Predicting Drug Effects from High-dimensional Asymmetric Drug Data Sets using Graph Neural Networks: A Comprehensive Analysis... Conference Paper December, 2024
SNNVis: Visualizing Graph Embedding of Evolutionary Optimization for Spiking Neural Networks Conference Paper December, 2024
Estimating Critical Customer Outages Resulting from Extreme Hurricanes Conference Paper December, 2024
Impacts of floating-point non-associativity on reproducibility for HPC and deep learning applications Conference Paper November, 2024
Workflow Provenance in the Computing Continuum for Responsible, Trustworthy, and Energy-Efficient AI Conference Paper September, 2024
Smart pixel sensors: towards on-sensor filtering of pixel clusters with deep learning Journal August, 2024
Correlating Power Outage Spread with Infrastructure Interdependencies During Hurricanes Conference Paper August, 2024
Oak Ridge National Laboratory's Strategic Research and Development Insights for Digital Twins ORNL Report July, 2024
Efficacy of using a dynamic length representation vs. a fixed-length for neuroarchitecture search Conference Paper July, 2024
HumoNet: A Framework for Realistic Modeling and Simulation of Human Mobility Network Conference Paper July, 2024
