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Using Machine Learning to Speed Up and Improve Calorimeter R&D.. CoRR, (2020)Using machine learning to speed up new and upgrade detector studies: a calorimeter case., , , , , and . CoRR, (2020)$(1 + \varepsilon)$-class Classification: an Anomaly Detection Method for Highly Imbalanced or Incomplete Data Sets., , , , , and . CoRR, (2019)Generative Models for Fast Calorimeter Simulation.LHCb case., , , , , and . CoRR, (2018)Energy reconstruction for large liquid scintillator detectors with machine learning techniques: aggregated features approach., , and . CoRR, (2022)Cherenkov Detectors Fast Simulation Using Neural Networks., , , , and . CoRR, (2019)Generative Adversarial Networks for LHCb Fast Simulation.. CoRR, (2020)Deep learning for inferring cause of data anomalies., , , , , , , , , and 3 other author(s). CoRR, (2017)Management of Grid Jobs and Information within SAMGrid, , , , , , , , , and 4 other author(s). CoRR, (2003)Towards automation of data quality system for CERN CMS experiment., , , and . CoRR, (2017)