Eric Chalmers

According to our database, Eric Chalmers authored at least 17 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Simulated synapse loss induces depression-like behaviors in deep reinforcement learning.

Eric Chalmers, Santina Duarte, Xena Al-Hejji, Daniel Devoe, Aaron J. Gruber, Robert J. McDonald

Frontiers Comput. Neurosci., 2024

2023

Four attributes of intelligence, a thousand questions.

Matthieu Bardal, Eric Chalmers

Biol. Cybern., December, 2023

Hippocluster: An efficient, hippocampus-inspired algorithm for graph clustering.

Eric Chalmers, Aaron J. Gruber, Artur Luczak

Inf. Sci., August, 2023

Reinforcement Learning with Brain-Inspired Modulation Improves Adaptation to Environmental Changes.

Eric Chalmers, Artur Luczak

Proceedings of the Artificial Intelligence and Soft Computing, 2023

2022

Combining backpropagation with Equilibrium Propagation to improve an Actor-Critic reinforcement learning framework.

Yoshimasa Kubo, Eric Chalmers, Artur Luczak

Frontiers Comput. Neurosci., 2022

Hippocluster: an efficient, hippocampus-inspired algorithm for graph clustering.

Eric Chalmers, Artur Luczak

CoRR, 2022

Reinforcement Learning with Brain-Inspired Modulation can Improve Adaptation to Environmental Changes.

Eric Chalmers, Artur Luczak

CoRR, 2022

Biologically-inspired neuronal adaptation improves learning in neural networks.

Yoshimasa Kubo, Eric Chalmers, Artur Luczak

CoRR, 2022

2019

A Deep Convolutional Auto-encoder with Pooling - Unpooling Layers in Caffe.

Volodymyr Turchenko, Eric Chalmers, Artur Luczak

Int. J. Comput., 2019

2018

Learning to Predict Consequences as a Method of Knowledge Transfer in Reinforcement Learning.

Eric Chalmers, Edgar Bermudez Contreras, Brandon Robertson, Artur Luczak, Aaron J. Gruber

IEEE Trans. Neural Networks Learn. Syst., 2018

Machine Learning with Certainty: A Requirement for Intelligent Process Automation.

Eric Chalmers

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

2016

Computational Properties of the Hippocampus Increase the Efficiency of Goal-Directed Foraging through Hierarchical Reinforcement Learning.

Eric Chalmers, Artur Luczak, Aaron J. Gruber

Frontiers Comput. Neurosci., 2016

Context-switching and adaptation: Brain-inspired mechanisms for handling environmental changes.

Eric Chalmers, Edgar Bermudez Contreras, Brandon Robertson, Artur Luczak, Aaron J. Gruber

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Human Experts' and a Fuzzy Model's Predictions of Outcomes of Scoliosis Treatment: A Comparative Analysis.

Eric Chalmers, Witold Pedrycz, Edmond Lou

IEEE Trans. Biomed. Eng., 2015

Predicting success or failure of brace treatment for adolescents with idiopathic scoliosis.

Eric Chalmers, Lindsey Westover, Johith Jacob, Andreas Donauer, H. Vicky Zhao, Eric C. Parent, Marc J. Moreau, James K. Mahood, Douglas Hedden, Edmond Lou

Medical Biol. Eng. Comput., 2015

2014

Toward maximum-predictive-value classification.

Eric Chalmers, Marcin Mizianty, Eric C. Parent, Yan Yuan, Edmond Lou

Pattern Recognit., 2014

2013

Predicting the outcome of brace treatment for scoliosis using conditional fuzzy clustering.

Eric Chalmers, Witold Pedrycz, Edmond Lou

Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013