Communication dans un congrès
Physique des Hautes Energies - Expérience
Affichage des résultats 1 à 6 sur 6 au total
Physique des Hautes Energies - Expérience : 1 à 6 sur 6 au total
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Pré-publication, Document de travail
Adrian Alan Pol, Gianluca Cerminara, Cécile Germain, Maurizio Pierini, Agrima Seth. Detector monitoring with artificial neural networks at the CMS experiment at the CERN Large Hadron Collider. 2019. ⟨hal-01976256⟩
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Article dans une revue
Sabrina Amrouche, Laurent Basara, Paolo Calafiura, Dmitry Emeliyanov, Victor Estrade, et al.. The Tracking Machine Learning challenge : Throughput phase. Computing and Software for Big Science, 2023, 7 (1), pp.1. ⟨10.1007/s41781-023-00094-w⟩. ⟨hal-03159824v2⟩
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Article dans une revue
Adrian Alan Pol, Gianluca Cerminara, Cécile Germain, Maurizio Pierini, Agrima Seth. Detector Monitoring with Artificial Neural Networks at the CMS Experiment at the CERN Large Hadron Collider. Computing and Software for Big Science, 2019, 3 (1), ⟨10.1007/s41781-018-0020-1⟩. ⟨hal-02427998⟩
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Communication dans un congrès
Adrian Alan Pol, Victor Berger, Gianluca Cerminara, Cécile Germain, Maurizio Pierini. Trigger Rate Anomaly Detection with Conditional Variational Autoencoders at the CMS Experiment. Machine Learning and the Physical Sciences Workshop at the 33rd Conference on Neural Information Processing Systems (NeurIPS), Dec 2019, Vancouver, Canada. ⟨hal-02428005⟩
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Chapitre d'ouvrage
Adrian Alan Pol, Gianluca Cerminara, Cécile Germain, Maurizio Pierini. Data Quality Monitoring Anomaly Detection. Artificial Intelligence for High Energy Physics, World Scientific, 2022, ⟨10.1142/9789811234033_0004⟩. ⟨hal-03159873⟩