Quasi-Anharmonic Analysis Reveals Intermediate States in the Nuclear Co-Activator Receptor Binding Domain Ensemble. - Virginia M. Burger; Arvind Ramanathan; Andrej J. Savol; Christopher B. Stanley; Pratul K. Agarwal; Chakra S. Chennubhotla (Pacific Symposium on Biocomputing, 2012)

Privacy-Preserving Knowledge Transfer with Bootstrap Aggregation of Teacher Ensembles. - Hong-Jun Yoon; Hilda B. Klasky; Eric B. Durbin; Xiao-Cheng Wu; Antoinette Stroup; Jennifer A. Doherty; Linda Coyle; Lynne Penberthy; Christopher B. Stanley; James Blair Christian; Georgia D. Tourassi (Poly/DMAH@VLDB, 2020)

How Distinct Structural Flexibility within SARS-CoV-2 Spike Protein Reveals Potential Therapeutic Targets. - Serena H. Chen; M. Todd Young; John Gounley; Christopher B. Stanley; Debsindhu Bhowmik (IEEE BigData, 2021)

Computer-aided Abnormality Detection in Chest Radiographs in a Clinical Setting via Domain-adaptation. - Abhishek Kumar Dubey; Michael T. Young; Christopher B. Stanley; Dalton D. Lunga; Jacob D. Hinkle (BIOIMAGING, 2021)

Optimal Balance of Privacy and Utility with Differential Privacy Deep Learning Frameworks. - Olivera Kotevska; Folami Alamudun; Christopher B. Stanley (CSCI, 2021)

Generalizable coordination of large multiscale workflows: challenges and learnings at scale. - Harsh Bhatia; Francesco Di Natale; Joseph Y. Moon; Xiaohua Zhang; Joseph R. Chavez; Fikret Aydin; Christopher B. Stanley; Tomas Oppelstrup; Chris Neale; Sara Kokkila Schumacher; Dong H. Ahn; Stephen Herbein; et al. (SC, 2021)

Secure Collaborative Environment for Seamless Sharing of Scientific Knowledge. - Srikanth B. Yoginath; Mathieu Doucet; Debsindhu Bhowmik; David Heise; Folami Alamudun; Hong-Jun Yoon; Christopher B. Stanley (SMC, 2021)

Using GANs with adaptive training data to search for new molecules. - Andrew E. Blanchard; Christopher B. Stanley; Debsindhu Bhowmik (J. Cheminformatics, 2021)

drtsans: The data reduction toolkit for small-angle neutron scattering at Oak Ridge National Laboratory. - William T. Heller; John Hetrick; Jean Bilheux; Jose M. Borreguero Calvo; Wei-Ren Chen; Lisa DeBeer-Schmitt; Changwoo Do; Mathieu Doucet; Michael R. Fitzsimmons; William F. Godoy; Garrett E. Granroth; Steven E. Hahn; et al. (SoftwareX, 2022)

ExpM+NF: Differentially Private Machine Learning that Surpasses DPSGD. - Robert A. Bridges; Vandy J. Tombs; Christopher B. Stanley (CoRR, 2023)