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.

  • 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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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.

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Node Embeddings and Exact Low-Rank Representations of Complex Networks

S. Chanpuriya, C. Musco, K. Sotiropoulos, C. Tsourakakis

Thirty-fourth Conference on Neural Information Processing Systems

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Efficient Probabilistic Truss Indexing on Uncertain Graphs

Z. Sun, X. Huang, J. Xu, F. Bonchi

Proceedings of the Web Conference 2021 (WWW ’21) (2021)