Learning and Algorithms for Data Analytics

Research Area Coordinator
Francesco Bonchi

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
Read more

Projects

Ada Lovelace Lab
T

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

Publications

Explainable Classification of Brain Networks via Contrast Subgraphs

T. Lanciano, F. Bonchi, A. Gionis

Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, (KDD 2020) ACM, August 23-27, 2020, San Diego, CA, USA (2020)

Download pdf

Learning Opinion Dynamics From Social Traces

C. Monti, G. De Francisci Morales, F. Bonchi

Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, (KDD 2020) ©ACM, August 23-27, 2020, San Diego, CA, USA (2020)

Download pdf

Roots of Trumpism: Homophily and Social Feedback in Donald Trump Support on Reddit

J. Massachs Güell, C. Monti, G. De Francisci Morales, F. Bonchi

Proceedings of The 12th International ACM Conference on Web Science (WebSci 2020) ©ACM, July 7-10, 2020, Southampton, UK (2020)

Download pdf