Hasil Pencarian - Pierre Borgnat

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  1. 1
    Temporal network compression via network hashing

    Temporal network compression via network hashing oleh Rémi Vaudaine, Pierre Borgnat, Paulo Gonçalves, Rémi Gribonval, Márton Karsai

    Diterbitkan 2024-01-01
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  2. 2
    Hierarchical and Unsupervised Graph Representation Learning with Loukas’s Coarsening

    Hierarchical and Unsupervised Graph Representation Learning with Loukas’s Coarsening oleh Louis Béthune, Yacouba Kaloga, Pierre Borgnat, Aurélien Garivier, Amaury Habrard

    Diterbitkan 2020-08-01
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  3. 3
    The Contours of a Cliophysics. How Can Econophysics Enrich Cliometrics? Case Studies in Debt Issues and Global Capital Markets

    The Contours of a Cliophysics. How Can Econophysics Enrich Cliometrics? Case Studies in Debt Issues and Global Capital Markets oleh Patrice Abry, Cécile Bastidon, Pierre Borgnat, Pablo Jensen, Antoine Parent

    Diterbitkan 2022-05-01
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  4. 4
    Semi-automatic Extraction of Functional Dynamic Networks Describing Patient's Epileptic Seizures

    Semi-automatic Extraction of Functional Dynamic Networks Describing Patient's Epileptic Seizures oleh Gaëtan Frusque, Pierre Borgnat, Paulo Gonçalves, Julien Jung, Julien Jung

    Diterbitkan 2020-12-01
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  5. 5
    Multi-scale structural community organisation of the human genome

    Multi-scale structural community organisation of the human genome oleh Rasha E. Boulos, Nicolas Tremblay, Alain Arneodo, Pierre Borgnat, Benjamin Audit

    Diterbitkan 2017-04-01
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  6. 6
    Who benefits most from Lyon's bike sharing system?

    Who benefits most from Lyon's bike sharing system? oleh Jordan Cambe, Patrice Abry, Julien Barnier, Pierre Borgnat, Marie Vogel, Pablo Jensen

    Diterbitkan 2020-01-01
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  7. 7
    Deep Learning-Based Extreme Heatwave Forecast

    Deep Learning-Based Extreme Heatwave Forecast oleh Valérian Jacques-Dumas, Francesco Ragone, Francesco Ragone, Francesco Ragone, Pierre Borgnat, Patrice Abry, Freddy Bouchet

    Diterbitkan 2022-02-01
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  8. 8
    Spatial and temporal regularization to estimate COVID-19 reproduction number R(t): Promoting piecewise smoothness via convex optimization.

    Spatial and temporal regularization to estimate COVID-19 reproduction number R(t): Promoting piecewise smoothness via convex optimization. oleh Patrice Abry, Nelly Pustelnik, Stéphane Roux, Pablo Jensen, Patrick Flandrin, Rémi Gribonval, Charles-Gérard Lucas, Éric Guichard, Pierre Borgnat, Nicolas Garnier

    Diterbitkan 2020-01-01
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