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Michael Tynes
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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
412019
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
252021
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
132020
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
82021
Linear Graphlet Models for Accurate and Interpretable Cheminformatics
M Tynes, MG Taylor, J Janssen, DJ Burrill, D Perez, P Yang, N Lubbers
12024
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
12021
Tensor Factorizations for Recommending Perovskite Crystallization Trials
M Tynes
Fordham University, 2020
12020
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, ...
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