Georgia Tourassi Associate Laboratory Director Contact 865.574.6224 | tourassig@ornl.gov All Publications Summary Report of the SOS26 Workshop held March 11-14, 2024 Development of message passing-based graph convolutional networks for classifying cancer pathology reports... Machine learning and deep learning tools for the automated capture of cancer surveillance data Topological Interpretability for Deep Learning... 2022 Operational Assessment - OLCF Deep learning uncertainty quantification for clinical text classification Characterizing Quantum Classifier Utility in Natural Language Processing Workflows Evaluation of pre-training large language models on leadership-class supercomputers Scaling Resolution of Gigapixel Whole Slide Images Using Spatial Decomposition on Convolutional Neural Networks... High-performance computing leadership to enable advances in artificial intelligence and a thriving compute ecosystem Using ensembles and distillation to optimize the deployment of deep learning models for the classification of electronic cancer pathology reports 2021 Operational Assessment - OLCF Optimal vocabulary selection approaches for privacy-preserving deep NLP model training for information extraction and cancer epidemiology A Keyword-Enhanced Approach to Handle Class Imbalance in Clinical Text Classification Class imbalance in out-of-distribution datasets: Improving the robustness of the TextCNN for the classification of rare cancer types Artificial intelligence in cancer research, diagnosis and therapy Quantifying Vulnerability of Privacy Attacks toward the MT-CNN models for Information Extraction from Cancer Pathology Reports Pharmacoepidemiology, Machine Learning and COVID-19: An intent-to-treat analysis of hydroxychloroquine, with or without azithromycin, and COVID-19 outcomes amongst hospitalized US Veterans Privacy-Preserving Knowledge Transfer with Bootstrap Aggregation of Teacher Ensembles Limitations of Transformers on Clinical Text Classification Multimodal Data Representation with Deep Learning for Extracting Cancer Characteristics from Clinical Text Accelerated training of bootstrap aggregation-based deep information extraction systems from cancer pathology reports COOPERATIVE RESEARCH AND DEVELOPMENT AGREEMENT WITH GEORGETOWN UNIVERSITY REPORT Knowledge Graph-Enabled Cancer Data Analytics US Department of Energy, Office of Science High Performance Computing Facility Operational Assessment 2019 Oak Ridge Leadership Computing Facility Pagination Current page 1 Page 2 Page 3 … Next page ›› Last page Last » Key Links Curriculum Vitae ORCID Organizations Computing and Computational Sciences Directorate National Center for Computational Sciences National Center for Computational Sciences Oak Ridge Leadership Computing Facility User Facilities Oak Ridge Leadership Computing Facility