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Derek Jones
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2020 – today
- 2023
- [j9]Garrett A. Stevenson
, Dan Kirshner, Brian J. Bennion, Yue Yang, Xiaohua Zhang, Adam T. Zemla, Marisa W. Torres, Aidan Epstein, Derek Jones
Clustering Protein Binding Pockets and Identifying Potential Drug Interactions: A Novel Ligand-Based Featurization Method. J. Chem. Inf. Model. 63(21): 6655-6666 (2023) - [i3]Derek Jones, Jonathan E. Allen, Xiaohua Zhang, Behnam Khaleghi, Jaeyoung Kang, Weihong Xu, Niema Moshiri, Tajana Simunic Rosing:
HD-Bind: Encoding of Molecular Structure with Low Precision, Hyperdimensional Binary Representations. CoRR abs/2303.15604 (2023) - 2022
- [p1]Lay-Wah Carolina Ching-Chiang
From Digital Divide to Digital Discovery: Re-thinking Online Learning and Interactions in Marginalized Communities. Innovation Practices for Digital Transformation in the Global South 2022: 34-58 - 2021
- [j8]Sam Ade Jacobs
Enabling rapid COVID-19 small molecule drug design through scalable deep learning of generative models. Int. J. High Perform. Comput. Appl. 35(5) (2021) - [j7]Derek Jones
Improved Protein-Ligand Binding Affinity Prediction with Structure-Based Deep Fusion Inference. J. Chem. Inf. Model. 61(4): 1583-1592 (2021) - [c7]Garrett A. Stevenson
High-throughput virtual screening of small molecule inhibitors for SARS-CoV-2 protein targets with deep fusion models. SC 2021: 74 - [i2]Garrett A. Stevenson, Derek Jones, Hyojin Kim, W. F. Drew Bennett, Brian J. Bennion, Monica Borucki, Feliza Bourguet, Aidan Epstein, Magdalena Franco, Brooke Harmon, Stewart He, Max P. Katz, Daniel A. Kirshner, Victoria Lao, Edmond Y. Lau, Jacky Lo, Kevin McLoughlin, Richard Mosesso, Deepa K. Murugesh, Oscar A. Negrete, Edwin A. Saada
High-Throughput Virtual Screening of Small Molecule Inhibitors for SARS-CoV-2 Protein Targets with Deep Fusion Models. CoRR abs/2104.04547 (2021) - 2020
- [j6]Fangqiang Zhu
Binding Affinity Prediction by Pairwise Function Based on Neural Network. J. Chem. Inf. Model. 60(6): 2766-2772 (2020) - [j5]W. F. Drew Bennett
Predicting Small Molecule Transfer Free Energies by Combining Molecular Dynamics Simulations and Deep Learning. J. Chem. Inf. Model. 60(11): 5375-5381 (2020) - [i1]Derek Jones, Hyojin Kim, Xiaohua Zhang, Adam T. Zemla, Garrett Stevenson, William D. Bennett, Dan Kirshner, Sergio Ernesto Wong, Felice C. Lightstone, Jonathan E. Allen:
Improved Protein-ligand Binding Affinity Prediction with Structure-Based Deep Fusion Inference. CoRR abs/2005.07704 (2020)
2010 – 2019
- 2019
- [c6]Brian Lee, Andrew Jackson, Tom Madams, Seth Troisi, Derek Jones:
Minigo: A Case Study in Reproducing Reinforcement Learning Research. RML@ICLR 2019 - 2018
- [c5]Gowtham Krishnan Murugesan
Single season changes in resting state network power and the connectivity between regions distinguish head impact exposure level in high school and youth football players. Computer-Aided Diagnosis 2018: 105750F - [c4]Behrouz Saghafi, Gowtham Murugesan
Quantifying the association between white matter integrity changes and subconcussive head impact exposure from a single season of youth and high school football using 3D convolutional neural networks. Computer-Aided Diagnosis 2018: 105750E - 2017
- [c3]Gowtham Murugesan
Changes in resting state MRI networks from a single season of football distinguishes controls, low, and high head impact exposure. ISBI 2017: 464-467 - 2015
- [j4]Derek Jones, Anthony F. Beavers
Editors' introduction. J. Exp. Theor. Artif. Intell. 27(1): 1-2 (2015) - 2014
- [j3]Anthony F. Beavers
Philosophy in the Age of Information: A Symposium on Luciano Floridi's The Philosophy of Information. Minds Mach. 24(1): 1-3 (2014) - 2013
- [j2]Derek Jones
Building Information Modelling Design Ecologies: A New Model? Int. J. 3 D Inf. Model. 2(1): 53-64 (2013) - [c2]Gemma Wilson, Derek Jones, Patricia Schofield, Denis Martin
The use of the Sensecam to explore daily functioning of older adults with chronic pain. SenseCam 2013: 76-77 - 2012
- [j1]Derek Jones:
What do animat models model? J. Exp. Theor. Artif. Intell. 24(4): 475-488 (2012)
2000 – 2009
- 2004
- [c1]Nicholas Lange, Derek Jones, Carlo Pierpaoli:
A Closed-Form Method for Improving Inter-Subject Coherence in Diffusion Tensor Magnetic Resonance Imaging. ISBI 2004: 1506-1509
Coauthor Index
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