Ruggieri Salvatore
Salvatore Ruggieri is Full Professor at the Computer Science Department of the University of Pisa, where he teaches at the Master Programme in Data Science and Business Informatics. He holds a Ph.D. in Computer Science (1999), whose thesis has been awarded by the Italian Chapter of EATCS as the best Ph.D. thesis in Theoretical Computer Science. He is a member of the KDD LAB, with research interests focused in the data mining and knowledge discovery area, including: discrimination discovery and prevention, privacy and fairness, languages and systems for modelling the process of knowledge discovery; sequential and parallel classification algorithms; web mining; and applications. He was the coordinator of Enforce, a national FIRB (Italian Fund for Basic Research) young researcher project on Computer science and legal methods for enforcing the personal rights of non-discrimination and privacy in ICT systems (2010-2014, enforce.di.unipi.it). He was the program chair of the XIII Italian Symposium on Artificial Intelligence, Pisa 10-12 December 2014.
- Position
- Full Professor
- Affiliation
- Department of Computer Science, University of Pisa (DI-UNIPI)
- Room
- 321
- Phone
- +39 050 221 2782
- Homepage
- Google Scholar
- Salvatore Ruggieri on Google Scholar
- DBLP
- Salvatore Ruggieri on DBLP
- Scopus
- Salvatore Ruggieri on Scopus
- ArnetMiner
- Salvatore Ruggieri on ArnetMiner
- Salvatore Ruggieri on LinkedIn
- Salvatore Ruggieri on Twitter
Projects
NoBIAS - Artificial Intelligence without Bias
HumanE-AI-Net - HumanE AI Network
SoBigData.eu - SoBigData: Social Mining and Big Data Ecosystem
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Publications
2023
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, “AUC-based Selective Classification”, in International Conference on Artificial Intelligence and Statistics, 25-27 April 2023, Palau de Congressos, Valencia, Spain, 2023.
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, “A Model-Agnostic Heuristics for Selective Classification”, in Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, 2023, Washington, DC, USA, February 7-14, 2023, 2023.
2022
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, “Methods and tools for causal discovery and causal inference”, WIREs Data Mining Knowl. Discov., vol. 12, 2022.
2021
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, “Estimating the Total Volume of Queries to a Search Engine”, IEEE Transactions on Knowledge and Data Engineering, pp. 1-1, 2021.
2020
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, “Explaining Sentiment Classification with Synthetic Exemplars and Counter-Exemplars”, in Discovery Science, Cham, 2020.
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, “Causal inference for social discrimination reasoning”, vol. 54, pp. 425 - 437, 2020.
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“Bias in data-driven artificial intelligence systems—An introductory survey”, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, vol. 10, p. e1356, 2020.
2019
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, “Meaningful explanations of Black Box AI decision systems”, in Proceedings of the AAAI Conference on Artificial Intelligence, 2019.
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, “On The Stability of Interpretable Models”, in 2019 International Joint Conference on Neural Networks (IJCNN), 2019.
