Guidotti Riccardo
Riccardo Guidotti was born in 1988 in Pitigliano (GR) Italy. In 2013 and 2010 he graduated cum laude in Computer Science (MS and BS) at University of Pisa. He received the PhD in Computer Science with a thesis on Personal Data Analytics in the same institution. He is currently an Assistant Professor (RTD-B) at the Department of Computer Science University of Pisa, Italy and a member of the Knowledge Discovery and Data Mining Laboratory (KDDLab), a joint research group with the Information Science and Technology Institute of the National Research Council in Pisa. He won the IBM fellowship program and has been an intern in IBM Research Dublin, Ireland in 2015. His research interests are in personal data mining, clustering, explainable models, analysis of transactional data.
Topics:
Explainable Models
Personal Anaytics
Clustering
Analysis of Transactional Data
IBM Fellowship Award 2014
ISTI Young Researcher Award 2016
ISTI Young Researcher Award 2017
ISTI Young Researcher Award 2018
NGDS Award 2018
ISTI Young Researcher Award 2019
2017 PhD in Computer Science at University of Pisa
2014 CAE - Cambridege English Certificate
2013 Master Degree in Computer Science at University of Pisa with 110/110 cum laude
2012 FCE - Cambridege English Certificate
2010 Bachelor Degree in Computer Science at University of Pisa with 110/110 cum laude
"... na volta si diceva i dati so' tanti ... adesso si dice BigData ..."
- Position
- Assistant Professor
- Affiliation
- Department of Computer Science, University of Pisa (DI-UNIPI)
- Room
- 286
- Floor
- 2
- Gate
- 20
- Phone
- 050 221 3134
- Skype
- ric.guidotti
- Google Scholar
- Riccardo Guidotti on Google Scholar
- DBLP
- Riccardo Guidotti on DBLP
- Scopus
- Riccardo Guidotti on Scopus
- Riccardo Guidotti on LinkedIn
- Riccardo Guidotti on Facebook
- Riccardo Guidotti on Twitter
Projects
- 1 of 2
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Publications
2022
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, “Explaining Siamese Networks in Few-Shot Learning for Audio Data”, in Discovery Science - 25th International Conference, DS 2022, Montpellier, France, October 10-12, 2022, Proceedings, 2022.
2021
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, “Benchmarking and Survey of Explanation Methods for Black Box Models”, CoRR, vol. abs/2102.13076, 2021.
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, “GLocalX - From Local to Global Explanations of Black Box AI Models”, vol. 294, p. 103457, 2021.
2020
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, “Analysis and Visualization of Performance Indicators in University Admission Tests”, in Formal Methods. FM 2019 International Workshops, Cham, 2020.
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, ““Know Thyself” How Personal Music Tastes Shape the Last.Fm Online Social Network”, in Formal Methods. FM 2019 International Workshops, Cham, 2020.
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, ““Know Thyself” How Personal Music Tastes Shape the Last.Fm Online Social Network”, in Formal Methods. FM 2019 International Workshops, Cham, 2020.
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, “Explaining Sentiment Classification with Synthetic Exemplars and Counter-Exemplars”, in Discovery Science, Cham, 2020.
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, “Global Explanations with Local Scoring”, in Machine Learning and Knowledge Discovery in Databases, Cham, 2020.
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, “Prediction and Explanation of Privacy Risk on Mobility Data with Neural Networks”, in ECML PKDD 2020 Workshops, Cham, 2020.
