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Shang Gao 0008
Person information
- affiliation: Oak Ridge National Laboratory, Computational Sciences and Engineering Division, Health Data Sciences Institute, TN, USA
- affiliation: University of Georgia, Athens, GA, USA
Other persons with the same name
- Shang Gao — disambiguation page
- Shang Gao 0001
— Jiangsu University of Science and Technology, School of Computer Science and Technology, Zhenjiang, China
- Shang Gao 0002
- Shang Gao 0003
- Shang Gao 0004
- Shang Gao 0005
- Shang Gao 0006
- Shang Gao 0007
- Shang Gao 0009 — Shanghai Jiao Tong University, School of Software, China
- Shang Gao 0010 — Beijing University of Technology, Faculty of Information Technology, China
- Shang Gao 0011 — Shandong University of Science and Technology, College of Electronic and Information Engineering, Qingdao, China
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2020 – today
- 2024
- [j14]Alina Peluso
Deep learning uncertainty quantification for clinical text classification. J. Biomed. Informatics 149: 104576 (2024) - [j13]Christoph S. Metzner
Attention Mechanisms in Clinical Text Classification: A Comparative Evaluation. IEEE J. Biomed. Health Informatics 28(4): 2247-2258 (2024) - 2022
- [j12]Andrew E. Blanchard
Language models for the prediction of SARS-CoV-2 inhibitors. Int. J. High Perform. Comput. Appl. 36(5-6): 587-602 (2022) - [j11]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:
Class imbalance in out-of-distribution datasets: Improving the robustness of the TextCNN for the classification of rare cancer types. J. Biomed. Informatics 125: 103957 (2022) - [j10]Andrew E. Blanchard
Automating Genetic Algorithm Mutations for Molecules Using a Masked Language Model. IEEE Trans. Evol. Comput. 26(4): 793-799 (2022) - [j9]Andrew E. Blanchard
A Keyword-Enhanced Approach to Handle Class Imbalance in Clinical Text Classification. IEEE J. Biomed. Health Informatics 26(6): 2796-2803 (2022) - 2021
- [j8]Kevin De Angeli, Shang Gao
Deep active learning for classifying cancer pathology reports. BMC Bioinform. 22(1): 113 (2021) - [j7]Mohammed M. Alawad
Privacy-Preserving Deep Learning NLP Models for Cancer Registries. IEEE Trans. Emerg. Top. Comput. 9(3): 1219-1230 (2021) - [j6]Shang Gao
Limitations of Transformers on Clinical Text Classification. IEEE J. Biomed. Health Informatics 25(9): 3596-3607 (2021) - [c7]Mark A. Coletti
Diagnosing autonomous vehicle driving criteria with an adversarial evolutionary algorithm. GECCO Companion 2021: 301-302 - [c6]Shang Gao, Spencer Paulissen, Mark Coletti, Robert M. Patton:
Quantitative Evaluation of Autonomous Driving in CARLA. IV Workshops 2021: 257-263 - [i1]Mohammed M. Alawad, Shang Gao, Mayanka Chandra Shekar, S. M. Shamimul Hasan, James Blair Christian, Xiao-Cheng Wu, Eric B. Durbin, Jennifer A. Doherty, Antoinette Stroup, Linda Coyle, Lynne Penberthy, Georgia D. Tourassi:
Integration of Domain Knowledge using Medical Knowledge Graph Deep Learning for Cancer Phenotyping. CoRR abs/2101.01337 (2021) - 2020
- [j5]Mohammed M. Alawad, Shang Gao, John X. Qiu, Hong-Jun Yoon, James Blair Christian, Lynne Penberthy, Brent J. Mumphrey, Xiao-Cheng Wu, Linda Coyle, Georgia D. Tourassi:
Automatic extraction of cancer registry reportable information from free-text pathology reports using multitask convolutional neural networks. J. Am. Medical Informatics Assoc. 27(1): 89-98 (2020) - [j4]Hong-Jun Yoon, Hilda B. Klasky, John P. Gounley
Accelerated training of bootstrap aggregation-based deep information extraction systems from cancer pathology reports. J. Biomed. Informatics 110: 103564 (2020)
2010 – 2019
- 2019
- [j3]Shang Gao, John X. Qiu, Mohammed M. Alawad, Jacob D. Hinkle
Classifying cancer pathology reports with hierarchical self-attention networks. Artif. Intell. Medicine 101 (2019) - [c5]Mohammed M. Alawad, Shang Gao, John X. Qiu, Noah Schaefferkoetter, Jacob D. Hinkle
Deep Transfer Learning Across Cancer Registries for Information Extraction from Pathology Reports. BHI 2019: 1-4 - [c4]John X. Qiu, Shang Gao, Mohammed M. Alawad, Noah Schaefferkoetter, Folami Alamudun, Hong-Jun Yoon, Xiao-Cheng Wu, Georgia D. Tourassi:
Semi-Supervised Information Extraction for Cancer Pathology Reports. BHI 2019: 1-4 - [c3]Hong-Jun Yoon, John Gounley
Model-based Hyperparameter Optimization of Convolutional Neural Networks for Information Extraction from Cancer Pathology Reports on HPC. BHI 2019: 1-4 - [c2]Mohammed M. Alawad
Adversarial Training for Privacy-Preserving Deep Learning Model Distribution. IEEE BigData 2019: 5705-5710 - 2018
- [j2]Debsindhu Bhowmik, Shang Gao, Michael T. Young, Arvind Ramanathan:
Deep clustering of protein folding simulations. BMC Bioinform. 19-S(18): 47-58 (2018) - [j1]Shang Gao, Michael T. Young, John X. Qiu, Hong-Jun Yoon, James Blair Christian, Paul A. Fearn, Georgia D. Tourassi, Arvind Ramanathan:
Hierarchical attention networks for information extraction from cancer pathology reports. J. Am. Medical Informatics Assoc. 25(3): 321-330 (2018) - [c1]Shang Gao, Arvind Ramanathan, Georgia D. Tourassi:
Hierarchical Convolutional Attention Networks for Text Classification. Rep4NLP@ACL 2018: 11-23
Coauthor Index
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