Search Results for author: Thomas Gueudré

Found 3 papers, 0 papers with code

Expectation propagation on the diluted Bayesian classifier

no code implementations20 Sep 2020 Alfredo Braunstein, Thomas Gueudré, Andrea Pagnani, Mirko Pieropan

Efficient feature selection from high-dimensional datasets is a very important challenge in many data-driven fields of science and engineering.

Binary Classification feature selection +1

Initial cell density encodes proliferative potential in cancer cell populations

no code implementations30 Oct 2017 Chiara Enrico Bena, Marco Del Giudice, Alice Grob, Thomas Gueudré, Mattia Miotto, Dimitra Gialama, Matteo Osella, Emilia Turco, Francesca Ceroni, Andrea De Martino, Carla Bosia

Our results (i) uncover and quantify a previously unnoticed heterogeneity in the growth dynamics of cancer cell populations; (ii) unveil how population growth may be affected by single-cell adaptation times; (iii) contribute to our understanding of the clinically-observed dependence of the primary and metastatic tumor take rates on the initial density of implanted cancer cells.

Explore or exploit? A generic model and an exactly solvable case

no code implementations18 Oct 2013 Thomas Gueudré, Alexander Dobrinevski, Jean-Philippe Bouchaud

Finding a good compromise between the exploitation of known resources and the exploration of unknown, but potentially more profitable choices, is a general problem, which arises in many different scientific disciplines.

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