Machine Learning

Research Area Coordinator
Laetitia Emilie Gauvin, André Panisson

The Machine Learning research area is designed to study a range of topics related to theoretical foundations and applications of machine learning in various contexts such as computer vision, natural language processing, finance, mobility, health care and bioinformatics. The work is interdisciplinary and deeply rooted in the research areas of complex networks, complex systems and computer science. The research focuses on modelling and simulation of systems that involve technological and social factors, using both supervised and unsupervised machine learning techniques to investigate the properties of such systems.

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Publications

WoMG: A Library for Word-of-Mouth Cascades Generation

F. Cinus, F. Bonchi, C. Monti, A. Panisson

Proceedings of the 14th ACM International Conference on Web Search and Data Mining (WSDM 2021) ©ACM March 8 - 21, 2021 (2021)

Facebook Ads: Politics of Migration in Italy

A. Capozzi Lupi, G. De Francisci Morales, Y. Mejova, C. Monti, A. Panisson, D. Paolotti

Proceeding SocInfo 2020: Lecture Notes in Computer Science book series LNCS, Vol. 12467 (2020)