for Soft Sensor Interpretability | ||
| Y A B C D E F G H I J K L M N O P Q R S T U V W X Y Z | |||
| Yang, J. Joshua | PS3.7 | Early Prevention of Heart Attacks Using Memristor-Based Machine Learning and Surface Enhanced Raman Spectroscopy With Collapsible Nanofinger | |
| Yeguas-Bolívar, Enrique | PS1.6 | Jewelry Recognition via Encoder-Decoder Models | |
| PS1.7 | The Use of Artificial Intelligence for Sign Language Recognition: From a Literature Overview to the ISENSE Project | ||
| PS1.5 | Training Program on Sign Language: Social Inclusion Through Virtual Reality in ISENSE Project | ||
| S2.1.2 | A VR Serious Game to Increase Empathy Towards Students With Phonological Dyslexia | ||
| Yu, Jiaao | S7.1.4 | Analog Feedback-Controlled Memristor Programming Circuit for Analog Content Addressable Memory | |
| Yuan, Haoyun | PS_IND.15 | Defect Modeling During the SLM Process for Manufacturing Microwave Devices | |
| Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z | |||
| Zafari, Setareh | S2.3.3 | Human in the Loop for XR Training: Theory, Practice and Recommendations for Effective and Safe Training Environments | |
| Zaffino, Paolo | S3.2.2 | Deep Learning Model for Video-Classification of Echocardiography Images | |
| Zanchettin, Andrea | PS_IND.21 | Digital Technologies for the Design of Human-Robot Collaborative Cells | |
| Zecchin, Giada | S5.2.3 | Feasibility of a Portable, Wearable, High-Density Surface EMG Device for Detecting Functional Hand-Object Interactions | |
| Zechner, Olivia | S2.3.3 | Human in the Loop for XR Training: Theory, Practice and Recommendations for Effective and Safe Training Environments | |
| S4.3.4 | Ethical Considerations for AI-Driven Adaptive Virtual Environments in VR Training for First Responders: An Industry Perspective | ||
| Zeng, Weiping | PS2.14 | Exploring Canopy Temperature and Height Dynamics in Forest Ecosystems | |
| Zheng, Haoyuan | S2.1.4 | Time-Delay Tolerance of Visual and Olfactory Feedback in Multi-Sensory Extended Reality | |
| Zhirnov, Andrey | PS_IND.26 | Uncertainty Evaluation in Knife-Edge Laser Spot-Size Measurements for Industrial Applications | |
| PS_IND.25 | Optical Fiber Sensor for Real-Time Monitoring of Industrial Structures and Application to Urban Telecommunication Networks | ||
| Zimei, Eva | S5.2.4 | An EMG-Triggered Cooperative Controller for a Hybrid FES-Robotic System | |
| Zingoni, Andrea | PS1.9 | Data Engineering Techniques for Efficient and Accurate Human Physical Activities Data Collection: A Summary of the State-Of-The-Art | |
| PS1.6 | Jewelry Recognition via Encoder-Decoder Models | ||
| PS1.8 | Comparing Supervised Machine-Learning Algorithms to Measure the Number of Technical Actions in Industrial Environments | ||
| S2.1.2 | A VR Serious Game to Increase Empathy Towards Students With Phonological Dyslexia | ||
| S2.1.5 | Prediction of Football Players' Performance Indicators via Random Forest Algorithm | ||
| S3.4 - Part II.5 | Legal and Technical Answers to Privacy Issues Raised by AI-Based Facial Recognition Algorithms | ||
| Zolezzi, Daniele | S1.2.2 | Metaverse, a Year After: Evolution of XR Tools and Generative-AI | |
| Zurlo, Domenico | PS3.12 | VO.I.C.E. FIRST: Supporting Human Assistants With Real-Time Voice Understanding | |