Emilio Parrado-Hernández

41 papers A* 1B 1C 2Misc 1Journal 26Unranked 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
Addressing wide-data studies of gene expression microarrays with the Relevance Feature and Vector Machine.
Comput. Biol. Medicine
Albert Belenguer-Llorens, Carlos Sevilla-Salcedo, Emilio Parrado-Hernández, Vanessa Gómez-Verdejo
2025 J jnl
Some theoretical improvements on the tightness of PAC-Bayes risk certificates for neural networks.
CoRR
Diego García-Pérez, Emilio Parrado-Hernández, John Shawe-Taylor
2024 J jnl
Adaptive Sparse Gaussian Process.
IEEE Trans. Neural Networks Learn. Syst.
Vanessa Gómez-Verdejo, Emilio Parrado-Hernández, Manel Martínez-Ramón
2024 J jnl
Bayesian learning of feature spaces for multitask regression.
Neural Networks
Carlos Sevilla-Salcedo, Ascensión Gallardo-Antolín, Vanessa Gómez-Verdejo, Emilio Parrado-Hernández
2024 J jnl
The Relevance Feature and Vector Machine for health applications.
CoRR
Albert Belenguer-Llorens, Carlos Sevilla-Salcedo, Emilio Parrado-Hernández, Vanessa Gómez-Verdejo
2022 J jnl
Bayesian learning of feature spaces for multitasks problems.
CoRR
Carlos Sevilla-Salcedo, Ascensión Gallardo-Antolín, Vanessa Gómez-Verdejo, Emilio Parrado-Hernández
2021 J jnl
Progress in Self-Certified Neural Networks.
CoRR
María Pérez-Ortiz, Omar Rivasplata, Emilio Parrado-Hernández, Benjamin Guedj, John Shawe-Taylor
2019 J jnl
Sign-Consistency Based Variable Importance for Machine Learning in Brain Imaging.
Neuroinformatics
Vanessa Gómez-Verdejo, Emilio Parrado-Hernández, Jussi Tohka
2018 A* conf
PAC-Bayes bounds for stable algorithms with instance-dependent priors.
NeurIPS
Omar Rivasplata, Csaba Szepesvári, John Shawe-Taylor, Emilio Parrado-Hernández, Shiliang Sun
2018 J jnl
PAC-Bayes bounds for stable algorithms with instance-dependent priors.
CoRR
Omar Rivasplata, Emilio Parrado-Hernández, John Shawe-Taylor, Shiliang Sun, Csaba Szepesvári
2018 J jnl
Partial Discharge Spectral Characterization in HF, VHF and UHF Bands Using Particle Swarm Optimization.
Sensors
Guillermo Robles, José Manuel Fresno, Juan Manuel Martínez-Tarifa, Jorge Ardila-Rey, Emilio Parrado-Hernández
2017 J jnl
A novel framework for parsimonious multivariate analysis.
Pattern Recognit.
Sergio Muñoz-Romero, Vanessa Gómez-Verdejo, Emilio Parrado-Hernández
2017 J jnl
Detection of Partial Discharge Sources Using UHF Sensors and Blind Signal Separation.
Sensors
Carlos Boya, Guillermo Robles, Emilio Parrado-Hernández, Marta Ruiz-Llata
2016 J jnl
Multiple partial discharge source discrimination with multiclass support vector machines.
Expert Syst. Appl.
Guillermo Robles, Emilio Parrado-Hernández, Jorge Ardila-Rey, Juan Manuel Martínez-Tarifa
2014 — conf
Automatic Design of Neuromarkers for OCD Characterization.
ECML/PKDD (1)
Oscar García Hinde, Emilio Parrado-Hernández, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, Carles Soriano-Mas
2014 J jnl
Discovering brain regions relevant to obsessive-compulsive disorder identification through bagging and transduction.
Medical Image Anal.
Emilio Parrado-Hernández, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, John Shawe-Taylor, Pino Alonso, Jesús Pujol, José Manuel Menchón, Narcís Cardoner, Carles Soriano-Mas
2013 — conf
Interference-aware MIMO precoder design with realistic power constraints.
ICC Workshops
Felipe Llinares-López, Matilde Sánchez Fernández, Emilio Parrado-Hernández, Ana García Armada
2012 — conf
Classifier-based affinities for clustering sets of vectors.
MLSP
Dario García-García, Raúl Santos-Rodríguez, Emilio Parrado-Hernández
2012 J jnl
Low-cost model selection for SVMs using local features.
Eng. Appl. Artif. Intell.
Miguel Lázaro-Gredilla, Vanessa Gómez-Verdejo, Emilio Parrado-Hernández
2012 — conf
Music Genre Classification based on Dynamical Models.
ICPRAM (2)
Alberto García-Durán, Jerónimo Arenas-García, Dario García-García, Emilio Parrado-Hernández
2012 J jnl
PAC-bayes bounds with data dependent priors.
J. Mach. Learn. Res.
Emilio Parrado-Hernández, Amiran Ambroladze, John Shawe-Taylor, Shiliang Sun
2012 — conf
Voxel Selection in MRI through Bagging and Conformal Analysis: Application to Detection of Obsessive Compulsive Disorder.
PRNI
Emilio Parrado-Hernández, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, John Shawe-Taylor, Pino Alonso, Jesús Pujol, José Manuel Menchón, Narcís Cardoner, Carles Soriano-Mas
2011 — conf
Identification of OCD-Relevant Brain Areas through Multivariate Feature Selection.
MLINI
Emilio Parrado-Hernández, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, Pino Alonso, Jesús Pujol, José Manuel Menchón, Narcís Cardoner, Carles Soriano-Mas
2011 J jnl
State-space dynamics distance for clustering sequential data.
Pattern Recognit.
Dario García-García, Emilio Parrado-Hernández, Fernando Díaz-de-María
2010 — conf
Data Dependent Priors in PAC-Bayes Bounds.
COMPSTAT
John Shawe-Taylor, Emilio Parrado-Hernández, Amiran Ambroladze
2010 J jnl
State-Space Dynamics Distance for Clustering Sequential Data
CoRR
Dario García-García, Emilio Parrado-Hernández, Fernando Díaz-de-María
2009 J jnl
A New Distance Measure for Model-Based Sequence Clustering.
IEEE Trans. Pattern Anal. Mach. Intell.
Dario García-García, Emilio Parrado-Hernández, Fernando Díaz-de-María
2009 C conf
Sequence Segmentation via Clustering of Subsequences.
ICMLA
Dario García-García, Emilio Parrado-Hernández, Fernando Díaz-de-María
2007 J jnl
Complexity of pattern classes and the Lipschitz property.
Theor. Comput. Sci.
Amiran Ambroladze, Emilio Parrado-Hernández, John Shawe-Taylor
2006 J jnl
Distributed support vector machines.
IEEE Trans. Neural Networks
Ángel Navia-Vázquez, D. Gutiérrez-González, Emilio Parrado-Hernández, J. J. Navarro-Abellan
2006 J jnl
Support vector machine interpretation.
Neurocomputing
Ángel Navia-Vázquez, Emilio Parrado-Hernández
2006 J jnl
The Interplay of Optimization and Machine Learning Research.
J. Mach. Learn. Res.
Kristin P. Bennett, Emilio Parrado-Hernández
2006 — conf
Tighter PAC-Bayes Bounds.
NIPS
Amiran Ambroladze, Emilio Parrado-Hernández, John Shawe-Taylor
2005 Misc conf
Multi-kernel Growing Support Vector Regressor.
IWANN
D. Gutiérrez-González, Emilio Parrado-Hernández, Ángel Navia-Vázquez
2003 J jnl
Growing support vector classifiers with controlled complexity.
Pattern Recognit.
Emilio Parrado-Hernández, I. Mora-Jiménez, Jerónimo Arenas-García, Aníbal R. Figueiras-Vidal, Ángel Navia-Vázquez
2003 J jnl
On problem-oriented kernel refining.
Neurocomputing
Emilio Parrado-Hernández, Jerónimo Arenas-García, I. Mora-Jiménez, Ángel Navia-Vázquez
2003 J jnl
Study of distributed learning as a solution to category proliferation in Fuzzy ARTMAP based neural systems.
Neural Networks
Emilio Parrado-Hernández, Eduardo Gómez-Sánchez, Yannis A. Dimitriadis
2002 C conf
An Application of SVM to Lost Packets Reconstruction in Voice-Enabled Services.
ICANN
Carmen Peláez-Moreno, Emilio Parrado-Hernández, Ascensión Gallardo-Antolín, Adrián Zambrano-Miranda, Fernando Díaz-de-María
2002 — conf
CDMA satellite capacity dynamics and efficiency with imperfect power control for simultaneous QoS classes and diversity.
VTC Spring
Maria Angeles Vázquez-Castro, Emilio Parrado-Hernández, D. Belay-Zeleke, Fernando Pérez-Fontán
2002 B conf
CDMA satellite capacity dynamics with imperfect power control for simultaneous QoS classes.
GLOBECOM
Emilio Parrado-Hernández, Maria Angeles Vázquez-Castro, D. Belay-Zeleke
2002 — conf
SVM-based lost packets concealment for ASR applications over IP.
EUSIPCO
Carmen Peláez-Moreno, Ascensión Gallardo-Antolín, Emilio Parrado-Hernández, Fernando Díaz-de-María