Stephen M. Schwartz

According to our database, Stephen M. Schwartz authored at least 4 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Deep learning uncertainty quantification for clinical text classification.

Alina Peluso, Ioana Danciu, Hong-Jun Yoon, Jamaludin Mohd-Yusof, Tanmoy Bhattacharya, Adam Spannaus, Noah Schaefferkoetter, Eric B. Durbin, Xiao-Cheng Wu, Antoinette Stroup, Jennifer A. Doherty, Stephen M. Schwartz, Charles Wiggins, Linda Coyle, Lynne Penberthy, Georgia D. Tourassi, Shang Gao

J. Biomed. Informatics, January, 2024

2022

A Keyword-Enhanced Approach to Handle Class Imbalance in Clinical Text Classification.

Andrew E. Blanchard, Shang Gao, Hong-Jun Yoon, James Blair Christian, Eric B. Durbin, Xiao-Cheng Wu, Antoinette Stroup, Jennifer A. Doherty, Stephen M. Schwartz, Charles Wiggins, Linda Coyle, Lynne Penberthy, Georgia D. Tourassi

IEEE J. Biomed. Health Informatics, 2022

Class imbalance in out-of-distribution datasets: Improving the robustness of the TextCNN for the classification of rare cancer types.

Kevin De Angeli, Shang Gao, Ioana Danciu, Eric B. Durbin, Xiao-Cheng Wu, Antoinette Stroup, Jennifer A. Doherty, Stephen M. Schwartz, Charles Wiggins, Mark Damesyn, Linda Coyle, Lynne Penberthy, Georgia D. Tourassi, Hong-Jun Yoon

J. Biomed. Informatics, 2022

2019

Cross-registry neural domain adaptation to extract mutational test results from pathology reports.

Anthony Rios, Eric B. Durbin, Isaac Hands, Susanne M. Arnold, Darshil Shah, Stephen M. Schwartz, Bernardo H. L. Goulart, Ramakanth Kavuluru

J. Biomed. Informatics, 2019