Coarse-to-Fine Multi-Task Training of Convolutional Neural Networks for Automated Information Extraction from Cancer Pathology Reports Conference Paper March, 2018
Filter pruning of Convolutional Neural Networks for text classification: A case study of cancer pathology report comprehension Conference Paper March, 2018
Energy Efficient Stochastic-Based Deep Spiking Neural Networks for Sparse Datasets Conference Paper December, 2017
ORNL Evaluation of Safety Cases for Two Belgian Reactor Pressure Vessels Containing Quasi-Laminar Defects Conference Paper July, 2017
FAVOR Version 16.1 – A Computer Code for Fracture Mechanics Analyses of Nuclear Reactor Pressure Vessels Conference Paper July, 2017
Geometry and Gesture-Based Features from Saccadic Eye-Movement as a Biometric in Radiology Conference Paper July, 2017
Neutron scattering to study membrane systems: from lipid vesicles to living cells. Conference Paper March, 2017
Automated Histologic Grading from Free-Text Pathology Reports Using Graph-of-Words Features and Machine Learning... Conference Paper February, 2017
Multi-Task Deep Neural Networks for Automated Extraction of Primary Site and Laterality Information from Cancer Pathology Rep... Conference Paper November, 2016
Shapelet Analysis of Pupil Dilation for Modeling Visuo-Cognitive Behavior in Screening Mammography Conference Paper March, 2016