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MUCCA - A 4 year saga summary

28–30 May 2025
Faculty of Physics, Sofia University
Europe/Sofia timezone

Contribution List

18 out of 18 displayed
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  1. 11. MUCCA project: towards completion
    Stefano Giagu (Sapienza Università di Roma and INFN Roma (IT))
    28/05/2025, 16:00
  2. 12. Discussion
    28/05/2025, 17:00
  3. 13. MUCCA summary paper preparation
    Simone Scardapane (Sapienza University of Rome)
    28/05/2025, 17:30
  4. 14. Paper discussion
    28/05/2025, 18:30
  5. 1. WP 1 report: explainable AI in High Energy Physics data analysis
    Monica D'Onofrio (University of Liverpool (GB))
    29/05/2025, 09:00
  6. 2. WP 2 report: explainable AI in calorimeter reconstruction
    Kalina Dimitrova (University of Sofia - St. Kliment Ohridski (BG))
    29/05/2025, 09:30
  7. 3. WP 3 report: explainable AI in real-time HEP applications
    Stefano Giagu (Sapienza Università di Roma and INFN Roma (IT))
    29/05/2025, 10:00
  8. 7. WP 4 report: explainable AI in medical imaging
    Cecilia Voena (Sapienza Universita e INFN, Roma I (IT))
    29/05/2025, 11:00
  9. 8. WP 5 report: Descriptors for xAI algorithms to characterize the fluid dynamics in presence of interfaces.
    Corneliu Balan
    29/05/2025, 11:30
  10. 17. WP 5: Diagnosing lungs
    Simone Melchionnna
    29/05/2025, 12:00
  11. 9. WP 6 report: explainable AI to improve analysis and modelling in neuroscience
    29/05/2025, 12:30
  12. 15. Applications of ML methods for calorimeter data reconstruction
    Ruslan Nastaev
    29/05/2025, 14:00
  13. 16. Beam parameters from incomplete data: measuring profiles with pixel detectors
    Svetoslav Ivanov (SOFIA UNIVERSITY ST. KLIMENT OHRIDSKI), Simeon Ivanov
    29/05/2025, 14:30
  14. 18. Understanding combustion through ML
    Peicho Petkov (University of Sofia - St. Kliment Ohridski (BG))
    29/05/2025, 15:00
  15. 10. Open discussion, including colleagues applying ML methods at Faculty of Physics, Sofia University
    29/05/2025, 16:00
  16. 4. WP 4 report: explainable AI in medical imaging
  17. 5. WP 5 report: explainable AI in the diagnosis of pulmonary, tracheal and nasal airways
  18. 6. WP 5 report: explainable AI to improve analysis and modelling in neuroscience