Filip Siroký
Publications by Year
Research Areas
Particle physics theoretical and experimental studies, Particle Detector Development and Performance, Anomaly Detection Techniques and Applications, Neutrino Physics Research, Cloud Computing and Resource Management
Most-Cited Works
- → Machine Learning in High Energy Physics Community White Paper(2018)224 cited
- → Virtualization Costs: Benchmarking Containers and Virtual Machines Against Bare-Metal(2021)25 cited
- → Anomaly detection using Deep Autoencoders for the assessment of the quality of the data acquired by the CMS experiment(2019)20 cited
- → Deep learning for inferring cause of data anomalies(2017)1 cited
- "European Public Prosecutor's Office: Comparative Analysis with Particular National Prosecution Systems"(2020)