Emilio Parrado-Hernández

According to our database, Emilio Parrado-Hernández authored at least 35 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

The Relevance Feature and Vector Machine for health applications.

Albert Belenguer-Llorens, Carlos Sevilla-Salcedo, Emilio Parrado-Hernández, Vanessa Gómez-Verdejo

CoRR, 2024

2022

Bayesian learning of feature spaces for multitasks problems.

Carlos Sevilla-Salcedo, Ascensión Gallardo-Antolín, Vanessa Gómez-Verdejo, Emilio Parrado-Hernández

CoRR, 2022

2021

Progress in Self-Certified Neural Networks.

María Pérez-Ortiz, Omar Rivasplata, Emilio Parrado-Hernández, Benjamin Guedj, John Shawe-Taylor

CoRR, 2021

2019

Sign-Consistency Based Variable Importance for Machine Learning in Brain Imaging.

Vanessa Gómez-Verdejo, Emilio Parrado-Hernández, Jussi Tohka

Neuroinformatics, 2019

2018

Partial Discharge Spectral Characterization in HF, VHF and UHF Bands Using Particle Swarm Optimization.

Guillermo Robles, José Manuel Fresno, Juan Manuel Martínez-Tarifa, Jorge Ardila-Rey, Emilio Parrado-Hernández

Sensors, 2018

PAC-Bayes bounds for stable algorithms with instance-dependent priors.

Omar Rivasplata, Csaba Szepesvári, John Shawe-Taylor, Emilio Parrado-Hernández, Shiliang Sun

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Detection of Partial Discharge Sources Using UHF Sensors and Blind Signal Separation.

Carlos Boya, Guillermo Robles, Emilio Parrado-Hernández, Marta Ruiz-Llata

Sensors, 2017

A novel framework for parsimonious multivariate analysis.

Sergio Muñoz-Romero, Vanessa Gómez-Verdejo, Emilio Parrado-Hernández

Pattern Recognit., 2017

2016

Multiple partial discharge source discrimination with multiclass support vector machines.

Guillermo Robles, Emilio Parrado-Hernández, Jorge Ardila-Rey, Juan Manuel Martínez-Tarifa

Expert Syst. Appl., 2016

2014

Discovering brain regions relevant to obsessive-compulsive disorder identification through bagging and transduction.

Emilio Parrado-Hernández, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, John Shawe-Taylor, Pino Alonso, Jesús Pujol, José Manuel Menchón, Narcís Cardoner, Carles Soriano-Mas

Medical Image Anal., 2014

Automatic Design of Neuromarkers for OCD Characterization.

Oscar García Hinde, Emilio Parrado-Hernández, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, Carles Soriano-Mas

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

2013

Interference-aware MIMO precoder design with realistic power constraints.

Felipe Llinares-López, Matilde Sánchez Fernández, Emilio Parrado-Hernández, Ana García Armada

Proceedings of the IEEE International Conference on Communications, 2013

2012

PAC-bayes bounds with data dependent priors.

Emilio Parrado-Hernández, Amiran Ambroladze, John Shawe-Taylor, Shiliang Sun

J. Mach. Learn. Res., 2012

Low-cost model selection for SVMs using local features.

Miguel Lázaro-Gredilla, Vanessa Gómez-Verdejo, Emilio Parrado-Hernández

Eng. Appl. Artif. Intell., 2012

Voxel Selection in MRI through Bagging and Conformal Analysis: Application to Detection of Obsessive Compulsive Disorder.

Emilio Parrado-Hernández, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, John Shawe-Taylor, Pino Alonso, Jesús Pujol, José Manuel Menchón, Narcís Cardoner, Carles Soriano-Mas

Proceedings of the Second International Workshop on Pattern Recognition in NeuroImaging, 2012

Classifier-based affinities for clustering sets of vectors.

Dario García-García, Raúl Santos-Rodríguez, Emilio Parrado-Hernández

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Music Genre Classification based on Dynamical Models.

Alberto García-Durán, Jerónimo Arenas-García, Dario García-García, Emilio Parrado-Hernández

Proceedings of the ICPRAM 2012, 2012

2011

State-space dynamics distance for clustering sequential data.

Dario García-García, Emilio Parrado-Hernández, Fernando Díaz-de-María

Pattern Recognit., 2011

Identification of OCD-Relevant Brain Areas through Multivariate Feature Selection.

Emilio Parrado-Hernández, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, Pino Alonso, Jesús Pujol, José Manuel Menchón, Narcís Cardoner, Carles Soriano-Mas

Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011

2010

Data Dependent Priors in PAC-Bayes Bounds.

John Shawe-Taylor, Emilio Parrado-Hernández, Amiran Ambroladze

Proceedings of the 19th International Conference on Computational Statistics, 2010

2009

A New Distance Measure for Model-Based Sequence Clustering.

Dario García-García, Emilio Parrado-Hernández, Fernando Díaz-de-María

IEEE Trans. Pattern Anal. Mach. Intell., 2009

Sequence Segmentation via Clustering of Subsequences.

Dario García-García, Emilio Parrado-Hernández, Fernando Díaz-de-María

Proceedings of the International Conference on Machine Learning and Applications, 2009

2007

Complexity of pattern classes and the Lipschitz property.

Amiran Ambroladze, Emilio Parrado-Hernández, John Shawe-Taylor

Theor. Comput. Sci., 2007

2006

Distributed support vector machines.

Ángel Navia-Vázquez, D. Gutiérrez-González, Emilio Parrado-Hernández, J. J. Navarro-Abellan

IEEE Trans. Neural Networks, 2006

The Interplay of Optimization and Machine Learning Research.

Kristin P. Bennett, Emilio Parrado-Hernández

J. Mach. Learn. Res., 2006

Support vector machine interpretation.

Ángel Navia-Vázquez, Emilio Parrado-Hernández

Neurocomputing, 2006

Tighter PAC-Bayes Bounds.

Amiran Ambroladze, Emilio Parrado-Hernández, John Shawe-Taylor

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

2005

Multi-kernel Growing Support Vector Regressor.

D. Gutiérrez-González, Emilio Parrado-Hernández, Ángel Navia-Vázquez

Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

2003

Growing support vector classifiers with controlled complexity.

Emilio Parrado-Hernández, I. Mora-Jiménez, Jerónimo Arenas-García, Aníbal R. Figueiras-Vidal, Ángel Navia-Vázquez

Pattern Recognit., 2003

Study of distributed learning as a solution to category proliferation in Fuzzy ARTMAP based neural systems.

Emilio Parrado-Hernández, Eduardo Gómez-Sánchez, Yannis A. Dimitriadis

Neural Networks, 2003

On problem-oriented kernel refining.

Emilio Parrado-Hernández, Jerónimo Arenas-García, I. Mora-Jiménez, Ángel Navia-Vázquez

Neurocomputing, 2003

2002

CDMA satellite capacity dynamics and efficiency with imperfect power control for simultaneous QoS classes and diversity.

Maria Angeles Vázquez-Castro, Emilio Parrado-Hernández, D. Belay-Zeleke, Fernando Pérez-Fontán

Proceedings of the 55th IEEE Vehicular Technology Conference, 2002

An Application of SVM to Lost Packets Reconstruction in Voice-Enabled Services.

Carmen Peláez-Moreno, Emilio Parrado-Hernández, Ascensión Gallardo-Antolín, Adrián Zambrano-Miranda, Fernando Díaz-de-María

Proceedings of the Artificial Neural Networks, 2002

CDMA satellite capacity dynamics with imperfect power control for simultaneous QoS classes.

Emilio Parrado-Hernández, Maria Angeles Vázquez-Castro, D. Belay-Zeleke

Proceedings of the Global Telecommunications Conference, 2002

SVM-based lost packets concealment for ASR applications over IP.

Carmen Peláez-Moreno, Ascensión Gallardo-Antolín, Emilio Parrado-Hernández, Fernando Díaz-de-María

Proceedings of the 11th European Signal Processing Conference, 2002