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First ML-INFN Hackathon

7–9 Jun 2021
Zoom
Europe/Rome timezone

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Contribution List

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  1. 15. Introduction and logistics
    Tommaso Boccali (PI)
    07/06/2021, 09:00
  2. 1. What is Machine Learning and why it is relevant to INFN
    Daniele Bonacorsi (BO)
    07/06/2021, 09:20
  3. 2. Neural Networks: principles and common architectures
    Stefano Giagu (ROMA1)
    07/06/2021, 10:10
  4. 4. INFN-Cloud, and how to use it for ML_INFN
    Daniele Spiga (PG)
    07/06/2021, 11:30
  5. 6. Hands-on - Playing with CERN Open Data with numpy, pandas and pyplot
    Lucio Anderlini (FI)
    07/06/2021, 13:45
  6. 7. Introduction to keras
    Andrea Rizzi (PI), Andrea Rizzi (INFN Pisa)
    07/06/2021, 15:00
  7. 8. Hands-on - Introduction to keras
    Andrea Rizzi (INFN Pisa), Andrea Rizzi (PI)
    07/06/2021, 15:30
  8. 11. ML for applications in High Energy Physics
    Tommaso Dorigo (PD)
    08/06/2021, 09:00
  9. 9. ML Basics: hands-on on a simple categorization example in HEP
    Lucio Anderlini (FI)
    08/06/2021, 09:30
  10. 10. ML for applications in medical physics of INFN interest
    Alessandra Retico (PI)
    08/06/2021, 12:30
  11. 12. Discrimination of hadronic jets from light and heavy flavours @ LHC
    Tommaso Boccali (PI)
    09/06/2021, 09:00
  12. 13. Autoencoders for VIRGO GW signal analysis
    Nunziato Sorrentino (Istituto Nazionale di Fisica Nucleare)
    09/06/2021, 09:10
  13. 14. Classification of lesions in medical physics
    Alessandra Retico (PI)
    09/06/2021, 09:20
  14. 16. How to access INFNCloud
    Daniele Spiga (PG), Doina Cristina Duma (CNAF)
    09/06/2021, 16:30
  15. 3. Cloud Computing and Cloud-INFN
  16. 5. Playing with CERN Open Data with numpy, pandas and pyplot
    Lucio Anderlini (FI)