Researchers
- Dario Malchiodi received a Ph.D. in Computational Mathematics and Operations Research in 2000. He is Associate Professor of Computer Science at the University of Milan since 2011. In the last seven years he has spent several visiting periods as researcher at INRIA and as professor at Université Côte d'Azur. His research activities are focused on the treatment of uncertainty in machine learning, with particular focus on data-driven induction of fuzzy sets, compression of machine learning models, intelligent mining of knowledge bases, engineering applications of artificial intelligence, negative example selection in bioinformatics and application of machine learning to the biomedical, veterinary, forensic and cultural heritage fields. He co-authored mor than one hundred publications in international journals and conferences, and he participated in the activities of more than ten research projects and research groups. He currently teaches «Statistics and data analysis» and «Algorithms for massive datasets».
- Marco Frasca received the Ph.D. degree in computer science from the University of Milan in 2012. Since 2022, he is Associate Professor at the Department of Computer Science of the same university. He has been an Invited Research Visitor at several universities, including the Terrence Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, and the Institute of Molecular Biology, Johannes Gutenberg University of Mainz. He contributed to consolidate the application of Hopfield networks to classification and ranking problems with the development of single- and multi-task parametric Hopfield models. His teaching and research activities include the design and analysis of machine learning methods, with a special focus on learned data structures and compression strategies for deep neural networks.
- Anna Maria Zanaboni graduated in Computer Science from the University of Milan and she pursued Ph.D. studies in Computer Science at New York University and at Yale University. She is now an Assistant Professor in the Department of Computer Science at University of Milan. Her research interests and teaching activity are in data analysis and machine learning, especially in finding patterns and structure in data. Her experience has developed particularly in applying these techniques to human and animal medical contexts. At present, she teaches «Data management methods and languages».
Current master students
- Simone Laudani: Utilizzo di algoritmi di rilevamento delle anomalie per l'apprendimento di insiemi fuzzyCS @unimi
- Ivan Mazzon: Famiglie di reti di Hopfield multitask per la classificazione di dati gerarchiciCS @unimi
- Mattia Ferraretto: Tecniche di allenamento per reti neurali profonde succinteCS @unimi
Current bachelor students
Martina ProviniCS @unimi - Giammarco VadacchinoCS @unimi - Andrea RigamontiCS @unimi
Former master students
- Antoine Nasra: Drift detection in machine learning via hypothesis testingCS @unimi 2023/24
- Alessandro Biagiotti: Supervised Machine Learning techniques for quench detection in superconductorsCS @unimi 2023/24
- Nicola Rinaldi: Studio della distribuzione delle query nei filtri di Bloom appresiCS @unimi 2023/24
- Silvia Mazzoleni: Forecast of corporate credit rating variation with machine learning techniquesDSE @unimi 2023/24
- Matteo Rusconi: Estensione e ingegnerizzazione di algoritmi di apprendimento per insiemi fuzzy tramite tecniche basate su vettori di supportoCS @unimi 2023/24
- Marco Lassandro: Tecniche di regressione per problemi di medicina forenseCS @unimi 2022/23
- William Biondi: Recommendation system for the fashion industry: a semantic approachDSE @unimi 2022/23
- Luca Bertoletti: E-commerce insights: analyzing customer reviews through LDA topic modeling and association rulesDSE @unimi 2022/23
- Massimo Frasson: Support Vector Anomaly Detection in Federated LearningCS @unimi 2022/23
- Antonio Belotti: Algoritmi di classificazione basati su vettori di supporto per la produzione di modelli succintiCS @unimi 2022/23
- Lorenzo Polli: Data-driven techniques as a support for customer needs understanding and in-store product placement: the Iper La Grande I case studyDSE @unimi 2022/23
- Stefano De Filippis: The importance of marketing channels: attribution models and forecastsDSE @unimi 2022/23
Former bachelor students
Simone Maria FumagalliCS @unimi - Michele CeroniCS @unimi - Simone Alessandro CasciaroCS @unimi - Christian FumagalliCS @unimi - Matteo BisottiCS @unimi - Sara CaielloCS @unimi - Mattia ParavisiCS @unimi - Claudio GaranziniCS @unimi - Elia CovinoCSC @unimi