Predicting the outcome of brace treatment for scoliosis using conditional fuzzy clustering. - Eric Chalmers; Witold Pedrycz; Edmond Lou (IFSA/NAFIPS, 2013)

Toward maximum-predictive-value classification. - Eric Chalmers; Marcin Mizianty; Eric C. Parent; Yan Yuan; Edmond Lou (Pattern Recognit., 2014)

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)

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)

Context-switching and adaptation: Brain-inspired mechanisms for handling environmental changes. - Eric Chalmers; Edgar Bermudez Contreras; Brandon Robertson; Artur Luczak; Aaron J. Gruber (IJCNN, 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)

Machine Learning with Certainty: A Requirement for Intelligent Process Automation. - Eric Chalmers (ICMLA, 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)

A Deep Convolutional Auto-encoder with Pooling - Unpooling Layers in Caffe. - Volodymyr Turchenko; Eric Chalmers; Artur Luczak (Int. J. Comput., 2019)

Biologically-inspired neuronal adaptation improves learning in neural networks. - Yoshimasa Kubo; Eric Chalmers; Artur Luczak (CoRR, 2022)

Reinforcement Learning with Brain-Inspired Modulation can Improve Adaptation to Environmental Changes. - Eric Chalmers; Artur Luczak (CoRR, 2022)

Hippocluster: an efficient, hippocampus-inspired algorithm for graph clustering. - Eric Chalmers; Artur Luczak (CoRR, 2022)

Combining backpropagation with Equilibrium Propagation to improve an Actor-Critic reinforcement learning framework. - Yoshimasa Kubo; Eric Chalmers; Artur Luczak (Frontiers Comput. Neurosci., 2022)

Reinforcement Learning with Brain-Inspired Modulation Improves Adaptation to Environmental Changes. - Eric Chalmers; Artur Luczak (ICAISC (1), 2023)

Hippocluster: An efficient, hippocampus-inspired algorithm for graph clustering. - Eric Chalmers; Aaron J. Gruber; Artur Luczak (Inf. Sci., 2023)

Four attributes of intelligence, a thousand questions. - Matthieu Bardal; Eric Chalmers (Biol. Cybern., 2023)

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)

A model of how hierarchical representations constructed in the hippocampus are used to navigate through space. - Eric Chalmers; Matthieu Bardal; Robert J. McDonald; Edgar Bermudez Contreras (Adapt. Behav., 2025)