Learning and Algorithms for Data Analytics

The mission of this research area is to develop novel algorithms and machine learning methods to analyse data of different types, modelling socio-technical systems, and supporting innovative applications in science and industry.

  • Algorithms and Learning on Graphs
  • Algorithmic Analysis of Social Dynamics
  • Fair and Explainable AI
  • (Deep) Learning for Text and Images
  • Streaming, Online, Active Learning
  • AI for Industrial Applications
Read more


Ada Lovelace Lab

The ALL laboratory is substantially integrated with the ISI Foundation teams working on mathematical formalization and complex system science and data science applications and the development of innovative algorithms and machine learning.

Read more


The Effect of People Recommenders on Echo Chambers and Polarization

F. Cinus, M. Minici, C. Monti, F. Bonchi

Proceedings of the International AAAI Conference on Web and Social Media 16 (2022)

Download pdf

Forecast of Distributed Energy Generation and Consumption in a Partially Observable Electrical Grid: A Machine Learning Approach

E. Amparore, F. Cinus, C. Maestri, L. Petrocchi, D. Polinelli, F. Scarpa, A. Perotti, A. Panisson, P. Bajardi

2021 IEEE Madrid PowerTech (2021)

Download pdf

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 '21) (2021)

Download pdf