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IEEE Transactions on Neural Networks and Learning Systems|October 4, 2018
Quantized Minimum Error Entropy CriterionBadong Chen, Lei Xing, Nanning Zheng, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 16, 2007
Robust single-trial ERP estimation based on spatiotemporal filteringRuijiang Li, Jose C Principe, Margaret Bradley, et al.
Neural Computation|November 9, 2019
On Kernel Method-Based Connectionist Models and Supervised Deep Learning Without BackpropagationShiyu Duan, Shujian Yu, Yunmei Chen, et al.
IEEE Transactions on Bio-Medical Engineering|October 7, 2010
A new spatiotemporal filtering method for single-trial estimation of correlated ERP subcomponentsDelaram Jarchi, Saeid Sanei, Jose C Principe, et al.
IEEE Transactions on Bio-Medical Engineering|February 20, 2009
A spatiotemporal filtering methodology for single-trial ERP component estimationRuijiang Li, Jose C Principe, Margaret Bradley, et al.
Neural Networks : the Official Journal of the International Neural Network Society|March 26, 2022
A self-learning cognitive architecture exploiting causality from rewardsHongming Li, Ran Dou, Andreas Keil, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 24, 2009
Neuronal tuning in a brain-machine interface during Reinforcement LearningBabak Mahmoudi, Jack Digiovanna, Jose C Principe, et al.
IEEE Transactions on Neural Networks|March 29, 2006
Modeling and inverse controller design for an unmanned aerial vehicle based on the self-organizing mapJeongho Cho, Jose C Principe, Deniz Erdogmus, et al.
Neural Networks : the Official Journal of the International Neural Network Society|April 26, 2021
Unsupervised foveal vision neural architecture with top-down attentionRyan Burt, Nina N Thigpen, Andreas Keil, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|August 26, 2006
Feature extraction using information-theoretic learningKenneth E Hild, Deniz Erdogmus, Kari Torkkola, et al.
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