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Francesco Marcelloni
University of Pisa
Italy
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Brief Bio
Francesco Marcelloni is full professor of Data Mining and Machine Learning at the University of Pisa. His main research interests include explainable artificial intelligence, federated learning, data mining for big data and streaming data, sentiment analysis and opinion mining, genetic fuzzy systems, and fuzzy clustering algorithms. He has co-edited three volumes, four journal special issues, and is (co-)author of a book and of more than 250 papers in international journals, books and conference proceedings. Recently, he has received the 2021 IEEE Transactions on Fuzzy Systems Outstanding Paper award and the 2022
IEEE Computational Intelligence Magazine Outstanding Paper award. He serves as associate editor of IEEE Transactions on Fuzzy Systems (IEEE), Information Sciences (Elsevier), Soft Computing (Springer), and is on the editorial board of a number of other international journals.
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Pietro Ducange
University of Pisa
Italy
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Brief Bio
Pietro Ducange received the M.Sc. degree in Computer Engineering and the Ph.D. degree in Information Engineering from the University of Pisa in 2005 and 2009, respectively. Currently, he is an associate professor of Information Systems and Technologies at the University of Pisa, Italy. He teaches Large Scale and Multi Structured Databases, Intelligent Systems and Big Data Management. He is a senior member of the AI-R&D research Group at the Department of Information Engineering. Moreover, he is a member of the Big Data, Cloud Computing and Cybersecurity Lab and of the Trustworthy and Embodied Intelligence Lab of
the same department. His main research interests include explainable artificial intelligence, big data mining, social sensing and sentiment analysis. He has been involved in several R&D projects in which data mining and computation intelligence algorithms have been successfully employed. He has co-authored over 100 papers in international journals and conference proceedings. He organized several workshops, special sessions, tutorials and special issues on Trustworthy AI and its application in engineering fields.
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