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Jose C Principe

Showing results (11-20 of 114) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
The Embedding Transform. A Novel Analysis of Non-Stationarity in the EEGCarlos A Loza, Jose C Principe
IEEE Transactions on Neural Networks and Learning Systems|January 7, 2020
An Exact Reformulation of Feature-Vector-Based Radial-Basis-Function Networks for Graph-Based ObservationsIsaac J Sledge, Jose C Principe
IEEE Transactions on Bio-Medical Engineering|November 17, 2015
Learning Recurrent Waveforms Within EEGsAustin J Brockmeier, Jose C Principe
IEEE Transactions on Neural Networks|October 6, 2004
Advanced search algorithms for information-theoretic learning with kernel-based estimatorsRodney A Morejon, Jose C Principe
IEEE Transactions on Neural Networks and Learning Systems|October 29, 2021
Faster Convergence in Deep-Predictive-Coding Networks to Learn Deeper RepresentationsIsaac J Sledge, Jose C Principe
Current Opinion in Neurobiology|August 13, 2014
Representing and decomposing neural potential signalsJose C Principe, Austin J Brockmeier
Journal of Neuroscience Methods|December 2, 2008
Single-trial P300 estimation with a spatiotemporal filtering methodRuijiang Li, Andreas Keil, Jose C Principe
Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference|February 3, 2007
Synchronization analysis of epileptic ECOG data using SOM-based SI measureAnant Hegde, Deniz Erdogmus, Jose C Principe
IEEE Transactions on Bio-Medical Engineering|December 13, 2006
Analysis of biomedical signals by the lempel-Ziv complexity: the effect of finite data sizeJing Hu, Jianbo Gao, Jose C Principe
IEEE Transactions on Neural Networks and Learning Systems|January 5, 2021
Modularizing Deep Learning via Pairwise Learning With KernelsShiyu Duan, Shujian Yu, Jose C Principe
Pageof 12

Showing results (11-20 of 114) with videos related to

Sort By:
Pageof 12
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
The Embedding Transform. A Novel Analysis of Non-Stationarity in the EEGCarlos A Loza, Jose C Principe
IEEE Transactions on Neural Networks and Learning Systems|January 7, 2020
An Exact Reformulation of Feature-Vector-Based Radial-Basis-Function Networks for Graph-Based ObservationsIsaac J Sledge, Jose C Principe
IEEE Transactions on Bio-Medical Engineering|November 17, 2015
Learning Recurrent Waveforms Within EEGsAustin J Brockmeier, Jose C Principe
IEEE Transactions on Neural Networks|October 6, 2004
Advanced search algorithms for information-theoretic learning with kernel-based estimatorsRodney A Morejon, Jose C Principe
IEEE Transactions on Neural Networks and Learning Systems|October 29, 2021
Faster Convergence in Deep-Predictive-Coding Networks to Learn Deeper RepresentationsIsaac J Sledge, Jose C Principe
Current Opinion in Neurobiology|August 13, 2014
Representing and decomposing neural potential signalsJose C Principe, Austin J Brockmeier
Journal of Neuroscience Methods|December 2, 2008
Single-trial P300 estimation with a spatiotemporal filtering methodRuijiang Li, Andreas Keil, Jose C Principe
Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference|February 3, 2007
Synchronization analysis of epileptic ECOG data using SOM-based SI measureAnant Hegde, Deniz Erdogmus, Jose C Principe
IEEE Transactions on Bio-Medical Engineering|December 13, 2006
Analysis of biomedical signals by the lempel-Ziv complexity: the effect of finite data sizeJing Hu, Jianbo Gao, Jose C Principe
IEEE Transactions on Neural Networks and Learning Systems|January 5, 2021
Modularizing Deep Learning via Pairwise Learning With KernelsShiyu Duan, Shujian Yu, Jose C Principe
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