Peter Sadowski
University of Hawaiʻi at Mānoa(US)
Publications by Year
Research Areas
Computational Physics and Python Applications, Neural Networks and Applications, AI in cancer detection, Radiomics and Machine Learning in Medical Imaging, Particle physics theoretical and experimental studies
Most-Cited Works
- → Searching for exotic particles in high-energy physics with deep learning(2014)1,158 cited
- Understanding Dropout(2013)
- → Learning Activation Functions to Improve Deep Neural Networks(2014)349 cited
- → The dropout learning algorithm(2014)346 cited
- → Jet substructure classification in high-energy physics with deep neural networks(2016)238 cited
- → Deep autoencoder neural networks for gene ontology annotation predictions(2014)192 cited
- → Decorrelated jet substructure tagging using adversarial neural networks(2017)126 cited
- → Enhanced Higgs Boson toτ+τ−Search with Deep Learning(2015)102 cited
- → A theory of local learning, the learning channel, and the optimality of backpropagation(2016)79 cited
- → Deep Learning for Predicting Significant Wave Height From Synthetic Aperture Radar(2020)74 cited