Concepedia

Charles Siegel

CS

17

Publications

1.6K

Citations

14

H-Index

2016

Active since

Affiliations

Pacific Northwest National Laboratory(Current)

University of Bonn

German Center for Neurodegenerative Diseases

North Carolina State University

Hewlett Packard Enterprise (United States)

Charles Siegel is an author at Pacific Northwest National Laboratory specializing in engineering, machine learning, and data science.

Top concepts

EngineeringMachine LearningData ScienceDeep LearningComputer ScienceChemistryParallel ComputingDeep Neural NetworksParallel ProgrammingComputer Architecture

Publications per year

2016–2021

17

Publications

17

Swarm Learning for decentralized and confidential clinical machine learning

Stefanie Warnat‐Herresthal, Hartmut Schultze, Krishnaprasad Lingadahalli Shastry et al. · Nature · 2021 · 788 citations · Full text

CATMoS: Collaborative Acute Toxicity Modeling Suite

Kamel Mansouri, Agnes L. Karmaus, Jeremy Fitzpatrick et al. · Environmental Health Perspectives · 2021 · 129 citations · Full text

Chemception: A Deep Neural Network with Minimal Chemistry Knowledge Matches the Performance of Expert-developed QSAR/QSPR Models

Garrett B. Goh, Charles Siegel, Abhinav Vishnu et al. · arXiv (Cornell University) · 2017 · 115 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +20

Chemception: A Deep Neural Network with Minimal Chemistry Knowledge\n Matches the Performance of Expert-developed QSAR/QSPR Models

Garrett B. Goh, Charles Siegel, Abhinav Vishnu et al. · arXiv (Cornell University) · 2017 · 107 citations · Full text

Using Rule-Based Labels for Weak Supervised Learning

Garrett B. Goh, Charles Siegel, Abhinav Vishnu et al. · 2018 · 84 citations · Full text

Artificial Intelligence, Geometric Learning, Convolutional Neural Network +19

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