D. Rousseau

1. Machine Learning in High Energy Physics Community White Paper
   2018/07/08 by Kim Albertsson, Piero Altoè, Albertsson, Kim +224 · 15 citations
   Physics and Astronomy · #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neutrino Physics Research #Particle Detector Development and Performance #Particle physics theoretical and experimental studies
2. The Tracking Machine Learning challenge : Throughput phase
   2021/05/03 by Sabrina Amrouche, L. Basara, Amrouche, Sabrina +36 · 4 citations
   Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #Machine Learning (cs.LG) #Particle Detector Development and Performance #Particle physics theoretical and experimental studies #Privacy-Preserving Technologies in Data
3. Expected Performance of the ATLAS Experiment - Detector, Trigger and Physics
   2008/12/28 by G. Aad, The ATLAS Collaboration, Aad, G. +5210 · 1 citation
   Physics and Astronomy · #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #hep-ex
4. FAIR Universe HiggsML Uncertainty Dataset and Competition
   2024/10/03 by W. Bhimji, Benato, Lisa, P. Calafiura +44 · 5 citations
   Business, Management and Accounting · Computer Science · Decision Sciences · #Big Data and Business Intelligence #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #Machine Learning (cs.LG) #Research Data Management Practices #Scientific Computing and Data Management #Statistics and Probability (physics.data-an)
5. The Higgs Machine Learning Challenge
   2015/12/23 by Carole Adam, G. Cowan, Cécile Germain‐Renaud +3 · 1 citation
   Physics and Astronomy · Computer Science · #Particle physics theoretical and experimental studies #Particle Detector Development and Performance #Distributed and Parallel Computing Systems