Shang Gao

Drahomira Herrmannova

Elia Lima-Walton

Heidi A. Hanson

IEEE J. Biomed. Health Informatics, April, 2024

Deep learning uncertainty quantification for clinical text classification.

[BibT_eX]

[DOI]

J. Biomed. Informatics, January, 2024

2022

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

[BibT_eX]

[DOI]

Andrew E. Blanchard

Hong-Jun Yoon

IEEE J. Biomed. Health Informatics, 2022

Automating Genetic Algorithm Mutations for Molecules Using a Masked Language Model.

[BibT_eX]

[DOI]

Andrew E. Blanchard

Mayanka Chandra Shekar

IEEE Trans. Evol. Comput., 2022

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

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2022

Language models for the prediction of SARS-CoV-2 inhibitors.

[BibT_eX]

[DOI]

Andrew E. Blanchard

John Gounley

Debsindhu Bhowmik

Mayanka Chandra Shekar

Int. J. High Perform. Comput. Appl., 2022

2021

Limitations of Transformers on Clinical Text Classification.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2021

Privacy-Preserving Deep Learning NLP Models for Cancer Registries.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput., 2021

Integration of Domain Knowledge using Medical Knowledge Graph Deep Learning for Cancer Phenotyping.

[BibT_eX]

[DOI]

Mohammed M. Alawad

Mayanka Chandra Shekar

S. M. Shamimul Hasan

CoRR, 2021

Deep active learning for classifying cancer pathology reports.

[BibT_eX]

[DOI]

BMC Bioinform., 2021

Quantitative Evaluation of Autonomous Driving in CARLA.

[BibT_eX]

[DOI]

Proceedings of the IEEE Intelligent Vehicles Symposium Workshops, 2021

Diagnosing autonomous vehicle driving criteria with an adversarial evolutionary algorithm.

[BibT_eX]

[DOI]

Mark A. Coletti

Spencer Paulissen

Nicholas Quentin Haas

Robert M. Patton

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020

Accelerated training of bootstrap aggregation-based deep information extraction systems from cancer pathology reports.

[BibT_eX]

[DOI]

Georgia D. Tourassi

J. Biomed. Informatics, 2020

Automatic extraction of cancer registry reportable information from free-text pathology reports using multitask convolutional neural networks.

[BibT_eX]

[DOI]

J. Am. Medical Informatics Assoc., 2020

2019

Classifying cancer pathology reports with hierarchical self-attention networks.

[BibT_eX]

[DOI]

Hong-Jun Yoon

Artif. Intell. Medicine, 2019

Adversarial Training for Privacy-Preserving Deep Learning Model Distribution.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Model-based Hyperparameter Optimization of Convolutional Neural Networks for Information Extraction from Cancer Pathology Reports on HPC.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

Semi-Supervised Information Extraction for Cancer Pathology Reports.

[BibT_eX]

[DOI]

John X. Qiu

Mohammed M. Alawad

Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

Deep Transfer Learning Across Cancer Registries for Information Extraction from Pathology Reports.

[BibT_eX]

[DOI]

Mohammed M. Alawad

John X. Qiu

Jacob D. Hinkle

Hong-Jun Yoon

Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

2018

Hierarchical attention networks for information extraction from cancer pathology reports.

[BibT_eX]

[DOI]

Paul A. Fearn

Georgia D. Tourassi

Arvind Ramanathan

J. Am. Medical Informatics Assoc., 2018

Deep clustering of protein folding simulations.

[BibT_eX]

[DOI]

BMC Bioinform., 2018

Hierarchical Convolutional Attention Networks for Text Classification.

[BibT_eX]

[DOI]