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Ruben Vera-Rodriguez

Showing results (1-10 of 14) with videos related to

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IEEE Transactions on Pattern Analysis and Machine Intelligence|August 11, 2020
SensitiveNets: Learning Agnostic Representations with Application to Face ImagesAythami Morales, Julian Fierrez, Ruben Vera-Rodriguez, et al.
Forensic Science International|December 10, 2013
Identification using face regions: application and assessment in forensic scenariosPedro Tome, Julian Fierrez, Ruben Vera-Rodriguez, et al.
Forensic Science International|October 11, 2015
Facial soft biometric features for forensic face recognitionPedro Tome, Ruben Vera-Rodriguez, Julian Fierrez, et al.
Journal of Forensic Sciences|July 21, 2015
Combination of Face Regions in Forensic ScenariosPedro Tome, Julian Fierrez, Ruben Vera-Rodriguez, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|July 12, 2018
Analysis of Spatio-Temporal Representations for Robust Footstep Recognition with Deep Residual Neural NetworksOmar Costilla-Reyes, Ruben Vera-Rodriguez, Patricia Scully, et al.
Plos One|May 6, 2017
Benchmarking desktop and mobile handwriting across COTS devices: The e-BioSign biometric databaseRuben Tolosana, Ruben Vera-Rodriguez, Julian Fierrez, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|August 8, 2012
Comparative analysis and fusion of spatiotemporal information for footstep recognitionRuben Vera-Rodriguez, John S D Mason, Julian Fierrez, et al.
JMIR Biomedical Engineering|June 14, 2024
Detection of Mental Fatigue in the General Population: Feasibility Study of Keystroke Dynamics as a Real-world BiomarkerAlejandro Acien, Aythami Morales, Ruben Vera-Rodriguez, et al.
Computers in Biology and Medicine|November 30, 2024
KeyGAN: Synthetic keystroke data generation in the context of digital phenotypingAlejandro Acien, Aythami Morales, Luca Giancardo, et al.
Scientific Reports|December 10, 2021
Publisher Correction: Analyzing artificial intelligence systems for the prediction of atrial fibrillation from sinus-rhythm ECGs including demographics and feature visualizationPietro Melzi, Ruben Tolosana, Alberto Cecconi, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
IEEE Transactions on Pattern Analysis and Machine Intelligence|August 11, 2020
SensitiveNets: Learning Agnostic Representations with Application to Face ImagesAythami Morales, Julian Fierrez, Ruben Vera-Rodriguez, et al.
Forensic Science International|December 10, 2013
Identification using face regions: application and assessment in forensic scenariosPedro Tome, Julian Fierrez, Ruben Vera-Rodriguez, et al.
Forensic Science International|October 11, 2015
Facial soft biometric features for forensic face recognitionPedro Tome, Ruben Vera-Rodriguez, Julian Fierrez, et al.
Journal of Forensic Sciences|July 21, 2015
Combination of Face Regions in Forensic ScenariosPedro Tome, Julian Fierrez, Ruben Vera-Rodriguez, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|July 12, 2018
Analysis of Spatio-Temporal Representations for Robust Footstep Recognition with Deep Residual Neural NetworksOmar Costilla-Reyes, Ruben Vera-Rodriguez, Patricia Scully, et al.
Plos One|May 6, 2017
Benchmarking desktop and mobile handwriting across COTS devices: The e-BioSign biometric databaseRuben Tolosana, Ruben Vera-Rodriguez, Julian Fierrez, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|August 8, 2012
Comparative analysis and fusion of spatiotemporal information for footstep recognitionRuben Vera-Rodriguez, John S D Mason, Julian Fierrez, et al.
JMIR Biomedical Engineering|June 14, 2024
Detection of Mental Fatigue in the General Population: Feasibility Study of Keystroke Dynamics as a Real-world BiomarkerAlejandro Acien, Aythami Morales, Ruben Vera-Rodriguez, et al.
Computers in Biology and Medicine|November 30, 2024
KeyGAN: Synthetic keystroke data generation in the context of digital phenotypingAlejandro Acien, Aythami Morales, Luca Giancardo, et al.
Scientific Reports|December 10, 2021
Publisher Correction: Analyzing artificial intelligence systems for the prediction of atrial fibrillation from sinus-rhythm ECGs including demographics and feature visualizationPietro Melzi, Ruben Tolosana, Alberto Cecconi, et al.
Pageof 2