| K-nearest neighbors regression for the discrimination of gamma rays and neutrons in organic scintillators M Durbin, MA Wonders, M Flaska, AT Lintereur Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2021 | 27 | 2021 |
| Gamma-gamma coincidence performance of LaBr3: Ce scintillation detectors vs HPGe detectors in high count-rate scenarios A Drescher, M Yoho, S Landsberger, M Durbin, S Biegalski, D Meier, ... Applied Radiation and Isotopes 122, 116-120, 2017 | 24 | 2017 |
| Improving radioactive material localization by leveraging cyber-security model optimizations R Sheatsley, M Durbin, A Lintereur, P McDaniel IEEE Sensors Journal 21 (8), 9994-10006, 2021 | 9 | 2021 |
| Implementation of machine learning algorithms for detecting missing radioactive material M Durbin, A Lintereur Journal of Radioanalytical and Nuclear Chemistry 324 (3), 1455-1461, 2020 | 7 | 2020 |
| Development of a fully connected residual neural network for directional gamma ray detection M Durbin, C Balbier, A Lintereur International Journal of Modern Physics: Conference Series 50, 2060010, 2020 | 5 | 2020 |
| Application of a novel machine learning approach to SiPM-based neutron/gamma detection and discrimination M Durbin, MA Wonders, AT Lintereur, M Flaska 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2019 | 4 | 2019 |
| Machine learning applications for the detection of missing radioactive sources M Durbin, A Kuntz, A Lintereur 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2019 | 3 | 2019 |
| Experimental tests of Gamma-ray Localization Aided with Machine-learning (GLAM) capabilities M Durbin, R Sheatsley, P McDaniel, A Lintereur Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2022 | 2 | 2022 |
| Development of machine learning algorithms for directional gamma ray detection M Durbin, R Sheatsley, C Balbier, T Grieve, P McDaniel, A Lintereur Proc. Inst. Nuclear Mater. Manage., 1-10, 2019 | 1 | 2019 |
| Application of Machine Learning Techniques for Radioactive Material Localization with an Array of NaI Detectors M Durbin | | 2022 |
| A Machine Learning Regression Approach for Pulse Shape Discrimination in Organic Scintillators M Durbin, M Wonders, M Flaska, A Lintereur Transactions of the American Nuclear Society 125 (1), 74-76, 2021 | | 2021 |
| A Multi-Step Machine Learning Approach to Directional Gamma Ray Detection M Durbin, R Sheatlsey, P McDaniel, A Lintereur 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2020 | | 2020 |
| FEATURE ENGINEERING: A CASE STUDY FOR RADIATION SOURCE LOCALIZATION IN COMPLICATED ENVIRONMENTS M Durbin, P McDaniel, R Sheatsley, A Lintereur | | |
