Edmon Begoli Director, Center for AI Security Research (CAISER) Contact 865.576.0599 | BEGOLIE@ORNL.GOV All Publications DOME: Directional medical embedding vectors from Electronic Health Records Lantern: An Interactive Adversarial AI Workbench A Compound Data Poisoning Technique with Significant Adversarial Effects on Transformer-based Sentiment Classification Tasks Semantic Stealth: Crafting Covert Adversarial Patches for Sentiment Classifiers Using Large Language Models Diversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program Question-answering system extracts information on injection drug use from clinical notes... High dimensional predictions of suicide risk in 4.2 million US Veterans using ensemble transfer learning Multimodal representation learning for predicting molecule–disease relations... cpgQA: A Benchmark Dataset for Machine Reading Comprehension Tasks on Clinical Practice Guidelines and a Case Study Using Tra... BioADAPT-MRC: Adversarial Learning-based Domain Adaptation Improves Biomedical Machine Reading Comprehension Task Unstructured clinical notes within the 24 hours since admission predict short, mid & long-term mortality in adult ICU patients Performance Profile of Transformer Fine-Tuning in Multi-GPU Cloud Environments A Lakehouse Architecture for the Management and Analysis of Heterogeneous Data for Biomedical Research and Mega-biobanks 2021 GeoAI Workshop Report: The Trillion Pixel Challenge Clinical knowledge extraction via sparse embedding regression (KESER) with multi-center large scale electronic health record data Watermarks in stream processing systems: semantics and comparative analysis of Apache Flink and Google cloud dataflow Hospice Landscape Report What Clinical Trials Can Teach Us About the Development of More Resilient AI for Cybersecurity 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 Solving Hard Problems with AI: Dramatically Accelerating Drug Discovery Through A Unique Public-Private Partnership Unified Medical Language System resources improve sieve-based generation and Bidirectional Encoder Representations from Transformers (BERT)–based ranking for concept normalization JSONize: A Scalable Machine Learning Pipeline to Model Medical Notes as Semi-structured Documents Standardized Architecture for a Mega-Biobank Phenomic Library: The Million Veteran Program (MVP) Standardized Architecture for a Mega-Biobank Phenomic Library: The Million Veteran Program (MVP) First Experiments New Science Opportunities at the Spallation Neutron Source Second Target Station (abridged) Pagination Current page 1 Page 2 Next page ›â¶Äº Last page Last » Key Links Curriculum Vitae
