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Annual CDS Pitching Day

28 novembre 2018
UPSud Math building
Fuseau horaire Europe/Paris

Liste des Contributions

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  1. 36. Tracking challenge
    Dr David Rousseau (ATLAS)
    28/11/2018 10:00
  2. 37. Autism challenge
    Gael Varoquaux (INRIA)
    28/11/2018 10:30
  3. 38. Inpainting Chlorophyll-A Images
    Joris Van den Bossche (INRIA)
    28/11/2018 11:00
  4. 39. Snow detection and segmentation
    M. Pierre Lepetit (LATMOS)
    28/11/2018 11:30
  5. 45. Cartolabe
    Jean-Daniel Fekete (INRIA)
    28/11/2018 12:00
  6. 40. EELS spectrum-imaging meets deep learning
    Nathalie Brun (Laboratoire de Physique des Solides-CNRS)
    28/11/2018 13:30
  7. 41. Online Algorithms for Influencer Marketing
    Bogdan Cautis (LRI)
    28/11/2018 14:00
  8. 42. Detection of gradual causal rules in transformation processes
    Fatiha Sais (LRI)
    28/11/2018 14:30
  9. 43. Réduction de dimension et imputation pour la paléogénomique
    Flora Jay (LRI/CNRS/UPSud)
    28/11/2018 15:00
  10. 44. TBD
    Dr Alexandre Gramfort (INRIA)
    28/11/2018 15:30
  11. 15. A framework for sensor data management and analysis
    Karine Zeitouni (DAVID / UVSQ)
  12. 14. A platform for decoding and recoding turbulence
    Dr Bérengère Podvin (CNRS)
  13. 5. Apprentissage automatique pour une aide au codage PMSI
    Namik Taright (APHP)
  14. 9. Causal discovery for CDS practitioners
    Mlle Isabelle Guyon (UPSud / INRIA / ChaLearn)
  15. 8. Efficiently Ranking big biological and biomedical data sets using rank aggregation techniques
    Dr Sarah COHEN-BOULAKIA (Laboratoire de Recherche en Informatique)
  16. 16. Generic stereoscopic tools for planetary topography
    M. Frédéric Schmidt (GEOPS / UPSud)
  17. 11. Global scientific positioning system for CDS
    Philippe Caillou (LRI / UPSud)
  18. 12. Heterogeneous social data management and mining
    Nacéra Bennacer (LRI)
  19. 0. Introduction
    Balázs Kégl (LAL)
  20. 6. Managing and analyzing analytical chemistry data sets
    Ali Tfayli (LIPSYS / UPSud)
  21. 10. Multi-level data fusion
    Dr Kaouthar Benameur (ONERA)
  22. 1. RAMPs and Data Challenges
    Balázs Kégl (LAL)
  23. 13. Reconstructing the past: deep learning for population genetics
    Guillaume Charpiat (TAO Team/ INRIA)
  24. 7. Secure cytotoxic administration by non-invasive spectroscopy
    Laetitia Le (LIPSYS / UPSud)
  25. 2. The linked data platform
    Mme Karima Rafes (LRI)
  26. 3. The open software initiative
    Alexandre Gramfort (Telecom ParisTech, CNRS)
  27. 17. Tracking machine learning challenge
    Dr David Rousseau (ATLAS)
  28. 4. Ultrawalls and interactive visualization
    Emmanuel Pietriga (INRIA)

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