PUBLICATIONS

2025

Journals

• A Léchappé, C Fleury, M Chollet and C Dumas, "How to Categorize Collaboration During a Collaborative Puzzle-solving Task ? Validation of Collaboration Profiles Using Multimodal Data in Virtual Reality Context",  Proceedings of the ACM on Human-Computer Interaction, vol 9, no. 2 : 1-46, 2025.

• L Luo, Y Nakao, M Chollet, H Inakoshi and S Stumpf, "EARN Fairness : Explaining, Asking, Reviewing, and Negotiating Artificial Intelligence Fairness Metrics Among Stakeholders", Proceedings of the ACM on Human-Computer Interaction, vol 9, no. 2 : 1-37, 2025

• M Weerasinghe, S Macdonald, C Fiani, J O’Hagan, M Chollet, M McGill and M Khamis, "Beyond Mute and Block : Adoption and Effectiveness of Safety Tools in Social VR, from Ubiquitous Harassment to Social Sculpting", IEEE Transactions on Visualization and Computer Graphics. Part of the top IEEE VR 2025 submissions selected for publication in a special issue of IEEE Transactions on Visualization and Computer Graphics (TVCG).

• J Liao,  T Guha and V Sanchez, Self-supervised Random Mask Attention GAN in Tackling Pose-invariant Face Recognition, Pattern Recognition,  vol 159, March 2025

• S Madan, M Gahalawat, T Guha, R Goecke, R Subramanian, Explainable Human-centered Traits from Head Motion and Facial Expression Dynamics, PLOS One, vol 20(1):e0313883, January 2025

Conference Proceedings

• T Bian, M Chollet and T Guha, "Robust understanding of human-robot social interactions through multimodal distillation", ACM Multimedia, October 2025

• E Taka, D Bhattacharya, J Garde-Hansen, S Sharma and T Guha, "Analyzing character representation in media content using multimodal foundation model: Effectiveness and trust", ACM International Conference on Multimodal Interaction (ICMI), October 2025

• A Ahmed Al Dosssary, M Chollet, A Vinciarelli, "From Speech and PPG to EDA : Stress Detection Based on Cross-Modal Fine-Tuning of Foundation Models", In ACM International Conference on Multimodal Interaction (ICMI), October 2025.

• A Léchappé, A Milliat, A Kabil, M Chollet, C Dumas, "System As A Collaborator (SAAC) : a Framework for Modeling, Capturing and Augmenting Collaborative Activities in Extended Reality", In IEEE International Conference on Automation Science and Engineering (CASE), 2025.

• A Léchappé, R Johnstone, A Milliat, J H Williamson, M Chollet, J R Williamson, "Understanding Social Interactions in Reality Versus Virtuality",  In ACM SIGCHI Conference on Human Factors in Computing Systems (CHI), 2025

• A Barkar, M Chollet, M Labeau, B Biancardi and C Clavel, "Decoding Persuasiveness in Eloquence Competitions : An Investigation into the LLM’s Ability to Assess Public Speaking", In International Conference on Agents and Artificial Intelligence (ICAART), 2025

• T Bian, Y Ma, M Chollet, V Sanchez and T Guha, "Interact with me: Joint Egocentric Forecasting of Intent to Interact, Attitude and Social Actions", IEEE International Conference on Mulimedia and Expo (ICME), July 2025

• Y Ma, V Sanchez and T Guha, "CLIP-EBC: CLIP Can Count Accurately through Enhanced Blockwise Classification", IEEE International Conference on Mulimedia and Expo (ICME), July 2025.

• R Levya, S Guodong, O Bahadir, V Sanchez and T Guha, "Boosting Tiny Face Detection in Video with an Integral Score Framework," IEEE Face & Gesture (FG), June 2025

• B Ghosh, E Li and T Guha, "Active Listener: Continuous Generation of Listener's Head Motion Response in Dyadic Interactions", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), April 2025.

2024

Journals

• N Aloshban, A Esposito, A Vinciarelli and T Guha, "On the Effects of Obfuscating Speaker Attributes in Privacy-Aware Depression Detection", Pattern Recognition Letters, Vol 186, pp 300-305, October 2024

• A Allemang-Trivalle, J Donjat, G Bechu, G Coppin, M Chollet, OW Klaproth, A Mitschke, A Schirrmann and CGL Cao, "Modelling Fatigue in Manual and Robot-Assisted Work for Operator 5.0",  IISE Transactions on Occupational Ergonomics and Human Factors. In press.

• B Biancardi, M Chollet, C Clavel, “Introducing the 3MT_French Dataset to Investigate the Timing of Public Speaking Judgements”, Language Resources and Evaluation. In press.

• O Ajayi, H Wen and T Guha, "NAPE: Numbering As a Position Encoding in Graphs", IEEE Access, vol 12, pp 166200-166210, November 2024

Conference Proceedings

• B Alsenani, A Esposito, A Vinciarelli and T Guha, Assessing Privacy Risks of Attribute Inference Attacks against Speech-based Depression Detection System, European Conference on Artificial Intelligence,  2024

• C Kessassi, M Chollet, C Dumas and C Cao, "You’re Hired! Effect of Virtual Agents’ Social Status and Social Attitudes on Stress Induction in Virtual Job Interviews". IEEE VR, March 2024

• S Ashkenazi, G Skantze, J Stuart-Smith, and M E Foster, "Goes to the Heart: Speaking the User's Native Language," Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, pp. 214–218, March 2024.

• M Elfleet and M Chollet,  "Investigating the Impact of Multimodal Feedback on User-Perceived Latency and Immersion with LLM-Powered Embodied Conversational Agents in Virtual Reality" In Proceedings of the 24th ACM International Conference on Intelligent Virtual Agents (IVA ’24), pp. 1–9, September 2024.

• G Li, T Guha, O Onuoha, Z Qiu, A Grant, Z Feng, Z Zhang, K Pohlmann, M McGill, S Brewster and F Pollick, "Detecting In-car VR Motion Sickness from Lower Face Action Units", IEEE International Symposium for Mixed and Augmented Reality (ISMAR), 2024

• O Styles, S Miller, P Cerda-Mardini, T Guha, V Sanchez and B Vidgen, "WorkBench: A Benchmark Dataset for Agents in a Realistic Workplace Setting", International conference on Language Models (COLM), September  2024

• E Fringi, N Alareef, L Picinalli, S Brewster, T Guha and A Vinciarelli, Is Distance a Modality? Multilabel Learning for Speech-Based Joint Prediction of Attributed Traits and Perceived Distances in 3D Audio Immersive Environment, ACM International Conference in Multimodal Interaction (ICMI), November 2024 

2023

Conference Proceedings

• A Lechappe, A Milliat,C Fleury, M Chollet and C Dumas, "Characterization of Collaboration in a Virtual Environment with Gaze and Speech Signal". In International Conference on Multimodal Interaction - Late Breaking Results Track (ICMI 2023), Paris, October 2023.

• A Barkar, B Biancardi, C Clavel and M Chollet, "Insights Into the Importance of Linguistic Textual Features on the Persuasiveness of Public Speaking". International Conference on Multimodal Interaction - Late Breaking Results Track (ICMI 2023), Paris, October 2023.

• M Gahalawat, R F Rojas, T Guha, R Subramanian and R Goecke, "Explainable Depression Detection via Head Motion Patterns", International Conference on Multimodal Interaction (ICMI), Paris, October 2023.

• C Kessassi, M Chollet, C Dumas and C Cao, "Social Presence Mediates Audience Behavior Effects on Social Stress in Virtual Public Speaking". International Conference on Affective Computing and Intelligent Interaction (ACII 2023), September 2023. 

• A Buker, H Alsofyani and A Vinciarelli, "Multiple Instance Learning for Inference of Child Attachment From Paralinguistic Aspects of Speech", INTERSPEECH, Dublin, Ireland, August 2023.

• F Tao, A Esposito and A Vinciarelli, "The Androids Corpus: A New Publicly Available Benchmark for Speech Based Depression Detection", INTERSPEECH, Dublin, Ireland, August 2023.

• B Alsenani, T Guha and A Vinciarelli, "Privacy Risks in Speech Emotion Recognition: A Systematic Study on Gender Inference Attack, INTERSPEECH, Dublin, Ireland, August 2023.

• A Shirian, M Ahmadian, K Somandepalli and T Guha, “Heterogeneous Graph Learning for Acoustic Event Classification”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes, Greece, June 2023. [Code]

• F Tao, X Ge, W Ma, A Esposito and A Vinciarelli, “Multi-local Attention for Speech-based Depression Detection”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes, Greece, June 2023.

• Y Ma, V Sanchez, S Nikan, D Upadhyay, B Atote and T Guha, “Robust Multiview Multimodal Driver Monitoring System using Masked Multihead Self Attention”, IEEE/CVF International Conference on Computer Vision and Pattern Recognition Workshops (CVPR-W), Vancouver, Canada, June 2023.  [Code]

• B Biancardi, M Chollet, C Clavel, “Introducing the 3MT_French Dataset”,  First International Multimodal Communication Symposium, Barcelona, Spain, April 2023.

• B Biancardi, Y Duan, M Chollet, and C Clavel, “It’s not Just What You Do but also When You Do It: Novel Perspectives for Informing Interactive Public Speaking Training”, 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP), Lisbon, Portugal, February 2023.

2022

Book Chapter(s)

• A Esposito, A Vinciarelli and G Cordasco, “A Research Agenda for Dementia Care: Prevention, Risk Mitigation and Personalized Interventions“, in “Advances in Assistive Technologies”, G.A.Tsihrintzis, M.Virvou, A.Esposito and L.C.Jain (eds.), Springer Verlag, 2022.

Journals

• O Styles, T Guha and V Sanchez, "Multicamera Trajectory Forecasting with Trajectory Tensors", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol 44(11), pp 8482 - 8491, November 2022.

• A Shirian, K Somandepalli and T Guha, “Self-supervised Graphs for Audio Representation Learning with Limited Labeled Data”, IEEE Journal of Selected Topics in Signal Processing, vol. 26(6), pp. 1391-1401, October 2022. [Code]

• A Shirian, S Tripathi and T Guha, “Dynamic Emotion Modeling with Learnable Graphs and Graph Inception Network”, IEEE Transactions on Multimedia, vol. 24, pp. 780 - 790, February 2022. 

• T Amorese, M Cuciniello, A Vinciarelli, G Cordasco and A Esposito, “Synthetic vs Human Emotional Faces: What Changes in Humans Decoding Accuracy“, IEEE Transactions on Human-Machine Systems, Vol. 52(3), pp. 390-399, 2022.

• M Tayarani, A Esposito and A Vinciarelli, “What an `Ehm’ Leaks About You: Mapping Fillers into Personality Traits with Quantum Evolutionary Feature Selection Algorithms“, IEEE Transactions on Affective Computing, Vol. 13(1), pp. 108-121, 2022.

• N Aloshoban, A Esposito and A Vinciarelli, “What You Say Or How You Say It? Depression Detection Through Joint Modelling of Linguistic and Acoustic Aspects of Speech“, Cognitive Computation, Vol 14, pp. 1585-1598, 2022.

• M Chollet, S Marsella, and S Scherer. "Training public speaking with virtual social interactions: effectiveness of real-time feedback and delayed feedback." Journal on Multimodal User Interfaces, vol. 16, pp. 17–29, 2022. 

Conference Proceedings

• K Min, S Tripathi, S Roy, T Guha and S Majumdar, “Learning spatial-temporal graphs for active speaker detection”, European Conference on Computer Vision (ECCV), Tel-Aviv, Israel, October 2022. [Code]

• Y Ma, V Sanchez and T Guha, “FusionCount: Efficient Crowd Counting via Multiscale Feature Fusion”, IEEE International Conference on Image Processing (ICIP), Bordeaux, France, October 2022.

• A Shirian, K Somandepalli, V Sanchez and T Guha, “Visually-aware Acoustic Event Detection using Heterogeneous Graphs”, INTERSPEECH, Incheon, S Korea, September 2022. [Code]

• G Rennie, O Perepelkina and A Vinciarelli, “Which Model is Best: Comparing Methods and Metrics for Automatic Laughter Detection in a Naturalistic Conversational Dataset“,  INTERSPEECH, Incheon, S Korea, September 2022.

• A Bîrlădeanu, H Minnis and A Vinciarelli, “Automatic Detection of Reactive Attachment Disorder Through Turn-Taking Analysis in Clinical Child-Caregiver Sessions“,  INTERSPEECH, Incheon, S Korea, September 2022.

• V Silber-Varod, A Vinciarelli and B Har Lev, “The business side of social signals and nonverbal communication“, Knowledge Management (KM) Conference, Ljubljana, Slovenia, June 2022.

• H Alsofyani and A Vinciarelli, “Attachment Recognition in School-Age Children: A Multimodal Approach Based on Language and Paralanguage Analysis“, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Singapore, May 2022.

• R Alsarrani, A Esposito and A Vinciarelli, “Thin Slices of Depression: Improving Depression Detection Performance Through Data Segmentation“, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Singapore, May 2022.

2021

Book Chapter(s)

• A Buker and A Vinciarelli, “Who Is Typing? Automatic Gender Recognition from Interactive Textual Chats Using Typing Behaviour“, in “Enabling Machine Learning Applications in Data Science. Algorithms for Intelligent Systems”, A.E.Hassanien, A.Darwish, S.M.Abd El-Kader, D.A.Alboaneen (eds.), Springer Verlag, pp. 3-15, 2021.

Journals

• G Roffo, S Melzi, U Castellani, A Vinciarelli and M Cristani, “Infinite Feature Selection: a Graph-based Feature Filtering Approach“, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 43(12), pp. 4396-4410, 2021.

• C Greco, O Matarazzo, G Cordasco, A Vinciarelli, Z Callejas and A Esposito, “Discriminative Power of EEG-Based Biomarkers in Major Depressive Disorder: A Systematic Review“, IEEE Access, Vol. 9, pp. 112850-112870, 2021.

• H Minnis, M Rooksby, S Di Folco, M Tayarani, D-B Vo, R Huan, A Vinciarelli and S Brewster, “The School Attachment Monitor – a Novel Computational Tool for Assessment of Attachment in Middle Childhood“, PLOS One, 6(7): e0240277, 2021.

Conference Proceedings

• H Alsofyani and A Vinciarelli, “Attachment Recognition in School Age Children Based on Automatic Analysis of Facial Expressions and Nonverbal Vocal Behaviour“, ACM International Conference on Multimodal Interactions (ICMI), Montreal, Canada, October 2021.

• A Buker and A Vinciarelli, “I Feel it in Your Fingers: Inference of Self-Assessed Personality Traits From Keystroke Dynamics in Interactive Dyadic Chats“, IEEE International Conference on Affective Computing and Intelligent Interactions (ACII), Virtual, September 2021.

• N Aloshban, A Esposito and A Vinciarelli, “Language or Paralanguage, This is the Problem: Comparing Depressed and Non-Depressed Speakers Through the Analysis of Gated Multimodal Units“, INTERSPEECH, Brno, Czech, September 2021.

• H Alsofyani and A Vinciarelli, “Stacked Recurrent Neural Networks for Speech-Based Inference of Attachment Condition in School Age Children“,  INTERSPEECH, Brno, Czech, September 2021.

2020

Book Chapter(s)

• K Lohan, M I Ahmad, C Dondrup, P Ardón, E Pairet, A Vinciarelli, “Adapting Movements and Behaviour to Favour Communication in Human-Robot Interaction“, in “Modelling Human Motion”, N.Noceti, A.Sciutti, F.Rea (eds.), Springer Verlag, pp. 271-297, 2020.

Journals

• M Cristani, A  Del Bue, V Murino, F Setti, A Vinciarelli, “The Visual Social Distancing Problem“, IEEE Access, Vol. 8, pp. 126876-126886, 2020.

• M Aylett, M Wester and A Vinciarelli, “Speech Synthesis for the Generation of Artificial Personality“, IEEE Transactions on Affective Computing, Vol. 11(2), pp. 361-372, 2020.

• M Klados, P Konstantinidi, R Dacosta-Aguayo, V-D Kostaridou, A Vinciarelli and M Zervakis, “Automatic Recognition of Personality Profiles Using EEG Functional Connectivity during Emotional Processing“, Brain Sciences, Vol. 10(5), pp. 278-292, 2020.

Conference Proceedings

• A Esposito, T Amorese, N M Maldonato, A Vinciarelli, M I Torres, S Escalera, G Cordasco, “Seniors’ ability to decode differently aged facial emotional expressions” IEEE International Conference on Automatic Face and Gesture Recognition (FG), Virtual, November 2020.

• N Aloshban, A Esposito and A Vinciarelli, “Detecting Depression in Less Than 10 Seconds: Impact of Speaking Time on Depression Detection Sensitivity“, ACM International Conference on Multimodal Interaction (ICMI), Virtual, October 2020.

• D B Vo, S Brewster and A Vinciarelli, “Did the Children Behave? Investigating the Relationship Between Attachment Condition and Child Computer Interaction“, ACM International Conference on Multimodal Interaction (ICMI), Virtual, October 2020.

• F Tao, A Esposito and A Vinciarelli, “Spotting the Traces of Depression in Read Speech: An Approach Based on Computational Paralinguistics and Social Signal Processing“, INTERSPEECH, Virtual, October 2020.

2019

Book Chapter(s)

• A Vinciarelli, “Machine-Based Decoding of Human Voices and Speech“, in “The Oxford Handbook of Voice Perception”, S.Frühholz and P.Belin (eds.), Oxford University Press, pp. 707-718, 2019.

• A Vinciarelli, W Riviera, F Dalmasso, S Raue, C Abeyratna, “What Do Prospective Students Want? An Observational Study of Preferences About Subject of Study in Higher Education“,  in “Innovations in Big Data Mining and Embedded Knowledge”, Springer, pp. 83-97, 2019.

Journals

• A Buker, G Roffo and A Vinciarelli, “Type Like a Man! Inferring gender from keystroke dynamics in live-chats“, IEEE Intelligent Systems, vol. 34, No. 6,  2019.

• B Schuller, F Weninger, Y Zhang, F Ringeval, A Batliner, S Steidl, F Eyben, E Marchi, A Vinciarelli, K Scherer, M Chetouani, M Mortillaro, “Affective and Behavioural Computing: Lessons Learnt from the First Computational Paralinguistics Challenge”, Computer Speech and Language, vol. 53, pp. 156-180, 2019.

Conference Proceedings

• G Roffo, D B  Vo, A Sorrentino, M Rooksby, M Tayarani, S Di Folco, H Minnis, S Brewster, and A Vinciarelli, “Automating the Administration and Analysis of Psychiatric Tests: The Case of Attachment in School Age Children“, ACM Conference on Human Factors in Computing Systems (CHI), Glasgow, UK, May 2019.

• M Rooksby, D-B Vo, J Rooksby, M Tayarani, R Huan, A Vinciarelli, H Minnis and S Brewster, “Design-for-error for a Stand-alone Child Attachment Assessment Tool“, CHI Extended Abstracts, Glasgow, UK, May 2019.

• O Perepelkina and A Vinciarelli “Social and Emotion AI: The Potential for Industry Impact“, IEEE International Conference on Affective Computing and Intelligent Interaction (ACII) Workshop, Cambridge, UK, September 2019.

2018

Book Chapter(s)

• A Vinciarelli, A Esposito, M Tayarani, G Roffo, F Scibelli, F Perrone, D B Vo, “We are less free than how we think: Regular patterns in nonverbal communication”, in Multimodal Behavior Analysis in the Wild, X Alameida-Pineda, E Ricci, N Sebe (eds.), Academic Press, pp. 269-288, 2018.

• A Vinciarelli, A Esposito, “Multimodal Analysis of Social Signals”, in The Handbook of Multimodal-Multisensor Interfaces, Volume 2: Signal Processing, Architectures, and Detection of Emotion and Cognition, S.Oviatt, B.Schuller, P.Cohen, D.Sonntag, G.Potamianos, A.Kruger (eds.), pp. 203-226, 2018.

• A Mendiratta, F Scibelli, A M Esposito, V Capuano, L Likforman-Sulem, M N Maldonato, A Vinciarelli, A Esposito, “Automatic Detection of Depressive States from Speech”, in A Esposito, M Faudez-Zanuy, F Morabito, E Pasero (eds.), Multidisciplinary Approaches to Neural Computing. Smart Innovation, Systems and Technologies, pp. 301-314, Springer Verlag, 2018.

Conference Proceedings

• A Deshmukh, B Craenen, A Vinciarelli, M E Foster, “Shaping Robot Gestures to Shape Users’ Perception: The Effect of Amplitude and Speed on Godspeed Ratings”, International Conference on Human-Agent Interaction (HAI), Southampton, UK, December 2018.

• D Saggese, G Cordasco, M N Maldonato, N Bourbakis, A Vinciarelli, A Esposito, “Power Poses Affect Risk Tolerance and Skin Conductance Levels”, IEEE International Conference on Tools with Artificial Intelligence, Volos, Greece, November 2018.

• A Deshmukh, B Craenen, M E Foster, A Vinciarelli, “The More I Understand it, the Less I Like it: The Relationship Between Understandability and Godspeed Scores for Robotic Gestures”, IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), Nanjing, China, August 2018.

• B Craenen, A Deshmukh, M E Foster, A Vinciarelli, “Do We Really Like Robots that Match our Personality? The Case of Big-Five Traits, Godspeed Scores and Robotic Gestures”, IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), Nanjing, China, August 2018.

• B Craenen, A Deshmukh, M E Foster, A Vinciarelli, “Shaping Gestures to Shape Personalities: The Relationship Between Gestures Parameters, Attributed Personality Traits and Godspeed Scores“, IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), Nanjing, China, August 2018.

• F Scibelli, G Roffo, M Tayarani, L Bartoli, G De Mattia, A Esposito, A Vinciarelli, “Depression Speaks: Automatic Discrimination Between Depressed and Non-Depressed Speakers Based on Nonverbal Speech Features”, IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), Calgary, Canada, 2018.

• B G W Craenen, A Deshmukh, M E Foster, A Vinciarelli, “Shaping Gestures to Shape Personality: Big-Five Traits, Godspeed Scores and the Similarity-Attraction Effect“, ACM International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Stockholm, Sweden, July 2018.

2017

Book Chapter(s)

• J K Burgoon, M Pantic, N Thalmann and A Vinciarelli (eds.), “Social Signal Processing”, Cambridge University Press, 2017.

• A Vinciarelli, “Social Signal Processing for Automatic Role Recognition“, in Social Signal Processing, J K Burgoon, M Pantic, N Magnenat-Thalmann (eds.), pp. 225-233, 2017.

• A Vinciarelli, “Social Signal Processing for Conflict Analysis and Measurement”, in Social Signal Processing, J K Burgoon, M Pantic, N Magnenat-Thalmann (eds.), pp. 379-388, 2017.

Journals

• C Segalin, A Perina, M Cristani and A Vinciarelli, “The Pictures we Like are our Image: Continuous Mapping of Favorite Pictures into Self-Assessed and Attributed Personality Traits“, IEEE Transactions on Affective Computing, vol. 8(2), 268-285, 2017.

Conference Proceedings

• G Roffo, S Melzi, U Castellani, A Vinciarelli, “Infinite Latent Feature Selection: A Probabilistic Latent Graph-Based Ranking Approach”, IEEE International Conference on Computer Vision (ICCV), Venice, Italy, 2017.

2016

Book Chapter(s)

• F D’Errico, I Poggi, A Vinciarelli, L Vincze (eds.), “Conflict and Multimodal Communication”, Springer Verlag, 2016.

• F Scibelli, A.Esposito and A Vinciarelli, “A Pilot Study on the Decoding of Dynamic Emotional Expressions in Major Depressive Disorder”, in Advances in Neural Networks, S Bassis, A Esposito, C F Morabito and A Esposito (eds.), Springer Verlag, pp. 189-200, 2016.

• A Vinciarelli, “Computing Technologies for Social Signals” in Emotions and Personality in Personalized Services, M Tkalčič, B De Carolis, M de Gemmis, A Odić, A Košir (eds.), pp. 101-118, 2017.

• A Vinciarelli, “On the Significance of Speech Pauses in Depressive Disorders: Results on Read and Spontaneous Narratives”, in “Recent Advances in Nonlinear Speech Processing“, A Esposito, M Faundez-Zanuy, A M Esposito, G Cordasco, T Drugman, J Sole-Casals, F C Morabito (eds.), Springer Verlag, pp. 73-82, 2016.

• A Vinciarelli, “Social Perception in Machines: The Case of Personality and the Big-Five Traits”, in Recent Advances in Nonlinear Speech Processing, A Esposito, L C Jain (eds.), Springer Verlag, pp. 151-164, 2016.

Journals

• F Scibelli, A Troncone, L Likforman-Sulem, A Vinciarelli, A Esposito, “How Major Depressive Disorder Affects the Ability to Decode Multimodal Dynamic Emotional Stimuli“, Frontiers in Information and Communication Technologies, 3:16, 2016.

Conference Proceedings

• X Xiong, M Filippone, A Vinciarelli, “Looking Good with Flickr Faves: Gaussian Processes for Finding Difference Makers in Personality Impressions”, ACM International Conference on Multimedia (ICMI), Tokyo, Japan, November 2016.

• A Esposito, A M Esposito, M Esposito, M.T.Riviello, A.Vinciarelli, N.Bourbakis, “Effects of Emotional Visual Scenes on the Ability to Decode Emotional Melodies”, IEEE International Conference on Tools with Artificial Intelligence, San Jose, USA, November 2016.