1. Mayor-Torres J., Medina-DeVillers S., Clarkson T., Lerner M.D., Riccardi G. , Evaluation of interpretability for deep learning algorithms in EEG emotion recognition: a case study in autism , Artificial Intelligence in Medicine, Volume 143, 2023 .

  2. Danieli M., Ciulli T., Mousavi M. Silvestri G., Barbato S. Di Natale L. and Riccardi G., Assessing the Impact of Conversational AI in the Treatment of Stress and Anxiety in Ageing Persons: A Randomized Controlled Trial Study , Journal of Medical Internet Research (JMIR) Mental Health, Vol 9, No 9, 2022 .

  3. Mayor-Torres J., Clarkson T., Hauschild K., Luhmann C. C., Lerner D. M. and Riccardi G., Facial emotions are accurately encoded in the brains of those with autism: A deep learning approach, Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, Volume 7, Issue 7, Pages 688-695 2022 .

  4. Danieli M., Ciulli T, Mousavi M. and Riccardi G., A Participatory Design of Conversational Artificial Intelligence Agents for Mental Healthcare, Journal of Medical Internet Research (JMIR) Formative Research, Vol 5, No 12, 2021 .

  5. Chowdhury S. A., Stepanov E. A., Danieli M. and Riccardi G.,Automatic Classification of Speech Overlaps: Feature Representation and Algorithms, Computer Speech and Language, May , v. 55, pp. 145-167, 2019.

  6. Alam F., Danieli M. and Riccardi G.,Annotating and Modeling Empathy in Spoken Conversations, Computer Speech and Language, July , v. 50, pp. 40-61, 2018.

  7. Stepanov A. E., Chowdhury A. S., Bayer A. O., Ghosh A., Klasinas I., Calvo M., Sanchis E. and Riccardi G. , “Cross-Language Transfer of Semantic Annotation via Targeted Crowdsourcing: Task Design and Evaluation”, Language Resources and Evaluation, 52: 341. , Springer, 2018

  8. Mogessie A. M., Ronchetti M., Riccardi G., “Exploring the Role of Online Peer-Assessment as a Tool of Early Intervention”, In Wu, Gennari, Huang, Xie and Cao Y. (eds) Emerging Technologies for Education, Lecture Notes in Computer Science, vol 10108, pp. 635-644, 2017.

  9. Bayer A. O. and Riccardi G.,Semantic language models with deep neural networks, Computer Speech and Language, May , v. 40, pp. 1-22, 2016.

  10. Riccardi G., Bechet F., Danieli M., Favre B., Gaizauskas R., Kruschwitz and Poesio M., ”The SENSEI Project: Making Sense of Human Conversations”, Lecture Notes on Artificial Intelligence, J.F. Quesada et al. ( Eds) , vol. 9577, pp. 10-33, 2016.

  11. Celli F., Ghosh A., Alam F. and Giuseppe Riccardi, “In the mood for Sharing Contents: Emotions, personality and interaction styles in the diffusion of news”, Information Processing and Management, Nov 2015,

  12. Vinciarelli A., Esposito A., Andre’ E., Bonin F., Chetouani M., Cohn F. J., Cristani M., Fuhrmann F., Gilmartin E., Hammal Z., Heylen D., Kaiser R., Koutsombogera M., Potamianos A., Renals S., Riccardi G., Salah A. G. “Open Challenges in Modelling, Analysis and Synthesis of Human Behaviour in Human-Human and Human-Machine Interactions”, Cognitive Computation, pp. 1-17, April 2015.

  13. Griol D., Callejas Z., Lopez-Cozar R. and Riccardi G. , A Domain-Independent Statistical Methodology for Dialog Management in Spoken Dialog Systems, Computer Speech and Language, v. 28, pp. 743-768, 2014. ISCA Best Paper Award

  14. Dinarelli M., Moschitti A. and Riccardi G., `Discriminative Reranking for Spoken Language Understanding,’’ IEEE Trans. on Audio, Speech and Language Processing, vol. 20, no. 2, pp. 526-539, 2012.

  15. Han S., Dinarelli M., Raymond C., Lefevre F., Lehnen, P., De Mori R., A. Moschitti, Ney H. and Riccardi G., `Comparing Stochastic Approaches to Spoken Language Understanding in Multiple Languages,'' IEEE Trans. on Audio, Speech and Language Processing, vol. 19, no. 6, pp. 1569-1583, 2011.

  16. De Mori R., Bechet F., Hakkani-Tur D., McTear M., Riccardi G. and Tur. G., ``Spoken Language Understanding'', IEEE Signal Processing Magazine vol. 25, pp.50-58 ,2008.

  17. Riccardi G. and Baggia P., ``Spoken Dialog Systems: From Theory to Technology`` SIGNUM, pp.9-20, vol. 2, Edizione della Normale di Pisa, 2006.

  18. Hakkani-Tur D., Riccardi G. and Tur G., ``An Active Approach to spoken Language Processing'', ACM Transactions on Speech and Language Processing, Vol. 3, No. 3, pp 1-31,  2006.

  19. Hakkani-Tur D., Bechet F., Riccardi, G. and Tur G., ``Beyond ASR 1-Best: Using Word Confusion Network'', Computer Speech and Language,  volume 20, Issue 4, pp. 495-514, 2006.

  20. Riccardi, G. and Hakkani-Tur D., ``Grounding Emotions in Human-Machine Conversational Systems '', Lecture Notes in Computer Science, Springer-Verlag, , pp. 144 – 154,  2005.

  21. Gupta N., Tur G., Hakkani-Tur D., Bangalore S, Riccardi G. and Rahim M., ``The AT&T Spoken Language Understanding System,'' IEEE Trans. on Audio, Speech and Language Processing, volume 14, Issue 1, pp. 213-22, 2006.

  22. Riccardi, G. and Hakkani-Tur D., ``Active Learning: Theory and Applications to Automatic Speech Recognition,'' IEEE Trans. on Speech and Audio, vol. 13,  n.4 , pp. 504-511,  2005. IEEE Signal Processing Best Paper Award

  23. Potamianos A., Narayanan S and Riccardi, G. , ``Adaptive Categorical Understanding for Spoken Dialogue Systems'' IEEE Trans. on Speech and Audio, vol. 13,  n.3 , pp. 321-329,  2005.

  24. Bangalore S. and G. Riccardi, ``Stochastic Finite-State Models for Spoken Language Machine Translation'',  Machine Translation , vol 17, n. 3, pp. 165-184, 2002 (Invited paper).

  25. Gorin A, Abella A, Alonso T., Riccardi G., and Wright J., `` Automated Natural Spoken Dialog, '' IEEE Computer, vol. 35, n.4, pp. 51-56, April, 2002 (invited paper)

  26. Rose R. C., Yao H., Riccardi G. and Wright J. H., ``Integration of Utterance Verification with Statistical Language Modeling and Spoken Language Understanding, '' Speech Communication, 34, pp. 321-331, 2001.

  27. Rahim M., Riccardi G., Saul L., Wright J., Buntschuh B. and Gorin A. L., ``Robust Numeric Recognition in Spoken Language Dialogue, '' Speech Communication, 34, pp. 195-212, 2001.

  28. Riccardi, G. and Gorin, A. L., ``Spoken language adaptation over time and state in a natural spoken dialog system,'' IEEE Trans. on Speech and Audio, vol. 8, pp. 3-10,  2000.

  29. Arai, K., Wright, J. H., Riccardi, G. and Gorin, A. L., ``Grammar fragment acquisition using syntactic and semantic clustering,'' Speech Communication, vol. 27, no. 1, Jan. 1999.

  30. Gorin, A. L., Riccardi, G. and Wright, J. H., ``How may I help you?,'' Speech Communication, vol. 23, Oct. 1997, pp. 113-127.

  31. Riccardi, G., Pieraccini, R. and Bocchieri, E., ``Stochastic automata for language modeling,'' Computer Speech and Language, vol. 10(4), 1996, pp. 265-293.

  32. Bocchieri, E., Levin, E., Pieraccini, R. and Riccardi, G., ``Understanding spontaneous speech,'' J. of the Italian Assoc. of Artificial Intelligence, Sept. 1995.

  33. Mumolo, E., Rebelli, A. and Riccardi, G., ``Improved multipulse algorithm for speech coding by means of adaptive Boltzmann annealing,'' European Transactions on Telecommunications, vol. 5, no. 6, Nov. 1994.

  34. Mian, G. A. and Riccardi, G., ``A localization property of line spectrum pairs,'' IEEE Trans. on Speech and Audio Proc., vol. 2, no. 4, pp. 536-539, Oct. 1994.

  35. Fratti, M., Mian, G. A. and Riccardi, G., ``An approach to parameter reoptimization in multipulse based coders,'' IEEE Trans. Speech & Audio Proc., vol. 1, no. 4, pp. 463-465, Oct. 1993.

RapidWeaver Icon

Made in RapidWeaver