Energy efficient stochastic-based deep spiking neural networks for sparse datasets. - Mohammed M. Alawad; Hong-Jun Yoon; Georgia D. Tourassi (IEEE BigData, 2017)

Coarse-to-fine multi-task training of convolutional neural networks for automated information extraction from cancer pathology reports. - Mohammed M. Alawad; Hong-Jun Yoon; Georgia D. Tourassi (BHI, 2018)

Retrofitting Word Embeddings with the UMLS Metathesaurus for Clinical Information Extraction. - Mohammed M. Alawad; S. M. Shamimul Hasan; James Blair Christian; Georgia D. Tourassi (IEEE BigData, 2018)

FPGA Hardware Implementation of Smart Home Autonomous System Based on Deep Learning. - Basman M. Hasan Alhafidh; Amar I. Daood; Mohammed M. Alawad; William H. Allen (ICIOT, 2018)

Deep Transfer Learning Across Cancer Registries for Information Extraction from Pathology Reports. - Mohammed M. Alawad; Shang Gao 008; John X. Qiu; Noah Schaefferkoetter; Jacob D. Hinkle; Hong-Jun Yoon; James Blair Christian; Xiao-Cheng Wu; Eric B. Durbin; Jong Cheol Jeong; Isaac Hands; David Rust; et al. (BHI, 2019)

Semi-Supervised Information Extraction for Cancer Pathology Reports. - John X. Qiu; Shang Gao 008; Mohammed M. Alawad; Noah Schaefferkoetter; Folami Alamudun; Hong-Jun Yoon; Xiao-Cheng Wu; Georgia D. Tourassi (BHI, 2019)

Model-based Hyperparameter Optimization of Convolutional Neural Networks for Information Extraction from Cancer Pathology Reports on HPC. - Hong-Jun Yoon; John Gounley; Shang Gao 008; Mohammed M. Alawad; Arvind Ramanathan; Georgia D. Tourassi (BHI, 2019)

Adversarial Training for Privacy-Preserving Deep Learning Model Distribution. - Mohammed M. Alawad; Shang Gao 008; Xiao-Cheng Wu; Eric B. Durbin; Linda Coyle; Lynne Penberthy; Georgia D. Tourassi (IEEE BigData, 2019)

Computationally Efficient Learning of Quality Controlled Word Embeddings for Natural Language Processing. - Mohammed M. Alawad; Georgia D. Tourassi (ISVLSI, 2019)

Classifying cancer pathology reports with hierarchical self-attention networks. - Shang Gao 008; John X. Qiu; Mohammed M. Alawad; Jacob D. Hinkle; Noah Schaefferkoetter; Hong-Jun Yoon; James Blair Christian; Paul A. Fearn; Lynne Penberthy; Xiao-Cheng Wu; Linda Coyle; Georgia D. Tourassi; et al. (Artif. Intell. Medicine, 2019)

Automatic extraction of cancer registry reportable information from free-text pathology reports using multitask convolutional neural networks. - Mohammed M. Alawad; Shang Gao 008; John X. Qiu; Hong-Jun Yoon; James Blair Christian; Lynne Penberthy; Brent J. Mumphrey; Xiao-Cheng Wu; Linda Coyle; Georgia D. Tourassi (J. Am. Medical Informatics Assoc., 2020)

Accelerated training of bootstrap aggregation-based deep information extraction systems from cancer pathology reports. - Hong-Jun Yoon; Hilda B. Klasky; John P. Gounley; Mohammed M. Alawad; Shang Gao 008; Eric B. Durbin; Xiao-Cheng Wu; Antoinette Stroup; Jennifer A. Doherty; Linda Coyle; Lynne Penberthy; James Blair Christian; et al. (J. Biomed. Informatics, 2020)

Deep active learning for classifying cancer pathology reports. - Kevin De Angeli; Shang Gao 008; Mohammed M. Alawad; Hong-Jun Yoon; Noah Schaefferkoetter; Xiao-Cheng Wu; Eric B. Durbin; Jennifer A. Doherty; Antoinette Stroup; Linda Coyle; Lynne Penberthy; Georgia D. Tourassi (BMC Bioinform., 2021)

Integration of Domain Knowledge using Medical Knowledge Graph Deep Learning for Cancer Phenotyping. - Mohammed M. Alawad; Shang Gao 008; 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 (CoRR, 2021)

Privacy-Preserving Deep Learning NLP Models for Cancer Registries. - Mohammed M. Alawad; Hong-Jun Yoon; Shang Gao 008; Brent J. Mumphrey; Xiao-Cheng Wu; Eric B. Durbin; Jong Cheol Jeong; Isaac Hands; David Rust; Linda Coyle; Lynne Penberthy; Georgia D. Tourassi (IEEE Trans. Emerg. Top. Comput., 2021)

Limitations of Transformers on Clinical Text Classification. - Shang Gao 008; Mohammed M. Alawad; M. Todd Young; John Gounley; Noah Schaefferkoetter; Hong-Jun Yoon; Xiao-Cheng Wu; Eric B. Durbin; Jennifer A. Doherty; Antoinette Stroup; Linda Coyle; Georgia D. Tourassi (IEEE J. Biomed. Health Informatics, 2021)