Dennis L. Shung

According to our database, Dennis L. Shung authored at least 8 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Harnessing the power of synthetic data in healthcare: innovation, application, and privacy.

Mauro Giuffrè, Dennis L. Shung

npj Digit. Medicine, 2023

Assessing the Usability of GutGPT: A Simulation Study of an AI Clinical Decision Support System for Gastrointestinal Bleeding Risk.

Colleen Chan, Kisung You, Sunny Chung, Mauro Giuffrè, Theo Saarinen, Niroop Rajashekar, Yuan Pu, Yeo Eun Shin, Loren Laine, Ambrose Wong, René F. Kizilcec, Jasjeet S. Sekhon, Dennis L. Shung

CoRR, 2023

Auditing for Human Expertise.

Rohan Alur, Loren Laine, Darrick K. Li, Manish Raghavan, Devavrat Shah, Dennis L. Shung

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Embedding Signals on Graphs with Unbalanced Diffusion Earth Mover's Distance.

Alexander Tong, Guillaume Huguet, Dennis L. Shung, Amine Natik, Manik Kuchroo, Guillaume Lajoie, Guy Wolf, Smita Krishnaswamy

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Generating hard-to-obtain information from easy-to-obtain information: Applications in drug discovery and clinical inference.

Matthew Amodio, Dennis L. Shung, Daniel B. Burkhardt, Patrick Wong, Michael Simonov, Yu Yamamoto, David van Dijk, Francis Perry Wilson, Akiko Iwasaki, Smita Krishnaswamy

Patterns, 2021

Embedding Signals on Knowledge Graphs with Unbalanced Diffusion Earth Mover's Distance.

Alexander Tong, Guillaume Huguet, Dennis L. Shung, Amine Natik, Manik Kuchroo, Guillaume Lajoie, Guy Wolf, Smita Krishnaswamy

CoRR, 2021

MURAL: An Unsupervised Random Forest-Based Embedding for Electronic Health Record Data.

Michal Gerasimiuk, Dennis L. Shung, Alexander Tong, Adrian J. Stanley, Michael Schultz, Jeffrey Ngu, Loren Laine, Guy Wolf, Smita Krishnaswamy

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Making Logic Learnable With Neural Networks.

Tobias Brudermueller, Dennis L. Shung, Loren Laine, Adrian J. Stanley, Stig B. Laursen, Harry R. Dalton, Jeffrey Ngu, Michael Schultz, Johannes Stegmaier, Smita Krishnaswamy

CoRR, 2020