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.

Topics
  • 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
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Projects

Ada Lovelace Lab
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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.

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Publications

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)

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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)

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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)

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