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Luca Oneto

Showing results (11-20 of 24) with videos related to

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Neural Networks : the Official Journal of the International Neural Network Society|July 31, 2016
A local Vapnik-Chervonenkis complexityLuca Oneto, Davide Anguita, Sandro Ridella
Neural Networks : the Official Journal of the International Neural Network Society|April 17, 2013
An improved analysis of the Rademacher data-dependent bound using its self bounding propertyLuca Oneto, Alessandro Ghio, Davide Anguita, et al.
IEEE Transactions on Neural Networks and Learning Systems|November 25, 2014
A deep connection between the Vapnik-Chervonenkis entropy and the Rademacher complexityDavide Anguita, Alessandro Ghio, Luca Oneto, et al.
IEEE Transactions on Neural Networks and Learning Systems|May 9, 2014
In-sample and out-of-sample model selection and error estimation for support vector machinesDavide Anguita, Alessandro Ghio, Luca Oneto, et al.
Neural Networks : the Official Journal of the International Neural Network Society|March 4, 2015
Local Rademacher Complexity: sharper risk bounds with and without unlabeled samplesLuca Oneto, Alessandro Ghio, Sandro Ridella, et al.
Peerj. Computer Science|September 24, 2025
The DBCV index is more informative than DCSI, CDbw, and VIASCKDE indices for unsupervised clustering internal assessment of concave-shaped and density-based clustersDavide Chicco, Giuseppe Sabino, Luca Oneto, et al.
Entropy (Basel, Switzerland)|August 27, 2021
Toward Learning Trustworthily from Data Combining Privacy, Fairness, and Explainability: An Application to Face RecognitionDanilo Franco, Luca Oneto, Nicolò Navarin, et al.
IEEE Transactions on Cybernetics|October 28, 2014
Fully Empirical and Data-Dependent Stability-Based BoundsLuca Oneto, Alessandro Ghio, Sandro Ridella, et al.
Scientific Reports|December 15, 2025
Multi stage generative upscaler recovers low resolution football broadcast images through diffusion models with ControlNet conditioning and LoRA fine tuningLuca Martini, Daniele Zolezzi, Saverio Iacono, et al.
IEEE Transactions on Neural Networks and Learning Systems|July 11, 2018
Learning With Kernels: A Local Rademacher Complexity-Based Analysis With Application to Graph KernelsLuca Oneto, Nicolo Navarin, Michele Donini, et al.
Pageof 3

Showing results (11-20 of 24) with videos related to

Sort By:
Pageof 3
Neural Networks : the Official Journal of the International Neural Network Society|July 31, 2016
A local Vapnik-Chervonenkis complexityLuca Oneto, Davide Anguita, Sandro Ridella
Neural Networks : the Official Journal of the International Neural Network Society|April 17, 2013
An improved analysis of the Rademacher data-dependent bound using its self bounding propertyLuca Oneto, Alessandro Ghio, Davide Anguita, et al.
IEEE Transactions on Neural Networks and Learning Systems|November 25, 2014
A deep connection between the Vapnik-Chervonenkis entropy and the Rademacher complexityDavide Anguita, Alessandro Ghio, Luca Oneto, et al.
IEEE Transactions on Neural Networks and Learning Systems|May 9, 2014
In-sample and out-of-sample model selection and error estimation for support vector machinesDavide Anguita, Alessandro Ghio, Luca Oneto, et al.
Neural Networks : the Official Journal of the International Neural Network Society|March 4, 2015
Local Rademacher Complexity: sharper risk bounds with and without unlabeled samplesLuca Oneto, Alessandro Ghio, Sandro Ridella, et al.
Peerj. Computer Science|September 24, 2025
The DBCV index is more informative than DCSI, CDbw, and VIASCKDE indices for unsupervised clustering internal assessment of concave-shaped and density-based clustersDavide Chicco, Giuseppe Sabino, Luca Oneto, et al.
Entropy (Basel, Switzerland)|August 27, 2021
Toward Learning Trustworthily from Data Combining Privacy, Fairness, and Explainability: An Application to Face RecognitionDanilo Franco, Luca Oneto, Nicolò Navarin, et al.
IEEE Transactions on Cybernetics|October 28, 2014
Fully Empirical and Data-Dependent Stability-Based BoundsLuca Oneto, Alessandro Ghio, Sandro Ridella, et al.
Scientific Reports|December 15, 2025
Multi stage generative upscaler recovers low resolution football broadcast images through diffusion models with ControlNet conditioning and LoRA fine tuningLuca Martini, Daniele Zolezzi, Saverio Iacono, et al.
IEEE Transactions on Neural Networks and Learning Systems|July 11, 2018
Learning With Kernels: A Local Rademacher Complexity-Based Analysis With Application to Graph KernelsLuca Oneto, Nicolo Navarin, Michele Donini, et al.
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