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Steven Van Vaerenbergh

Showing results (1-10 of 7) with videos related to

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IEEE Transactions on Neural Networks|May 26, 2006
A spectral clustering approach to underdetermined postnonlinear blind source separation of sparse sourcesSteven Van Vaerenbergh, Ignacio Santamaría
IEEE Transactions on Neural Networks and Learning Systems|October 21, 2014
A Gaussian process model for data association and a semidefinite programming solutionMiguel Lázaro-Gredilla, Steven Van Vaerenbergh
IEEE Transactions on Neural Networks and Learning Systems|May 9, 2014
Kernel recursive least-squares tracker for time-varying regressionSteven Van Vaerenbergh, Miguel Lázaro-Gredilla, Ignacio Santamaria
Neural Networks : the Official Journal of the International Neural Network Society|November 28, 2018
Kafnets: Kernel-based non-parametric activation functions for neural networksSimone Scardapane, Steven Van Vaerenbergh, Simone Totaro, et al.
Behavioral Sciences (Basel, Switzerland)|July 27, 2024
Analysis of Teacher Self-Efficacy and Its Impact on Sustainable Well-Being at WorkMercedes Arias-Pastor, Steven Van Vaerenbergh, Jerónimo J González-Bernal, et al.
European Journal of Investigation in Health, Psychology and Education|October 28, 2025
The Educational Inclusion of Students with Autism Spectrum Disorder: Teachers' Feelings, Attitudes, and Concerns About Inclusion in SpainAlejandra Bolado Peña, Félix Menéndez-Vega, Steven Van Vaerenbergh, et al.
Arxiv|September 16, 2024
Real-Time Machine Learning Strategies for a New Kind of Neuroscience ExperimentsAyesha Vermani, Matthew Dowling, Hyungju Jeon, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Neural Networks|May 26, 2006
A spectral clustering approach to underdetermined postnonlinear blind source separation of sparse sourcesSteven Van Vaerenbergh, Ignacio Santamaría
IEEE Transactions on Neural Networks and Learning Systems|October 21, 2014
A Gaussian process model for data association and a semidefinite programming solutionMiguel Lázaro-Gredilla, Steven Van Vaerenbergh
IEEE Transactions on Neural Networks and Learning Systems|May 9, 2014
Kernel recursive least-squares tracker for time-varying regressionSteven Van Vaerenbergh, Miguel Lázaro-Gredilla, Ignacio Santamaria
Neural Networks : the Official Journal of the International Neural Network Society|November 28, 2018
Kafnets: Kernel-based non-parametric activation functions for neural networksSimone Scardapane, Steven Van Vaerenbergh, Simone Totaro, et al.
Behavioral Sciences (Basel, Switzerland)|July 27, 2024
Analysis of Teacher Self-Efficacy and Its Impact on Sustainable Well-Being at WorkMercedes Arias-Pastor, Steven Van Vaerenbergh, Jerónimo J González-Bernal, et al.
European Journal of Investigation in Health, Psychology and Education|October 28, 2025
The Educational Inclusion of Students with Autism Spectrum Disorder: Teachers' Feelings, Attitudes, and Concerns About Inclusion in SpainAlejandra Bolado Peña, Félix Menéndez-Vega, Steven Van Vaerenbergh, et al.
Arxiv|September 16, 2024
Real-Time Machine Learning Strategies for a New Kind of Neuroscience ExperimentsAyesha Vermani, Matthew Dowling, Hyungju Jeon, et al.
Pageof 1