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
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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

Efficient Probabilistic Truss Indexing on Uncertain Graphs

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

Proceedings of The World Wide Web Conference (WWW 2021) ©IW3C2, April 19 - 23, 2021, Ljubljana, Slovenia.

STruD : Truss Decomposition of Simplicial Complexes

G. Preti, G. De Francisci Morales, F. Bonchi

Proceedings of The World Wide Web Conference (WWW 2021) ©IW3C2, April 19 - 23, 2021, Ljubljana, Slovenia

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 2021) ©ACM March 8 - 21, 2021 (2021)