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ORCIDEric Chalmers
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2020 – today
- 2024
[j10]Eric Chalmers, Santina Duarte, Xena Al-Hejji, Daniel Devoe, Aaron J. Gruber, Robert J. McDonald:
Simulated synapse loss induces depression-like behaviors in deep reinforcement learning. Frontiers Comput. Neurosci. 18 (2024)- 2023
- [j9]Matthieu Bardal, Eric Chalmers:
Four attributes of intelligence, a thousand questions. Biol. Cybern. 117(6): 407-409 (2023) - [j8]Eric Chalmers, Aaron J. Gruber, Artur Luczak
:
Hippocluster: An efficient, hippocampus-inspired algorithm for graph clustering. Inf. Sci. 639: 118999 (2023) - [c4]Eric Chalmers, Artur Luczak:
Reinforcement Learning with Brain-Inspired Modulation Improves Adaptation to Environmental Changes. ICAISC (1) 2023: 23-34 - 2022
- [j7]Yoshimasa Kubo, Eric Chalmers, Artur Luczak:
Combining backpropagation with Equilibrium Propagation to improve an Actor-Critic reinforcement learning framework. Frontiers Comput. Neurosci. 16 (2022) - [i4]Yoshimasa Kubo, Eric Chalmers, Artur Luczak:
Biologically-inspired neuronal adaptation improves learning in neural networks. CoRR abs/2204.14008 (2022) - [i3]Eric Chalmers, Artur Luczak:
Reinforcement Learning with Brain-Inspired Modulation can Improve Adaptation to Environmental Changes. CoRR abs/2205.09729 (2022) - [i2]Eric Chalmers, Artur Luczak:
Hippocluster: an efficient, hippocampus-inspired algorithm for graph clustering. CoRR abs/2205.12338 (2022)
2010 – 2019
- 2019
- [j6]Volodymyr Turchenko, Eric Chalmers, Artur Luczak:
A Deep Convolutional Auto-encoder with Pooling - Unpooling Layers in Caffe. Int. J. Comput. 18: 8-31 (2019) - 2018
- [j5]Eric Chalmers, Edgar Bermudez Contreras, Brandon Robertson, Artur Luczak, Aaron J. Gruber:
Learning to Predict Consequences as a Method of Knowledge Transfer in Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 29(6): 2259-2270 (2018) - [c3]Eric Chalmers:
Machine Learning with Certainty: A Requirement for Intelligent Process Automation. ICMLA 2018: 299-304 - 2017
- [i1]Volodymyr Turchenko, Eric Chalmers, Artur Luczak:
A Deep Convolutional Auto-Encoder with Pooling - Unpooling Layers in Caffe. CoRR abs/1701.04949 (2017) - 2016
- [j4]Eric Chalmers, Artur Luczak, Aaron J. Gruber:
Computational Properties of the Hippocampus Increase the Efficiency of Goal-Directed Foraging through Hierarchical Reinforcement Learning. Frontiers Comput. Neurosci. 10: 128 (2016) - [c2]Eric Chalmers, Edgar Bermudez Contreras, Brandon Robertson, Artur Luczak, Aaron J. Gruber:
Context-switching and adaptation: Brain-inspired mechanisms for handling environmental changes. IJCNN 2016: 3522-3529 - 2015
- [j3]Eric Chalmers, Lindsey Westover, Johith Jacob, Andreas Donauer, H. Vicky Zhao, Eric C. Parent, Marc J. Moreau, James K. Mahood, Douglas Hedden, Edmond Lou:
Predicting success or failure of brace treatment for adolescents with idiopathic scoliosis. Medical Biol. Eng. Comput. 53(10): 1001-1009 (2015) - [j2]Eric Chalmers, Witold Pedrycz, Edmond Lou:
Human Experts' and a Fuzzy Model's Predictions of Outcomes of Scoliosis Treatment: A Comparative Analysis. IEEE Trans. Biomed. Eng. 62(3): 1001-1007 (2015) - 2014
- [j1]Eric Chalmers, Marcin Mizianty, Eric C. Parent, Yan Yuan, Edmond Lou:
Toward maximum-predictive-value classification. Pattern Recognit. 47(12): 3949-3958 (2014) - 2013
- [c1]Eric Chalmers, Witold Pedrycz, Edmond Lou:
Predicting the outcome of brace treatment for scoliosis using conditional fuzzy clustering. IFSA/NAFIPS 2013: 837-842
Coauthor Index
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