Heidi A. Hanson

According to our database, Heidi A. Hanson authored at least 6 papers between 2021 and 2024.

Collaborative distances:

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

2024

Attention Mechanisms in Clinical Text Classification: A Comparative Evaluation.

Christoph S. Metzner, Shang Gao, Drahomira Herrmannova, Elia Lima-Walton, Heidi A. Hanson

IEEE J. Biomed. Health Informatics, April, 2024

2023

FrESCO: Framework for Exploring Scalable Computational Oncology.

Adam Spannaus, John Gounley, Mayanka Chandra Shekar, Zachary R. Fox, Jamaludin Mohd-Yusof, Noah Schaefferkoetter, Heidi A. Hanson

J. Open Source Softw., October, 2023

DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies.

Shuaiwen Leon Song, Bonnie Kruft, Minjia Zhang, Conglong Li, Shiyang Chen, Chengming Zhang, Masahiro Tanaka, Xiaoxia Wu, Jeff Rasley, Ammar Ahmad Awan, Connor Holmes, Martin Cai, Adam Ghanem, Zhongzhu Zhou, Yuxiong He, Pete Luferenko, Divya Kumar, Jonathan A. Weyn, Ruixiong Zhang, Sylwester Klocek, Volodymyr Vragov, Mohammed AlQuraishi, Gustaf Ahdritz, Christina Floristean, Cristina Negri, Rao Kotamarthi, Venkatram Vishwanath, Arvind Ramanathan, Sam Foreman, Kyle Hippe, Troy Arcomano, Romit Maulik, Maxim Zvyagin, Alexander Brace, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann, Michael W. Irvin, J. Gregory Pauloski, Logan T. Ward, Valérie Hayot-Sasson, Murali Emani, Zhen Xie, Diangen Lin, Maulik Shukla, Ian T. Foster, James J. Davis, Michael E. Papka, Thomas S. Brettin, Prasanna Balaprakash, Gina Tourassi, John Gounley, Heidi A. Hanson, Thomas E. Potok, Massimiliano Lupo Pasini, Kate Evans, Dan Lu, Dalton D. Lunga, Junqi Yin, Sajal Dash, Feiyi Wang, Mallikarjun Shankar, Isaac Lyngaas, Xiao Wang, Guojing Cong, Pei Zhang, Ming Fan, Siyan Liu, Adolfy Hoisie, Shinjae Yoo, Yihui Ren, William Tang, Kyle Felker, Alexey Svyatkovskiy, Hang Liu, Ashwin M. Aji, Angela Dalton, Michael J. Schulte, Karl Schulz, Yuntian Deng, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Anima Anandkumar, Rick Stevens

CoRR, 2023

Topological Interpretability for Deep-Learning.

Adam Spannaus, Heidi A. Hanson, Lynne Penberthy, Georgia D. Tourassi

CoRR, 2023

Medication Knowledge Graph Analysis Using the PageRank Algorithm.

S. M. Shamimul Hasan, Alina Peluso, Heidi A. Hanson, Anuj J. Kapadia

Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

2021

Creating a Tools Ecosystem for Cross-Discipline Environmental Data Reuse.

Jeremy Logan, Greeshma A. Agasthya, Heidi A. Hanson, Matthew Wolf, Heechan Lee, Shaheen Dewji, Hong-Jun Yoon, Anuj J. Kapadia

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