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Peter Tino

Showing results (21-30 of 53) with videos related to

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IEEE Transactions on Neural Networks and Learning Systems|March 2, 2021
Input-to-State Representation in Linear Reservoirs DynamicsPietro Verzelli, Cesare Alippi, Lorenzo Livi, et al.
IEEE Transactions on Neural Networks and Learning Systems|May 9, 2014
Incorporating privileged information through metric learningShereen Fouad, Peter Tino, Somak Raychaudhury, et al.
Bioinformatics (Oxford, England)|June 28, 2025
Whole-genome phenotype prediction with machine learning: open problems in bacterial genomicsTamsin James, Ben Williamson, Peter Tino, et al.
IEEE Transactions on Neural Networks and Learning Systems|May 9, 2014
Learning in the model space for cognitive fault diagnosisHuanhuan Chen, Peter Tino, Ali Rodan, et al.
IEEE Transactions on Cybernetics|June 10, 2026
Structure Is Information: Structural Identifiability Mappings for Machine Learning With Partially Observed Dynamical SystemsJanis Norden, Elisa Oostwal, Michael Chappell, et al.
Frontiers in Neuroscience|August 21, 2023
Flexible structure learning under uncertaintyRui Wang, Vael Gates, Yuan Shen, et al.
Neural Networks : the Official Journal of the International Neural Network Society|May 13, 2021
Probabilistic learning vector quantization on manifold of symmetric positive definite matricesFengzhen Tang, Haifeng Feng, Peter Tino, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|August 2, 2017
Learning Predictive Statistics: Strategies and Brain MechanismsRui Wang, Yuan Shen, Peter Tino, et al.
Journal of Vision|October 4, 2017
Learning predictive statistics from temporal sequences: Dynamics and strategiesRui Wang, Yuan Shen, Peter Tino, et al.
IEEE Transactions on Neural Networks and Learning Systems|August 29, 2015
Oversampling the Minority Class in the Feature SpaceMaria Perez-Ortiz, Pedro Antonio Gutierrez, Peter Tino, et al.
Pageof 6

Showing results (21-30 of 53) with videos related to

Sort By:
Pageof 6
IEEE Transactions on Neural Networks and Learning Systems|March 2, 2021
Input-to-State Representation in Linear Reservoirs DynamicsPietro Verzelli, Cesare Alippi, Lorenzo Livi, et al.
IEEE Transactions on Neural Networks and Learning Systems|May 9, 2014
Incorporating privileged information through metric learningShereen Fouad, Peter Tino, Somak Raychaudhury, et al.
Bioinformatics (Oxford, England)|June 28, 2025
Whole-genome phenotype prediction with machine learning: open problems in bacterial genomicsTamsin James, Ben Williamson, Peter Tino, et al.
IEEE Transactions on Neural Networks and Learning Systems|May 9, 2014
Learning in the model space for cognitive fault diagnosisHuanhuan Chen, Peter Tino, Ali Rodan, et al.
IEEE Transactions on Cybernetics|June 10, 2026
Structure Is Information: Structural Identifiability Mappings for Machine Learning With Partially Observed Dynamical SystemsJanis Norden, Elisa Oostwal, Michael Chappell, et al.
Frontiers in Neuroscience|August 21, 2023
Flexible structure learning under uncertaintyRui Wang, Vael Gates, Yuan Shen, et al.
Neural Networks : the Official Journal of the International Neural Network Society|May 13, 2021
Probabilistic learning vector quantization on manifold of symmetric positive definite matricesFengzhen Tang, Haifeng Feng, Peter Tino, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|August 2, 2017
Learning Predictive Statistics: Strategies and Brain MechanismsRui Wang, Yuan Shen, Peter Tino, et al.
Journal of Vision|October 4, 2017
Learning predictive statistics from temporal sequences: Dynamics and strategiesRui Wang, Yuan Shen, Peter Tino, et al.
IEEE Transactions on Neural Networks and Learning Systems|August 29, 2015
Oversampling the Minority Class in the Feature SpaceMaria Perez-Ortiz, Pedro Antonio Gutierrez, Peter Tino, et al.
Pageof 6