| Scalable technologies achieving risk-informed condition-based predictive maintenance enhancing the economic performance of operating nuclear power plants V Agarwal, KA Manjunatha, AV Gribok, TJ Mortenson, H Bao, RD Reese, ... Idaho National Laboratory (INL), Idaho Falls, ID (United States), 2021 | 18 | 2021 |
| Feature screening of ultrahigh dimensional feature spaces with applications in interaction screening RD Reese Utah State University, 2018 | 6 | 2018 |
| Strong sure screening of ultra-high dimensional data with interaction effects R Reese, X Dai, G Fu arXiv preprint arXiv:1801.07785, 2018 | 5 | 2018 |
| Strong sure screening of ultra-high dimensional categorical data R Reese, X Dai, G Fu arXiv preprint arXiv:1801.03539, 2018 | 4 | 2018 |
| Detecting PCOS susceptibility loci from genome-wide association studies via iterative trend correlation based feature screening X Dai, G Fu, R Reese BMC bioinformatics 21, 1-15, 2020 | 3 | 2020 |
| An approach of Bayesian variable selection for ultrahigh‐dimensional multivariate regression X Dai, G Fu, R Reese, S Zhao, Z Shang Stat 11 (1), e476, 2022 | 2 | 2022 |
| Anomaly Detection and Identification Using a Leave-One-Variable-Out Method JA Farber, AY Al Rashdan, RD Reese Idaho National Laboratory (INL), Idaho Falls, ID (United States), 2023 | 1 | 2023 |
| YOLO for Radio Frequency Signal Classification TQ Anna, RD Reese 2024 IEEE International Symposium on Dynamic Spectrum Access Networks …, 2024 | | 2024 |
| YOLO for Radio Frequency Signal Classification RD Reese, AT Quach Idaho National Laboratory (INL), Idaho Falls, ID (United States), 2024 | | 2024 |
| Extending Data-Driven Anomaly Detection Methods to Transient Power Conditions in Nuclear Power Plants JA Farber, AY Al Rashdan, RD Reese, A Sundaram, H Abdel-Khalik Idaho National Laboratory (INL), Idaho Falls, ID (United States), 2023 | | 2023 |
| Epistasis Detection via the Joint Cumulant R Reese, G Fu, G Zhao, X Dai, X Li, K Chiu Statistics in Biosciences 14 (3), 514-532, 2022 | | 2022 |
| An Overview of the Usefulness of Machine Learning Techniques on Network Packet Data JC Wadsworth, S Staples, KW Derr, CD Becker, MW Anderson, RD Reese Idaho National Lab.(INL), Idaho Falls, ID (United States), 2021 | | 2021 |
| TERMS SPM: Scalable Predictive Analytics for Nuclear Plant Assets KA Manjunatha, V Agarwal, A Gribok, R Reese | | 2021 |
| Marginal and Interactive Feature Screening of Ultra-high Dimensional Feature Spaces with Multivariate Response R Reese arXiv preprint arXiv:1911.06955, 2019 | | 2019 |
| PRISM J Money, R Reese, M Sterbentz Idaho National Laboratory (INL), Idaho Falls, ID (United States), 2019 | | 2019 |
| PRISM Presentation RD Reese Idaho National Lab.(INL), Idaho Falls, ID (United States), 2019 | | 2019 |
| PRISM: Progressive Resolution for Imaging & Storage Management J Money, R Reese, M Sterbentz | | 2018 |
