Bob Stienen
Radboud University Nijmegen(NL)
Publications by Year
Research Areas
Particle physics theoretical and experimental studies, Distributed and Parallel Computing Systems, Particle Detector Development and Performance, Computational Physics and Python Applications, High-Energy Particle Collisions Research
Most-Cited Works
- → Machine Learning in High Energy Physics Community White Paper(2018)224 cited
- → Machine learning and LHC event generation(2023)103 cited
- → The BSM-AI project: SUSY-AI–generalizing LHC limits on supersymmetry with machine learning(2017)70 cited
- → A comparison of optimisation algorithms for high-dimensional particle and astrophysics applications(2021)26 cited
- → spot: Open Source framework for scientific data repository and interactive visualization(2019)5 cited
- → \nInteractive Web-Based Visualization of Multidimensional Physical and Astronomical Data(2021)4 cited
- → SPOT: Open Source Visual Data Analytics Platform for High-Dimensional Scientific Data(2018)2 cited
- → Session files for phenoMLdata SPOT server(2020)