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ORCIDJoshua L. Phillips
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2020 – today
- 2024
[j3]Adel Mahfooz
, Joshua L. Phillips:
Conditional Forecasting of Bitcoin Prices Using Exogenous Variables. IEEE Access 12: 44510-44526 (2024)- 2022
- [c16]Joshua Miller, Shawheen Naderi, Chaning Mullinax, Joshua L. Phillips:
Attention Is Not Enough. CogSci 2022 - 2021
- [c15]Ngozi Omatu, Joshua L. Phillips:
Benefits of combining dimensional attention and working memory for partially observable reinforcement learning problems. ACM Southeast Conference 2021: 209-213 - [c14]Heena Khan, Joshua L. Phillips:
Language agnostic model: detecting islamophobic content on social media. ACM Southeast Conference 2021: 229-233 - [c13]Scott P. Morton, Joshua L. Phillips:
Computational Electrostatics Predict Variations in SARS-CoV-2 Spike and Human ACE2 Interactions. BIBM 2021: 2002-2009 - [c12]Scott P. Morton, Joshua L. Phillips:
pH Dependent Binding Energies of Broadly Neutralizing Antibodies. BIBM 2021: 2533-2540 - [c11]David W. Ludwig, Lucas W. Remedios, Joshua L. Phillips:
A Neurobiologically-inspired Deep Learning Framework for Autonomous Context Learning. ICTAI 2021: 97-104 - 2020
- [j2]Ivan Syzonenko, Joshua L. Phillips:
Accelerated Protein Folding Using Greedy-Proximal A. J. Chem. Inf. Model. 60(6): 3093-3104 (2020) - [c10]Arthur Williams, Joshua L. Phillips:
Transfer Reinforcement Learning Using Output-Gated Working Memory. AAAI 2020: 1324-1331 - [c9]Nibraas Khan, Joshua L. Phillips:
Combined Model for Sensory-Based and Feedback-Based Task Switching: Solving Hierarchical Reinforcement Learning Problems Statically and Dynamically with Transfer Learning. ICTAI 2020: 301-308
2010 – 2019
- 2019
- [i1]Nibraas Khan, Joshua L. Phillips:
Combined Model for Partially-Observable and Non-Observable Task Switching: Solving Hierarchical Reinforcement Learning Problems. CoRR abs/1911.10425 (2019) - 2018
- [c8]Ivan Syzonenko, Joshua L. Phillips:
Hybrid Spectral/Subspace Clustering of Molecular Dynamics Simulations. BCB 2018: 325-330 - [c7]Scott P. Morton, Jonathan Howton, Joshua L. Phillips:
Sub-Class Differences of PH-Dependent HIV GP120-CD4 Interactions. BCB 2018: 663-668 - [c6]Joshua L. Phillips, Michael E. Colvin, Shawn D. Newsam:
Dimensionality Estimation of Protein Dynamics Using Polymer Models. BCB 2018: 675-680 - [c5]Arthur Williams, Joshua L. Phillips:
Multilayer Context Reasoning in a Neurobiologically Inspired Working Memory Model for Cognitive Robots. CogSci 2018 - 2017
- [c4]Jonathan Howton, Joshua L. Phillips:
Computational Modeling of pH-dependent gp120-CD4 Interactions in Founder and Chronic HIV Strains. BCB 2017: 644-649 - [c3]Scott P. Morton, Julie B. Phillips, Joshua L. Phillips:
High-throughput structural modeling of the HIV transmission bottleneck. BIBM 2017: 1915-1922 - [c2]Grayson M. Dubois, Joshua L. Phillips:
Working Memory Concept Encoding Using Holographic Reduced Representations. MAICS 2017: 137-144 - 2012
- [b1]Joshua L. Phillips:
Validation of computational approaches for studying disordered and unfolded protein dynamics using polymer models. University of California, Merced, USA, 2012 - 2011
- [j1]Joshua L. Phillips, Michael E. Colvin, Shawn D. Newsam:
Validating Clustering of Molecular Dynamics Simulations Using Polymer Models. BMC Bioinform. 12: 445 (2011)
2000 – 2009
- 2005
- [c1]Joshua L. Phillips, David C. Noelle:
A biologically inspired working memory framework for robots. RO-MAN 2005: 599-604
Coauthor Index
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