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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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Niki van Stein
Leiden University
Netherlands
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Brief Bio
Niki van Stein is a researcher in the Natural Computing Group of LIACS and manager of the applied data science lab. She received her PhD in Computer Science from Leiden University in 2018. Niki's research interests are in explainable AI for optimization and machine learning, global (Bayesian) optimization and neural architecture search.
Doctoral Consortium Co-Chairs
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Maïssa Abdallah
ESEO
France
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Brief Bio
Maissa Abdallah is an associate professor at ESEO in Angers, France, a graduate engineering school specializing in electronics, computer science, networking, and telecommunications. She holds an engineering degree in Computer Science from the University of Technology of Compiegne (France) and earned her PhD in Real-Time Systems from the University of Nantes in 2014.Since 2024, her research has focused on biomedical applications, with a particular interest in classification methods and feature selection
techniques aimed at improving the predictive performance and interpretability of models applied to healthc
are data.
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Daniela Barreiro Claro
Universidade Federal da Bahia (UFBA)
Brazil
http://formas.ufba.br/dclaro
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Brief Bio
Daniela B. Claro is a Full Professor at the Federal University of Bahia (Brazil). She earned a degree in Computer Science from Salvador University (1998) and obtained her Master's degree in Computer Science from the Federal University of Santa Catarina (2000) and her
Ph.D. in Computer Science - Université d'Angers - ESEO / France (2006). In 2009, she founded the FORMAS - Research Center on Data and Natural Language at CNPQ and she was its leader during the last 15 years, promoting research on Data Intelligence and Natural
Language Processing covering Semantic and Pragmatic approaches from Texts, Cloud
s, and Devices. Her main research areas are Semantic and Pragmatic Data Interoperability challenges, particularly Open Information Extraction, working with single and multilingual
solutions.
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