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Thomas Martinetz

Showing results (1-10 of 42) with videos related to

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IEEE Transactions on Neural Networks and Learning Systems|March 3, 2025
Do Highly Over-Parameterized Neural Networks Generalize Since Bad Solutions Are Rare?Julius Martinetz, Thomas Martinetz
EURASIP Journal on Bioinformatics & Systems Biology|April 1, 2009
Adaptive dynamics of regulatory networks: size mattersDirk Repsilber, Thomas Martinetz, Mats Björklund
Neural Computation|March 23, 2013
The support feature machine: classification with the least number of features and application to neuroimaging dataSascha Klement, Silke Anders, Thomas Martinetz
Journal of Vision|January 13, 2022
FP-nets as novel deep networks inspired by visionPhilipp Grüning, Thomas Martinetz, Erhardt Barth
IEEE Transactions on Neural Networks|June 6, 2009
SoftDoubleMaxMinOver: perceptron-like training of support vector machinesThomas Martinetz, Kai Labusch, Daniel Schneegass
IEEE Transactions on Neural Networks|November 13, 2008
Simple method for high-performance digit recognition based on sparse codingKai Labusch, Erhardt Barth, Thomas Martinetz
Neural Computing & Applications|August 23, 2022
A walk in the black-box: 3D visualization of large neural networks in virtual realityChristoph Linse, Hammam Alshazly, Thomas Martinetz
Journal of Theoretical Biology|March 8, 2003
Bioinformatic principles underlying the information content of transcription factor binding sitesJan T Kim, Thomas Martinetz, Daniel Polani
Cognitive Neurodynamics|July 5, 2014
The phase response of the cortical slow oscillationArne Weigenand, Thomas Martinetz, Jens Christian Claussen
Sensors (Basel, Switzerland)|January 14, 2021
Explainable COVID-19 Detection Using Chest CT Scans and Deep LearningHammam Alshazly, Christoph Linse, Erhardt Barth, et al.
Pageof 5

Showing results (1-10 of 42) with videos related to

Sort By:
Pageof 5
IEEE Transactions on Neural Networks and Learning Systems|March 3, 2025
Do Highly Over-Parameterized Neural Networks Generalize Since Bad Solutions Are Rare?Julius Martinetz, Thomas Martinetz
EURASIP Journal on Bioinformatics & Systems Biology|April 1, 2009
Adaptive dynamics of regulatory networks: size mattersDirk Repsilber, Thomas Martinetz, Mats Björklund
Neural Computation|March 23, 2013
The support feature machine: classification with the least number of features and application to neuroimaging dataSascha Klement, Silke Anders, Thomas Martinetz
Journal of Vision|January 13, 2022
FP-nets as novel deep networks inspired by visionPhilipp Grüning, Thomas Martinetz, Erhardt Barth
IEEE Transactions on Neural Networks|June 6, 2009
SoftDoubleMaxMinOver: perceptron-like training of support vector machinesThomas Martinetz, Kai Labusch, Daniel Schneegass
IEEE Transactions on Neural Networks|November 13, 2008
Simple method for high-performance digit recognition based on sparse codingKai Labusch, Erhardt Barth, Thomas Martinetz
Neural Computing & Applications|August 23, 2022
A walk in the black-box: 3D visualization of large neural networks in virtual realityChristoph Linse, Hammam Alshazly, Thomas Martinetz
Journal of Theoretical Biology|March 8, 2003
Bioinformatic principles underlying the information content of transcription factor binding sitesJan T Kim, Thomas Martinetz, Daniel Polani
Cognitive Neurodynamics|July 5, 2014
The phase response of the cortical slow oscillationArne Weigenand, Thomas Martinetz, Jens Christian Claussen
Sensors (Basel, Switzerland)|January 14, 2021
Explainable COVID-19 Detection Using Chest CT Scans and Deep LearningHammam Alshazly, Christoph Linse, Erhardt Barth, et al.
Pageof 5