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Giuseppe Riccardi

Giuseppe Riccardi

D-Index & Metrics

Computer Science

D-Index
52
Citations
9974
World Ranking
5121
National Ranking
109

Overview

Giuseppe Riccardi is affiliated with the University of Trento in Italy and conducts research primarily in the fields of Computer Science and Psychology, focusing on Artificial Intelligence and Cognitive Neuroscience among other subfields. Their work spans a broad spectrum of topics related to language technology, brain-computer interfaces, and psychological assessments through computational methods.

The main areas of study for Riccardi include:

  • Computer Science (39 publications)
  • Psychology (17 publications)

Riccardi's subfields of study reflect interdisciplinary interests and include:

  • Artificial Intelligence (36 publications)
  • Cognitive Neuroscience (13 publications)
  • Experimental and Cognitive Psychology (7 publications)
  • Social Psychology (4 publications)
  • Cardiology and Cardiovascular Medicine (4 publications)

Their research topics are centered around:

  • Topic Modeling (20 publications)
  • Natural Language Processing Techniques (14 publications)
  • EEG and Brain-Computer Interfaces (12 publications)
  • Speech and dialogue systems (10 publications)
  • Functional Brain Connectivity Studies (8 publications)
  • ECG Monitoring and Analysis (8 publications)
  • Sentiment Analysis and Opinion Mining (8 publications)

Riccardi has a consistent record of publishing in various venues. They have contributed notably to arXiv with 19 publications, and have also published in specialized journals and conferences such as:

  • JMIR Mental Health
  • JMIR Formative Research
  • Artificial Intelligence in Medicine
  • Proceedings of the International AAAI Conference on Web and Social Media

Recent papers include:

  • "Personality Traits Recognition on Social Network - Facebook," 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • "Assessing the Impact of Conversational Artificial Intelligence in the Treatment of Stress and Anxiety in Aging Adults: Randomized Controlled Trial," 2022, JMIR Mental Health
  • "A Conversational Artificial Intelligence Agent for a Mental Health Care App: Evaluation Study of Its Participatory Design," 2021, JMIR Formative Research
  • "Evaluation of interpretability for deep learning algorithms in EEG emotion recognition: A case study in autism," 2023, Artificial Intelligence in Medicine
  • "Facial Emotions Are Accurately Encoded in the Neural Signal of Those With Autism Spectrum Disorder: A Deep Learning Approach," 2021, Biological Psychiatry Cognitive Neuroscience and Neuroimaging

The scientist frequently collaborates with other researchers, with notable co-authors including:

  • Seyed Mahed Mousavi (13 joint publications)
  • Gabriel Roccabruna (7 joint publications)
  • Juan Manuel Mayor Torres (6 joint publications)
  • Matthew D. Lerner (6 joint publications)
  • Massimo Rizzoli (6 joint publications)

Best Publications

  • How may I help you

    A. L. Gorin;G. Riccardi;J. H. Wright

  • Grammar fragment acquisition using syntactic and semantic clustering

    Kazuhiro Arai;Jeremy H. Wright;Giuseppe Riccardi;Allen L. Gorin

  • System for handling frequently asked questions in a natural language dialog service

    Narendra K. Gupta;Mazin G. Rahim;Giuseppe Riccardi

  • Generative and Discriminative Algorithms for Spoken Language Understanding

    Christian Raymond;Giuseppe Riccardi

  • Automatic clustering of tokens from a corpus for grammar acquisition

    Srinivas Bangalore;Giuseppe Riccardi

  • Active learning: theory and applications to automatic speech recognition

    G. Riccardi;D. Hakkani-Tur

  • Beyond ASR 1-best: Using word confusion networks in spoken language understanding

    Dilek Z. Hakkani-Tür;Frédéric Béchet;Giuseppe Riccardi;Gökhan Tür

  • Computing consensus translation from multiple machine translation systems

    B. Bangalore;G. Bordel;G. Riccardi

  • Active learning for automatic speech recognition

    Dilek Hakkani-Tur;Giuseppe Riccardi;Allen Gorin

  • Automated natural spoken dialog

    A.L. Gorin;A. Abella;G. Riccardi;J.H. Wright

  • Method and system for automatically detecting morphemes in a task classification system using lattices

    Allen Louis Gorin;Dijana Petrovska-Delacretaz;Giuseppe Riccardi;Jeremy Huntley Wright

  • Spoken language understanding

    R. De Mori;F. Bechet;D. Hakkani-Tur;M. McTear

  • Automatic generation of superwords

    Allen Louis Gorin;Giuseppe Riccardi

  • Using Context to Improve Emotion Detection in Spoken Dialog Systems

    Jackson Liscombe;Giuseppe Riccardi;Dilek Z. Hakkani-Tür

  • The AT&T spoken language understanding system

    N. Gupta;G. Tur;D. Hakkani-Tur;S. Bangalore

  • Voice-enabled dialog system

    Giuseppe Di Fabbrizio;Dawn L Dutton;Narendra K. Gupta;Barbara B. Hollister

  • Stochastic automata for language modeling

    Giuseppe Riccardi;Roberto Pieraccini;Enrico Bocchieri

  • Unsupervised and active learning in automatic speech recognition for call classification

    D. Hakkani-Tur;G. Tur;M. Rahim;G. Riccardi

  • Comparing Stochastic Approaches to Spoken Language Understanding in Multiple Languages

    S Hahn;M Dinarelli;C Raymond;F Lefevre

  • Convolution Kernels on Constituent, Dependency and Sequential Structures for Relation Extraction

    Truc-Vien T. Nguyen;Alessandro Moschitti;Giuseppe Riccardi

Frequent Co-Authors

Dilek Hakkani-Tur
Dilek Hakkani-Tur University of Illinois at Urbana-Champaign
Allen Louis Gorin
Allen Louis Gorin AT&T (United States)
Gokhan Tur
Gokhan Tur Amazon (United States)
Srinivas Bangalore
Srinivas Bangalore Interactions LLC
Alessandro Moschitti
Alessandro Moschitti Amazon (United States)
Roberto Pieraccini
Roberto Pieraccini Google (United States)
Alexandros Potamianos
Alexandros Potamianos National Technical University of Athens
Massimo Poesio
Massimo Poesio Queen Mary University of London
Shrikanth S. Narayanan
Shrikanth S. Narayanan University of Southern California
Nicu Sebe
Nicu Sebe University of Trento

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