| Flowcon: Elastic flow configuration for containerized deep learning applications W Zheng, M Tynes, H Gorelick, Y Mao, L Cheng, Y Hou Proceedings of the 48th International Conference on Parallel Processing, 1-10, 2019 | 42 | 2019 |
| Pairwise difference regression: a machine learning meta-algorithm for improved prediction and uncertainty quantification in chemical search M Tynes, W Gao, DJ Burrill, ER Batista, D Perez, P Yang, N Lubbers Journal of chemical information and modeling 61 (8), 3846-3857, 2021 | 34 | 2021 |
| Can machines “learn” halide perovskite crystal formation without accurate physicochemical features? IM Pendleton, MK Caucci, M Tynes, A Dharna, MAN Nellikkal, Z Li, ... The Journal of Physical Chemistry C 124 (25), 13982-13992, 2020 | 13 | 2020 |
| Discrimination and hair cortisol concentration among asian, latinx and white young adults T Yip, P Smith, M Tynes, S Mirpuri, A Weems, YM Cheon Comprehensive Psychoneuroendocrinology 6, 100047, 2021 | 8 | 2021 |
| Determining the Activity Series with the Fewest Experiments Using Sorting Algorithms J Schrier, MF Tynes, L Cain Journal of Chemical Education 98 (5), 1653-1658, 2021 | 2 | 2021 |
| Linear Graphlet Models for Accurate and Interpretable Cheminformatics M Tynes, MG Taylor, J Janssen, DJ Burrill, D Perez, P Yang, N Lubbers | 1 | 2024 |
| Tensor Factorizations for Recommending Perovskite Crystallization Trials M Tynes Fordham University, 2020 | 1 | 2020 |
| minervachem N Lubbers, M Taylor, M Tynes Los Alamos National Laboratory (LANL), Los Alamos, NM (United States), 2024 | | 2024 |
| Prediction of models for ordered solvent in macromolecular structures by a classifier based upon resolution-independent projections of local feature data L Jones, M Tynes, P Smith Acta Crystallographica Section D: Structural Biology 75 (8), 696-717, 2019 | | 2019 |
| INSIGHTS FROM THE TWITTERVERSE: A STUDY OF WHAT TWITTER USERS SAY, AND FROM WHERE THEY SAY IT, ABOUT PREP FOR HIV PREVENTION JL Maksut, MF Tynes, D Snyder, K Dibble ANNALS OF BEHAVIORAL MEDICINE 52, S736-S736, 2018 | | 2018 |
| Can machines ‘learn’halide perovskite crystal formation without accurate physicochemical IM Pendleton, MK Caucci, M Tynes, A Dharna, M Ani, N Nellikkal, Z Li, ... | | |
Joshua SchrierKim B. and Stephen E. Bepler Chair Professor of Chemistry, Fordham UniversityBestätigte E-Mail-Adresse bei fordham.edu
