Publications

In total, I published 169 works, including one authored book (two editions), 7 edited books, 27 book chapters, 47 journal articles and 89 conference papers.

Most of the works can be downloaded from my Google Scholar profile.

Journal Articles

  1. A.Esposito, M.Cuciniello, T.Amorese, G.Cordasco and A.Vinciarelli, “Humanoid and android robots in the imaginary of adolescents, young adults and seniors“, Journal of Ambient Intelligence and Humanized Computing, to appear, 2022.
  2. 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, No. 3, pp. 390-399, 2022.
  3. 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, No. 1, pp. 108-121, 2022.
  4. 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.
  5. 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, Vol. 43, No. 12, pp. 4396-4410, 2021.
  6. 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.
  7. 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“, accepted for publication by Cognitive Computation, 2021.
  8. M.Cristani, A. Del Bue, V.Murino, F.Setti, A.Vinciarelli, “The Visual Social Distancing Problem“, IEEE Access, Vol. 8, pp. 126876-126886, 2020.
  9. M.Aylett, M.Wester and A.Vinciarelli, “Speech Synthesis for the Generation of Artificial Personality“, IEEE Transactions on Affective Computing, Vol. 11, No. 2, pp. 361-372, 2020.
  10. 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, No. 5, pp. 278-292, 2020.
  11. 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.
  12. 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.
  13. 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, No. 2, 268-285, 2017.
  14. 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.
  15. M.Guillemot, J.-M.Odobez, A.Vinciarelli, S.Ingram, “Klewel Webcast: From Research to Growing Company“, IEEE Multimedia, Vol. 22, No. 4, pp. 94-99, 2015.
  16. A.Vinciarelli and A.Pentland, “New Social Signals in a New Interaction World: The Next Frontier for Social Signal Processing“, IEEE Systems, Man and Cybernetics Magazine, Vol. 1, No. 2, pp. 10-17, 2015.
  17. A.Vinciarelli, E.Chatziioannou and A.Esposito, “When the Words are not Everything: The Use of Laughter, Fillers, Back-Channel, Silence and Overlapping Speech in Phone Calls“, Frontiers in Information and Communication Technology, 2:4, 2015.
  18. A.Vinciarelli, A.Esposito, E.Andre’, F.Bonin, M.Chetouani, J.F.Cohn, M.Cristani, F.Fuhrmann, E.Gilmartin, Z.Hammal, D.Heylen, R.Kaiser, M.Koutsombogera, A.Potamianos, S.Renals, G.Riccardi, A.A.Salah, “Open Challenges in Modelling, Analysis and Synthesis of Human Behaviour in Human–Human and Human–Machine Interactions“, Cognitive Computation, Vol. 7, no. 4, pp. 397-413, 2015.
  19. B.Schuller, S.Steidl, A.Batliner, E.Noth, A.Vinciarelli, F.Burkhardt, R.van Son, F.Weninger, F.Eyben, T.Bocklet, G.Mohammadi, B.Weiss, “Survey on Perceived Speaker Traits: Personality, Likability, Pathology, and the First Challenge“, Computer Speech and Language, Vol. 29, no. 1, pp. 100-131, 2015.
  20. A.Vinciarelli and G.Mohammadi, “More Personality in Personality Computing“, IEEE Transactions on Affective Computing, Vol. 5, no. 3, pp. 297-300, 2014.
  21. A.Vinciarelli and G.Mohammadi, “A Survey of Personality Computing“, IEEE Transactions on Affective Computing, Vol. 5, no. 3, pp. 273-291, 2014.
  22. A.Vinciarelli, H.Salamin and A.Polychroniou, “Negotiating over Mobile Phones: Calling or Being Called Can Make the Difference“, Cognitive Computation, Vol. 6, no. 4, pp. 677-688, 2014.
  23. S.Kim, M.Filippone, F.valente and A.Vinciarelli, “Predicting Continuous Conflict Perception with Bayesian Gaussian Processes“, IEEE Transactions on Affective Computing, Vol. 5, no. 2, pp. 187-200, 2014.
  24. D.S. Cheng, H.Salamin, P.Salvagnini, M.Cristani, A.Vinciarelli and V.Murino, “Predicting Online Lecture Ratings Based on Gesturing and Vocal Behavior“, Journal on Multimodal User Interfaces, Vol. 8, no. 2, pp. 151-160, 2014.
  25. G.Mohammadi and A.Vinciarelli, “Automatic Personality Perception: Prediction of Trait Attribution Based on Prosodic Features“, IEEE Transactions on Affective Computing, Vol. 3, no. 3, pp. 273-284, 2012.
  26. A.Pesarin, M.Cristani, V.Murino and A.Vinciarelli, “Conversation Analysis at Work: Detection of Conflict in Competitive Discussions through Automatic Turn-Organization Analysis“, Cognitive Processing, Vol. 13, no. 2, pp. 533-540, 2012.
  27. A.Vinciarelli, M.Pantic, D.Heylen, C.Pelachaud, I.Poggi, F.D’Errico and M.Schroeder, Bridging the Gap Between Social Animal and Unsocial Machine: A Survey of Social Signal Processing“, IEEE Transactions on Affective Computing, Vol. 3, no. 1, pp. 69-87, 2012.
  28. H.Salamin and A.Vinciarelli, “Automatic Role Recognition in Multiparty Conversations: an Approach Based on Turn Organization, Prosody and Conditional Random Fields“, IEEE Transactions on Multimedia, Vol. 14, no. 2, pp. 338-345, 2012.
  29. I.Poggi, F.D’Errico, and A.Vinciarelli, “Social Signals: from Theory to Applications”, Cognitive Processing, Vol. 13, No. 2, pp. 389-396, 2012.
  30. A.Vinciarelli and M.Pantic, “www.sspnet.eu: A Web Portal for Social Signal Processing“, IEEE Signal Processing Magazine, Vol. 27, no. 4, pp. 142-144, 2010.
  31. A.Vinciarelli, M.Pantic, and H.Bourlard, Social Signal Processing: Survey of an Emerging Domain“, Image and Vision Computing Journal, Vol. 27, no. 12, pp. 1743-1759, 2009.
  32. H.Salamin, S.Favre, and A.Vinciarelli, Automatic Role Recognition in Multiparty Recordings: Using Social Affiliation Networks for Feature Extraction“, IEEE Transactions on Multimedia, Vol. 27, no. 12, pp. 1373-1380, 2009.
  33. M.Pantic and A.Vinciarelli, “Implicit Human-Centered Tagging“, IEEE Signal Processing Magazine, Vol. 26, no. 6, pp. 173-180, 2009.
  34. A.Vinciarelli, “Capturing Order in Social Interactions, IEEE Signal Processing Magazine, Vol. 26, no. 5, pp. 133-137, 2009.
  35. A.Vinciarelli, Speakers Role Recognition in Multiparty Audio Recordings Using Social Network Analysis and Duration Distribution Modeling“, IEEE Transactions on Multimedia, Vol. 9, no. 6, pp. 1215-1226, 2007.
  36. A.Vinciarelli and J-M.Odobez, “Application of Information Retrieval Technologies to Presentation Slides“, IEEE Transactions on Multimedia, Vol. 8, no. 5, pp. 981-995, 2006.
  37. A.Vinciarelli, “Noisy Text Categorization“, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 27, no. 12, pp. 1882-1295, 2005.
  38. A.Vinciarelli, “Application of Information Retrieval Techniques to Single Writer Documents“, Pattern Recognition Letters, Vol. 26, no. 14-15, pp. 2262-2271, 2005.
  39. A.Vinciarelli, S.Bengio and H.Bunke, “Offline Recognition of Unconstrained Handwritten Texts Using HMMs and Statistical Language Models“, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.26, no. 6, pp. 709-720, 2004.
  40. F.Camastra and A. Vinciarelli, “Combining Neural Gas and Learning Vector Quantization for Cursive Character Recognition“, Neurocomputing, Vol. 51, pp.147-159, 2003.
  41. F.Camastra and A.Vinciarelli, “Estimating the Intrinsic Dimension of Data with a Fractal-Based Method“, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 24, no. 10, pp. 1404-1407, 2002.
  42. A.Vinciarelli, “A survey on Off-Line Cursive Script Recognition“, Pattern Recognition, Vol 35, no. 7, pp 1433-1446, 2002.
  43. A.Vinciarelli and S.Bengio, “Writer adaptation techniques in HMM based Off-Line Cursive Script Recognition“, Pattern Recognition Letters, Vol 23, no. 8, pp 905-916, 2002.
  44. F.Camastra and A.Vinciarelli, Intrinsic dimension estimation of data: an approach based on Grassberger-Procaccia’s algorithm“, Neural Processing Letters, Vol.14, no. 1, 2001.
  45. A.Vinciarelli and J.Luettin, “A new normalization technique for cursive handwritten words“, Pattern Recognition Letters, Vol. 22, no. 9, pp 1043-1050, 2001.
  46. F.Camastra and A.Vinciarelli, “Cursive Character Recognition by Learning Vector quantization“, Pattern Recognition Letters, Vol. 22, no. 6-7, pp. 625-629, 2001.
  47. F.Camastra and A.Vinciarelli, “Cursive character recognition based on neural nets“,
    Kuenstliche Intelligenz, Vol. 13, no. 2, pp. 17-19, 1999.

Conference Articles

  1. G.Rennie, O.Perepelkina and A.Vinciarelli, “Which Model is Best: Comparing Methods and Metrics for Automatic Laughter Detection in a Naturalistic Conversational Dataset“, Proceedings of Interspeech, 2022.
  2. A.Bîrlădeanu, H.Minnis and A.Vinciarelli, “Automatic Detection of Reactive Attachment Disorder Through Turn-Taking Analysis in Clinical Child-Caregiver Sessions“, Proceedings of Interspeech, 2022.
  3. H.Alsofyani and A.Vinciarelli, “Attachment Recognition in School-Age Children: A Multimodal Approach Based on Language and Paralanguage Analysis“, Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 8172-8176, 2022.
  4. R.Alsarrani, A.Esposito and A.Vinciarelli, “Thin Slices of Depression: Improving Depression Detection Performance Through Data Segmentation“, Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 6257-6261, 2022.
  5. V.Silber-Varod, A.Vinciarelli and B.Har Lev, “The business side of social signals and nonverbal communication“, Proceedings of Knowledge Management Conference, 2022.
  6. H.Alsofyani and A.Vinciarelli, “Attachment Recognition in School Age Children Based on Automatic Analysis of Facial Expressions and Nonverbal Vocal Behaviour“, Proceedings of the ACM International Conference on Multimodal Interactions, 2021.
  7. A.Buker and A.Vinciarelli, “I Feel it in Your Fingers: Inference of Self-Assessed Personality Traits From Keystroke Dynamics in Interactive Dyadic Chats“, Proceedings of the IEEE International Conference on Affective Computing and Intelligent Interactions, 2021.
  8. 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“, Proceedings of Interspeech, 2021.
  9. H.Alsofyani and A.Vinciarelli, “Stacked Recurrent Neural Networks for Speech-Based Inference of Attachment Condition in School Age Children“, Proceedings of Interspeech, 2021.
  10. N.Aloshban, A.Esposito and A.Vinciarelli, “Detecting Depression in Less Than 10 Seconds: Impact of Speaking Time on Depression Detection Sensitivity“, Proceedings of the ACM International Conference on Multimodal Interaction, 2020.
  11. D.B.Vo, S.Brewster and A.Vinciarelli, “Did the Children Behave? Investigating the Relationship Between Attachment Condition and Child Computer Interaction“, Proceedings of the ACM International Conference on Multimodal Interaction, 2020.
  12. 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“, Proceedings of Interspeech, 2020.
  13. 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” Proceedings of the IEEE International Conference on Automatic Face and Gesture Recognition, pp. 716-722, 2020.
  14. 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“, Proceedings of CHI, paper 595, pp. 1-12, 2019.
  15. M.Rooksby, D-B. Vo, J.RooksbyM.Tayarani, R.Huan, A.Vinciarelli, Helen Minnis and S.Brewster, “Design-for-error for a Stand-alone Child Attachment Assessment Tool“, CHI Extended Abstracts, paper LBW0148, pp. 1-6, 2019.
  16. O.Perepelkina and Vinciarelli “Social and Emotion AI: The Potential for Industry Impact“, Proceedings of the International Workshop on Social and Emotion AI for Industry, in conjunction with the IEEE International Conference on Affective Computing and Intelligent Interaction, pp. 364-367, 2019.
  17. D.Saggese, G.Cordasco, M.N.Maldonato, N.Bourbakis, A.Vinciarelli, A.Esposito, “Power Poses Affect Risk Tolerance and Skin Conductance Levels”, Proceedings of the IEEE International Conference on Tools with Artificial Intelligence, pp. 1033-1039, 2018.
  18. 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”, Proceedings of the Conference on Human-Agent Interaction, pp. 293-300, 2018.
  19. 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”, Proceedings of the IEEE International Symposium on Robot and Human Interactive Communication, pp. 216-221, 2018.
  20. 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”, Proceedings of the IEEE International Symposium on Robot and Human Interactive Communication, pp. 626-631, 2018.
  21. 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“, Proceedings of the IEEE International Symposium on Robot and Human Interactive Communication, pp. 699-704, 2018.
  22. 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”, Proceedings of the IEEE International Conference on Audio, Speech and Signal Processing, pp. 6842-6846, 2018.
  23. B.G.W.Craenen, A.A.Deshmukh, M.E.Foster, A.Vinciarelli, “Shaping Gestures to Shape Personality: Big-Five Traits, Godspeed Scores and the Similarity-Attraction Effect“, Proceedings of the ACM International Conference on Autonomous Agents and Multiagent Systems, pp. 2221-2223, 2018.
  24. G.Roffo, S.Melzi, U.Castellani, A.Vinciarelli, “Infinite Latent Feature Selection: A Probabilistic Latent Graph-Based Ranking Approach”, Proceedings of the IEEE International Conference on Computer Vision, pp. 1407-1415, 2017.
  25. X.Xiong, M.Filippone, A.Vinciarelli, “Looking Good with Flickr Faves: Gaussian Processes for Finding Difference Makers in Personality Impressions”, Proceedings of the  ACM International Conference on Multimedia, pp. 412-415, 2016.
  26. 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”, Proceedings of the IEEE International Conference on Tools with Artificial Intelligence, pp. 791-798, 2016.
  27. V.Solanki, J.Stuart-Smith, R.Smith and A.Vinciarelli, “Utilising Hidden Markov Modelling for the Assessment of Accommodation in Conversational Speech”, Proceedings of International Congress on Phonetic Sciences, 2015.
  28. V.Solanki, J.Stuart-Smith, R.Smith and A.Vinciarelli, “Measuring Mimicry in Task-Oriented Conversations: The More the Task is Difficult, The More we Mimick our Interlocutors”, Proceedings of Interspeech, 2015.
  29. V.Solanki, J.Stuart-Smith, R.Smith and A.Vinciarelli, “When the Game is Difficult, then it is Time for Mimicry”, Proceedings of International Conference on Nonlinear Speech Processing, 2015.
  30. A.Esposito, Filomena Scibelli, Alessandro Vinciarelli, “A pilot study on the decoding of dynamic emotional expressions in Major Depressive Disorder”, Proceedings of Workshop Italiano Reti Neurali, 2015.
  31. N.Al Moubayed, Y.Vazquez-Alvarez, A.Mc-Kay, A.Vinciarelli, “Face Based Automatic Personality Perception”, Proceedings of ACM International Conference on Multimedia, pp. 1153-1156, 2014.
  32. A.Polychroniou, H.Salamin and A.Vinciarelli, “The SSPNet Mobile Corpus: Social Signal Processing over Mobile Phones”, Proceedings of Language Resources and Evaluation Conference, pp. 1492-1498, 2014.
  33. G.Mohammadi, S.Park, K.Sagae, A.Vinciarelli and L.-P.Morency, “Who is Persuasive? The Role of Perceived Personality and Communication Modality in Social Multimedia”, Proceedings of ACM International Conference on Multimodal Interaction, pp. 19-26, 2013.
  34. H.Salamin, A.Polychroniou, A.Vinciarelli, “Automatic Detection of Laughter and Fillers in Spontaneous Mobile Phone Conversations”, Proceedings of IEEE International Conference on Systems, Man and Cybernetics, pp. 4282-4287, 2013.
  35. M.Cristani, A.Vinciarelli, C.Segalin, A.Perina, “Unveiling the Multimedia Unconscious: Implicit Cognitive Processes and Multimedia Content Analysis”, Proceedings of ACM International Conference on Multimedia, Brave New Idea Paper, pp. 213-222, 2013.
  36. G.Roffo, C.Segalin, A.Vinciarelli, V.Murino, Cristani, M., “Reading Between the Turns: Statistical Modeling for Identity Recognition and Verification in Chats”, Proceedings of IEEE International Conference on Advanced Video and Signal-Based Surveillance, pp. 99-104, 2013.
  37. F.Bonin, C.De Looze, S.Ghosh, E.Gilmartin, C.Vogel, A.Polychroniou, H.Salamin, A.Vinciarelli, N.Campbell, “Investigating Fine Temporal Dynamics of Prosodic and Lexical Accommodation”, Proceedings of Interspeech, 2013.
  38. S.Kim, F.Valente and A.Vinciarelli, “Annotation and Detection of Conflict Escalation in Political Derbates”, Proceedings of Interspeech, 2013.
  39. B.Schuller, S.Steidl, A.Batliner, A.Vinciarelli, K.Scherer, F.Ringeval, M.Chetouani, F.Weninger, F.Eyben, E.Marchi, M.Mortillaro, H.Salamin, A.Polychroniou, F.Valente, S.Kim, “The Interspeech 2013 Computational Paralinguistics Challenge: Social Signals, Conflict, Emotion, Autism”, Proceedings of Interspeech, 2013.
  40. H.Salamin, A.Polychroniou, A.Vinciarelli, “Automatic Recognition of Personality and Conflict Handling Style in Mobile Phone Conversations”, Proceedings of Workshop on Image and Audio Analysis and Multimedia Interactive Services, pp.1-4, 2013.
  41. C.Segalin, A.Pesarin, A.Vinciarelli, M.Cristani, “The Expressivity of Turn-Taking: Understanding Children Pragmatics by Hybrid Classifiers”, Proceedings of Workshop on Image and Audio Analysis and Multimedia Interactive Services, pp.1-4, 2013.
  42. A.Pesarin, M.Tait, A.Vinciarelli, C.Segalin, G.Bilancia, M.Cristani, “Generative Modelling of Dyadic Conversations: Characterization of Pragmatic Skills During Development Age”, Proceedings of Workshop on Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction, pp. 1-8, 2013.
  43. P.Salvagnini, H.Salamin, M.Cristani, A.Vinciarelli and V.Murino, “Learning How to Teach from Videolectures: Automatic Prediction of Lecture Ratings Based on Teacher’s Nonverbal Behavior”, Proceedings of IEEE International Conference on Cognitive Infocommunications, pp. 415-419, 2012.
  44. A.Esposito, M.Esposito, M.Giagkou, A.Vatakis and A.Vinciarelli, “On the Perception of Visual Durational Speech Features: A Comparison between Native and Non-native Speakers”, Proceedings of IEEE International Conference on Cognitive Infocommunications, pp. 11-15, 2012.
  45. S.Kim, M.Filippone, F.Valente and A.Vinciarelli, “Predicting the Conflict Level in Television Political Debates: an Approach Based on Crowdsourcing, Nonverbal Communication and Gaussian Processes”, Proceedings of ACM International Conference on Multimedia, pp. 793-796, 2012.
  46. G.Mohammadi, A.Origlia, M.Filippone and A.Vinciarelli, “From Speech to Personality: Mapping Voice Quality and Intonation into Personality Differences”, Proceedings of ACM International Conference on Multimedia,pp. 789-792, 2012.
  47. M.Cristani, L.Bazzani, G.Roffo, A.Vinciarelli, C.Segalin, V.Murino, “Conversationally-inspired Stylometric Features for Authorship Attribution in Instant Messaging”, Proceedings of ACM International Conference on Multimedia, pp. 1121-1124, 2012.
  48. T.Polzehl, K.Schoenenberg, S.Moeller, F.Metze, G.Mohammadi, and A.Vinciarelli, “On Speaker-Independent Personality Perception and Prediction from Speech”, Proceedings of Interspeech, Portland, 2012.
  49. B.Schuller, S.Steidl, A.Batliner, E.Noeth, A.Vinciarelli, F.Burkhardt, R.van Son, F.Weninger, F.Eyben, T.Bocklet, G.Mohammadi, B.Weiss, “The INTERSPEECH 2012 Speaker Trait Challenge”, Proceedings of Interspeech, Portland, 2012.
  50. S.Kim, F.Valente and A.Vinciarelli, “Automatic Detection of Conflicts in Spoken Conversations: Ratings and Analysis of Broadcast Political debates”, Proceedings of IEEE International Conference on Audio, Speech and Signal Processing, pp. 5089-5092, 2012.
  51. A.Vinciarelli, S.Kim, F.Valente and H.Salamin, “Collecting Data for Socially Intelligent Surveillance and Monitoring Approaches: The Case of Conflict in Competitive Conversations”, Proceedings of International Symposium on Communications, Control and Signal Processing, pp. 1-4, 2012.
  52. M.Cristani, G.Paggetti, A.Vinciarelli, L.Bazzani, G.Menegaz and V.Murino, “Towards Computational Proxemics: Inferring Social Relations from Interpersonal Distances”, Proceedings of IEEE International Conference on Social Computing, pp. 290-297, 2011.
  53. F.Valente and A.Vinciarelli, “Language-Independent Socio-Emotional Role Recognition in the AMI Meetings Corpus”, Proceedings of Interspeech, pp. 3077-3080, 2011.
  54. G.Mohammadi and A.Vinciarelli, “Humans as Feature Extractors: Combining Prosody and Personality Perception for Improved Speaking Style Recognition”, Proceedings of IEEE International Conference on Systems, Man and Cybernetics, pp. 363-366, 2011.
  55. F.Valente, A.Vinciarelli, S.H.Yella and A.Sapru, “Understanding Social Signals in Multi-party Conversations: Automatic Recognition of Socio-Emotional Roles in the AMI Meeting Corpus”, Proceedings of IEEE International Conference on Systems, Man and Cybernetics, pp. 374-379, 2011.
  56. A.A.Salah, M.Pantic and A.Vinciarelli, “Recent Developments in Social Signal Processing”, Proceedings of IEEE International Conference on Systems, Man and Cybernetics, pp. 380-385, 2011.
  57. M.Cristani, A.Pesarin, A.Vinciarelli, M.Crocco, and V.Murino, “Look at who’s talking: Voice Detection by Automatic Gesture Analysis”, in Proceedings of Constructing Ambient Intelligence, pp. 72-80, 2011.
  58. H.Salamin, G.Mohammadi, K.Truong and A.Vinciarelli, “Automatic Role Recognition Based on Conversational and Prosodic Behaviour”, Proceedings of ACM International Conference on Multimedia, pp. 847-850, 2010.
  59. G.Mohammadi, M.Mortillaro and A.Vinciarelli, “The Voice of Personality: Mapping Nonverbal Vocal Behavior into Trait Attributions”, Proceedings of the International Workshop on Social Signal Processing, pp. 17-20, 2010.
  60. F.Valente and A.Vinciarelli, “Improving Speech Processing trough Social Signals: Automatic Speaker Segmentation of Political Debates using Role based Turn-Taking Patterns”, Proceedings of International Workshop on Social Signal Processing, pp. 29-34, 2010.
  61. A.Vinciarelli, R.Murray-Smith and H.Bourlard, “Mobile Social Signal Processing: Vision and Research Issues”, Proceedings of International Workshop on Mobile HCI, pp. 513-516, 2010.
  62. A.Vinciarelli and F.Valente, “Social Signal Processing: Understanding Nonverbal Communication in Social Interactions”, Proceedings of Measuring Behavior, pp. 118-121, 2010.
  63. V.Murino, M.Cristani and A.Vinciarelli, “Socially Intelligent Surveillance and Monitoring: Analysing Social Dimensions of Physical Space”, Proceedings of International Workshop on Socially Intelligent Surveillance and Monitoring, pp. 51-58, 2010.
  64. S.Favre, A.Dielmann, and A.Vinciarelli, “Automatic Role Recognition in Multiparty Recordings Using Social Networks and Probabilistic Sequential Models”, Proceedings of ACM International Conference on Multimedia, pp. 585-588, 2009.
  65. A.Vinciarelli, N.Suditu and M.Pantic, “Implicit Human-Centred Tagging”, Proceedings of IEEE International Conference on Multimedia and Expo, pp. 1428-1431, 2009.
  66. A.Vinciarelli, H.Salamin and M.Pantic, “Social Signal Processing: Understanding Social Interaction through Nonverbal Behavior Analysis”, Proceedings of International Workshop on Computer Vision and Pattern Recognition for Human Behavior, pp. 42-49, 2009.
  67. A.Vinciarelli, M.Pantic, H.Bourlard, A.Pentland, “Social Signal Processing: State-of-the-art and Future Perspectives of an Emerging Domain”, Brave New TopicArticle, Proceedings of ACM International Conference on Multimedia, pp. 1061-1070, 2008.
  68. N.Garg, S.Favre, H.Salamin, D.Hakkani-Tur, A.Vinciarelli, “Role Recognition for Meeting Participants: an Approach Based on Lexical Information and Social Network Analysis”, Proceedings of ACM International Conference on Multimedia, pp. 693-696, 2008.
  69. A.Vinciarelli, M.Pantic, H.Bourlard, A.Pentland, “Social Signals, their Function, and Automatic Analysis: A Survey”, Proceedings of ACM International Conference on Multimodal Interfaces, pp. 61-68, 2008.
  70. S.Favre, H.Salamin, J.Dines, A.Vinciarelli, “Role Recognition in Multiparty Recordings using Social Affiliation Networks and Discrete Distributions”, Proceedings of ACM International Conference on Multimodal Interfaces, pp. 29-36, 2008.
  71. L.Likforman and A.Vinciarelli, “HMM-based Offline Recognition of Handwritten Words Crossed out with Different Kinds of Strokes”, International Conference on Frontiers in Handwriting Recognition, 2008.
  72. A.Vinciarelli and S.Favre, “Broadcast News Story Segmentation Using Social Network Analysis and Hidden Markov Models”, Proceedings of ACM International Conference on Multimedia, pp. 261-264, 2007.
  73. A.Vinciarelli, “Role Recognition in Broadcast News Using Bernoulli Distribution”, Proceedings of IEEE International Conference on Multimedia and Expo, pp. 1551-1554, 2007.
  74. A.Vinciarelli, F.Fernandez and S.Favre, “Semantic Segmentation of Radio News Using Social Network Analysis and Duration Distribution Modeling”, Proceedings of IEEE International Conference on Multimedia and Expo, pp. 779-782, 2007.
  75. A.Vinciarelli, “Indexation de documents manuscrits(invited paper)”, Colloque International Francophone sur l’Ecrit et le Document, pp. 49-54, 2006.
  76. A.Vinciarelli, “Sociometry Based Multiparty Audio Recordings Summarization”, Proceedings of International Conference on Pattern Recognition, pp. 1154-1157, 2006.
  77. F.Camastra, M.Spinetti and A.Vinciarelli, “Cursive Character Challenge: a New Benchmark for Machine Learning and Pattern Recognition”, Proceedings of International Conference on Pattern Recognition, pp. 913-916, 2006.
  78. A.Vinciarelli, “Sociometry Based Multiparty Audio Recording Segmentation”, Proceedings of IEEE International Conference on Multimedia and Expo, pp.1801-1804, 2006.
  79. N.Daddaoua, A.Vinciarelli and J.-M. Odobez, “OCR Based Slide Retrieval”, Proceedings of International Conference on Document Analysis and Recognition, pp. 945-949, 2005.
  80. D.Grangier and A.Vinciarelli, “Effect of Segmentation Method on Video Retrieval Performance”, Proceedings of IEEE International Conference on Multimedia and Expo, 2005.
  81. A.Vinciarelli, “Effect of Recognition Errors on Information Retrieval Performance”, Proceedings of International Workshop on Frontiers in Handwriting Recognition, pp. 275-279, 2004.
  82. A.Vinciarelli, “Noisy Text Categorization”, Proceedings of International Conference on Pattern Recognition, pp. 554-557, 2004.
  83. A.Vinciarelli, S.Bengio and H.Bunke, “Offline Recognition of Large Vocabulary Cursive Handwritten Text”, Proceedings of IEEE International Conference on Document Analysis and Recognition, pp. 1101-1105, 2003.
  84. A.Vinciarelli and M.Perrone, “Combining Online and Offline Handwriting Recognition”, Proceedings of IEEE International Conference on Document Analysis and Recognition, pp.844-848, 2003.
  85. M.Perrone and A.Vinciarelli, “Markov Model document Retrieval”, Proceedings of IEEE International Conference on Document Analysis and Recognition, pp.1223-1226, 2003.
  86. A.Vinciarelli and S.Bengio, “Writer adaptation techniques in HMM based Off-Line Cursive Script Recognition“, Proceedings of International Workshop on Frontiers in Handwriting Recognition, pp. 287-291, 2002.
  87. A.Vinciarelli and S.Bengio, “Offline Cursive Word Recognition Using Continuous Density HMMs Trained with PCA or ICA Features“, Proceedings of International Conference on Pattern Recognition, Vol. III, pp. 81-84, 2002.
  88. F.Camastra and A.Vinciarelli, “A Neural Cursive Character Recognizer”, Presented at Workshop Italiano Reti Neurali, 2001.
  89. A.Vinciarelli and J.Luettin, “Off-Line Cursive Script Recognition based on continuous density HMM”, Proceedings of International Workshop on Frontiers in Handwriting Recognition, pp. 493-498, 2000.

Books (Authored and Edited)

  1. J.K.Burgoon, M.Pantic, N.Thalmann and A.Vinciarelli (eds.), “Social Signal Processing”, Cambridge University Press, 2017.
  2. F.Camastra and A.Vinciarelli, “Machine Learning for Audio, Image and Video Analysis” – Second Edition, Springer Verlag, 2015.
  3. F.D’Errico, I.Poggi, A.Vinciarelli, L.Vincze (eds.), “Conflict and Multimodal Communication”, Springer Verlag, 2016.
  4. I.Poggi, F.D’Errico, L.Vincze, A.Vinciarelli (eds.), “Multimodal Communication in Political Speech Shaping Minds and Social Action”, Lecture Notes in Artificial Intelligence, Vol. 7688, Springer Verlag, 2013.
  5. A.Esposito, A.M.Esposito, A.Vinciarelli, R.Hoffmann, V.C.Mueller (eds.), “Cognitive Behavioral Systems”, Lecture Notes in Computer Science, Vol. 7403, Springer Verlag, 2012.
  6. A.Esposito, A.Vinciarelli, K.Vicsi, C.Pelachaud and A.Nijholt (eds.), “Analysis of Verbal and Nonverbal Communication and Enactment: The Processing Issues”, Lecture Notes in Computer Science, Vol. 6800, Springer Verlag, 2011.
  7. A.Ali Salah, T.Gevers, N.Sebe, A.Vinciarelli (eds.), “Human Behavior Understanding”, Lecture Notes in Computer Science, Vol. 6219, Springer Verlag, 2010.
  8. A.Vinciarelli, C.Pelachaud, R.Cowie, A.Nijholt (eds.), “Affective Computing and Intelligent Interaction – Proceedings of the Doctoral Consortium”, University of Twente Press, 2009.
  9. F.Camastra, A.Vinciarelli, “Machine Learning for Audio, Image and Video Analysis”, Springer Verlag, 2008.

Book Chapters

  1. 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.
  2. Buker, A. and Vinciarelli, A., “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.
  3. 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.
  4. A.Vinciarelli, W.Riviera, F.Dalmasso, S.Raue, Chamila 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”, pp. 83-97, 2019.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. A.Vinciarelli, “Computing Technologies for Social Signals”, in “Emotions and Personality in Personalized Services“, M.Tkalcic, B.De Carolis, M.De Gummis, A.Odic, A.Kosir (eds.), Springer Verlag, pp. 101-118, 2016.
  14. 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.
  15. 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.
  16. A.Vinciarelli, “Mobile Phones and Social Signal Processing for Analysis and Understanding of Dyadic Conversations”, in “Mobile Social Signal Processing”, R.Murray-Smith (ed.), Lecture Notes in Computer Science, Vol. 8045, Springer Verlag, pp. 1-8, 2014.
  17. F.Valente, A.Vinciarelli, “Speaker Diarization of Multi-party Conversations Using Participants Role Information: Political Debates and Professional Meetings”, in “Mobile Social Signal Processing”, R.Murray-Smith (ed.), Lecture Notes in Computer Science, Vol. 8045, Springer Verlag, pp. 22-33, 2014.
  18. A.Vinciarelli, M.Pantic “Social Signal Processing”, in “Oxford Handbook of Affective Computing”, R.Calvo, S.D’Mello, J.Gratch, A.Kappas (eds.), Oxford University Press, 2013.
  19. D.Gatica-Perez, A.Vinciarelli, J.-M.Odobez “Nonverbal Behavior Analysis”, in “Interactive Multimodal Information Management”, H.Bourlard, A.Popecsu-Belis (eds.), CRC Press, pp. 165-188, 2013.
  20. A.Vinciarelli, “From Isolated Words to Unconstrained Documents: Bringing Handwriting Recognition to the Meeting Room”, in “Interactive Multimodal Information Management”, H.Bourlard, A.Popecsu-Belis (eds.), CRC Press, pp. 285-296, 2013.
  21. M.Campo, A.Polychroniou, H.Salamin, M.Filippone, A.Vinciarelli, “Towards Causal Modeling of Human Behavior”, in “Neural Nets and Surroundings”, B.Apolloni, S.Bassis, A.Esposito, F.C.Morabito (eds.), Springer Verlag, pp. 337-344, 2013.
  22. A.Vinciarelli, H.Salamin, A.Polychroniou, G.Mohammadi, A.Origlia, “From Nonverbal Cues to Perception: Personality and Social Attractiveness”, in “Cognitve Behavioral Systems”, A.M.Esposito, A.Vinciarelli, R.Hoffmann, V.C. Mueller (eds.), Lecture Notes in Computer Science, Vol. 7403, Springer Verlag, pp. 60-72, 2012.
  23. M.Pantic, R.Cowie, F.D’Errico, D.Heylen, M.Mehu, C.Pelachaud, I.Poggi, M.Schroeder, A.Vinciarelli, “Social Signal Processing: The Research Agenda”, in “Visual Analysis of Humans” by T.B.Moeslund, A.Hilton, V.Krueger and L.Sigal (eds.), pp. 511-538, Springer Verlag, 2011.
  24. H.Salamin and A.Vinciarelli, “Introduction to Sequence Analysis for Human Behavior Understanding”, in “Computer Analysis of Human Behavior” by A.A.Salah and T.Gevers (eds.), pp. 21-40, Springer Verlag, 2011.
  25. A.Vinciarelli and G.Mohammadi, “Towards a Technology of Nonverbal Communication”, in “Affective Computing and Interaction: Psychological, Cognitive and Neuroscientific Perspectives” by D. Gokcay & G. Yildirim (eds.), pp. 133-156, IGI, 2011.
  26. H.Salamin, G.Mohammadi, K.Truong and A.Vinciarelli, “More than Words: Inference of Socially Relevant Information from Nonverbal Vocal Cues in Speech”, in “Toward Autonomous, Adaptive, and Context-Aware Multimodal Interfaces: Theoretical and Practical Issues”, A.Esposito (ed.), Lecture Notes in Computer Science, Vol. 6456, pp. 24-34, Springer Verlag, 2010.
  27. A.Ali Salah, T.Gevers, N.Sebe, A.Vinciarelli, “Challenges of Human Behavior Understanding”, in “Human Behavior Understanding”, A.Ali Salah, T.Gevers, N.Sebe, A.Vinciarelli (eds.), Lecture Notes in Computer Science, Vol. 6219, pp. 1-12, Springer Verlag, 2010.