Statistics, Learning and Intelligent Modeling

The «Statistics, Learning and Intelligent Modeling» (SLIM) laboratory gathers a group of researchers working at the Computer Science Department of the University of Milan.

The laboratory activities are centered around the development of methodologies for intelligent data analysis, involving several aspects of data science and artificial intelligence, joining computer science, statistical, machine-learning and optimization techniques.

The laboratory is specialized in the application of advanced data analysis techniques to various scientific fields, both using standard procedures and developing novel methodologies.

The research activities of the laboratory are published in international journals and conferences. The laboratory members participate to several projects and working groups, operating both at the local, national, and international level, and they are actively involved in teaching Bachelor, Master and PhD courses in the areas of statistics, big-data analysis and artificial intelligence.

Recent highlights

Date	Description
12/06/2025	SLIM seminar Michele Ceroni: «Soluzioni puramente apprese per il problema dell'approximate set membership» (in Italian). «Laboratorio magistrale» room on the fifth floor of the Computer Science Department, 10:30.
04/06/2025	SLIM seminar Saumik Bhattacharya: «Convolutional Sparse Coding in Deep Learning» (in English). Meeting room on the eight floor of the Computer Science Department, 10:30.
22/05/2025	SLIM seminar Antoine Nasra: «Drift detection via hypotheses tests» (in English). Meeting room on the fifth floor of the fifth floor of the Computer Science Department, 10:30.
15/05/2025	PhD in Computer Science (2025/26 call) Enrollment to the in Computer Science at the University of Milan is open until June, 13th. The SLIM laboratory proposes four research lines: «Machine learning in emerging scenarios», «Artificial intelligence methods for anomaly detection», «Succinct machine learning models» and «Learned data structures».
08/05/2025	SLIM seminar Alessandro Biagiotti: «Quench detection and localization using supervised machine learning» (in English). Meeting room on the fifth floor of the Computer Science department, 17:00.
17/04/2025	SLIM seminar Antonello Di Rita: «Neural style transfer» (in Italian). Meeting room on the fifth floor of the Computer Science Department, 10:30.