Diana Kafkes
Fermi National Accelerator Laboratory(US)Nasdaq (United States)(US)
Publications by Year
Research Areas
Particle Detector Development and Performance, Radiation Detection and Scintillator Technologies, Nuclear Physics and Applications, Advancements in Semiconductor Devices and Circuit Design, Distributed and Parallel Computing Systems
Most-Cited Works
- → DeepMerge – II. Building robust deep learning algorithms for merging galaxy identification across domains(2021)44 cited
- → Real-time Artificial Intelligence for Accelerator Control: A Study at the Fermilab Booster(2020)39 cited
- → DeepAdversaries: examining the robustness of deep learning models for galaxy morphology classification(2022)20 cited
- → DeepGhostBusters: Using Mask R-CNN to detect and mask ghosting and scattered-light artifacts from optical survey images(2022)19 cited
- → Developing Robust Digital Twins and Reinforcement Learning for Accelerator Control Systems at the Fermilab Booster(2021)8 cited
- → BOOSTR: A Dataset for Accelerator Control Systems(2021)8 cited
- → Domain adaptation techniques for improved cross-domain study of galaxy mergers(2020)5 cited
- → Robustness of deep learning algorithms in astronomy - galaxy morphology studies(2021)2 cited