M. Todd Young
Johns Hopkins University(US)Calumet College of Saint Joseph(US)
Publications by Year
Research Areas
Protein Structure and Dynamics, Topic Modeling, Statistical Methods and Inference, Enzyme Structure and Function, COVID-19 diagnosis using AI
Most-Cited Works
- → Limitations of Transformers on Clinical Text Classification(2021)148 cited
- → Hierarchical attention networks for information extraction from cancer pathology reports(2017)147 cited
- → Deep clustering of protein folding simulations(2018)90 cited
- → Challenges in Markov Chain Monte Carlo for Bayesian Neural Networks(2022)53 cited
- → Distributed Bayesian optimization of deep reinforcement learning algorithms(2020)39 cited
- → Exascale Deep Learning for Scientific Inverse Problems(2019)29 cited
- → HyperSpace: Distributed Bayesian Hyperparameter Optimization(2018)19 cited
- → Information Extraction from Cancer Pathology Reports with Graph Convolution Networks for Natural Language Texts(2019)14 cited
- → Distinct Structural Flexibility within SARS-CoV-2 Spike Protein Reveals Potential Therapeutic Targets(2020)14 cited