Emilio Parrado-Hernández

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 10

Top Topics

Multiclass Support Vector Machines

Generalization Bounds

Bayesian Learning

Top Venues

Pattern Recognit.

Medical Image Anal.

Publications

Albert Belenguer-Llorens, Carlos Sevilla-Salcedo, Emilio Parrado-Hernández, Vanessa Gómez-Verdejo
The Relevance Feature and Vector Machine for health applications. CoRR (2024)
Carlos Sevilla-Salcedo, Ascensión Gallardo-Antolín, Vanessa Gómez-Verdejo, Emilio Parrado-Hernández
Bayesian learning of feature spaces for multitasks problems. CoRR (2022)
María Pérez-Ortiz, Omar Rivasplata, Emilio Parrado-Hernández, Benjamin Guedj, John Shawe-Taylor
Progress in Self-Certified Neural Networks. CoRR (2021)
Vanessa Gómez-Verdejo, Emilio Parrado-Hernández, Jussi Tohka
Sign-Consistency Based Variable Importance for Machine Learning in Brain Imaging. Neuroinformatics 17 (4) (2019)
Guillermo Robles, José Manuel Fresno, Juan Manuel Martínez-Tarifa, Jorge Ardila-Rey, Emilio Parrado-Hernández
Partial Discharge Spectral Characterization in HF, VHF and UHF Bands Using Particle Swarm Optimization. Sensors 18 (3) (2018)
Omar Rivasplata, Emilio Parrado-Hernández, John Shawe-Taylor, Shiliang Sun, Csaba Szepesvári
PAC-Bayes bounds for stable algorithms with instance-dependent priors. CoRR (2018)
Omar Rivasplata, Csaba Szepesvári, John Shawe-Taylor, Emilio Parrado-Hernández, Shiliang Sun
PAC-Bayes bounds for stable algorithms with instance-dependent priors. NeurIPS (2018)
Sergio Muñoz-Romero, Vanessa Gómez-Verdejo, Emilio Parrado-Hernández
A novel framework for parsimonious multivariate analysis. Pattern Recognit. 71 (2017)
Carlos Boya, Guillermo Robles, Emilio Parrado-Hernández, Marta Ruiz-Llata
Detection of Partial Discharge Sources Using UHF Sensors and Blind Signal Separation. Sensors 17 (11) (2017)
Guillermo Robles, Emilio Parrado-Hernández, Jorge Ardila-Rey, Juan Manuel Martínez-Tarifa
Multiple partial discharge source discrimination with multiclass support vector machines. Expert Syst. Appl. 55 (2016)
Emilio Parrado-Hernández, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, John Shawe-Taylor, Pino Alonso, Jesús Pujol, José M. Menchón, Narcís Cardoner, Carles Soriano-Mas
Discovering brain regions relevant to obsessive-compulsive disorder identification through bagging and transduction. Medical Image Anal. 18 (3) (2014)
Oscar García Hinde, Emilio Parrado-Hernández, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, Carles Soriano-Mas
Automatic Design of Neuromarkers for OCD Characterization. ECML/PKDD (1) (2014)
Felipe Llinares-López, Matilde Sánchez Fernández, Emilio Parrado-Hernández, Ana García Armada
Interference-aware MIMO precoder design with realistic power constraints. ICC Workshops (2013)
Miguel Lázaro-Gredilla, Vanessa Gómez-Verdejo, Emilio Parrado-Hernández
Low-cost model selection for SVMs using local features. Eng. Appl. Artif. Intell. 25 (6) (2012)
Emilio Parrado-Hernández, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, John Shawe-Taylor, Pino Alonso, Jesús Pujol, José M. Menchón, Narcís Cardoner, Carles Soriano-Mas
Voxel Selection in MRI through Bagging and Conformal Analysis: Application to Detection of Obsessive Compulsive Disorder. PRNI (2012)
Emilio Parrado-Hernández, Amiran Ambroladze, John Shawe-Taylor, Shiliang Sun
PAC-bayes bounds with data dependent priors. J. Mach. Learn. Res. 13 (2012)
Alberto García-Durán, Jerónimo Arenas-García, Dario García-García, Emilio Parrado-Hernández
Music Genre Classification based on Dynamical Models. ICPRAM (2) (2012)
Dario García-García, Raúl Santos-Rodríguez, Emilio Parrado-Hernández
Classifier-based affinities for clustering sets of vectors. MLSP (2012)
Emilio Parrado-Hernández, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, Pino Alonso, Jesús Pujol, José M. Menchón, Narcís Cardoner, Carles Soriano-Mas
Identification of OCD-Relevant Brain Areas through Multivariate Feature Selection. MLINI (2011)
Dario García-García, Emilio Parrado-Hernández, Fernando Díaz-de-María
State-space dynamics distance for clustering sequential data. Pattern Recognit. 44 (5) (2011)
Dario García-García, Emilio Parrado-Hernández, Fernando Díaz-de-María
State-Space Dynamics Distance for Clustering Sequential Data CoRR (2010)
John Shawe-Taylor, Emilio Parrado-Hernández, Amiran Ambroladze
Data Dependent Priors in PAC-Bayes Bounds. COMPSTAT (2010)
Dario García-García, Emilio Parrado-Hernández, Fernando Díaz-de-María
Sequence Segmentation via Clustering of Subsequences. ICMLA (2009)
Dario García-García, Emilio Parrado-Hernández, Fernando Díaz-de-María
A New Distance Measure for Model-Based Sequence Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 31 (7) (2009)
Amiran Ambroladze, Emilio Parrado-Hernández, John Shawe-Taylor
Complexity of pattern classes and the Lipschitz property. Theor. Comput. Sci. 382 (3) (2007)
Ángel Navia-Vázquez, Emilio Parrado-Hernández
Support vector machine interpretation. Neurocomputing 69 (13-15) (2006)
Ángel Navia-Vázquez, D. Gutiérrez-González, Emilio Parrado-Hernández, J. J. Navarro-Abellan
Distributed support vector machines. IEEE Trans. Neural Networks 17 (4) (2006)
Kristin P. Bennett, Emilio Parrado-Hernández
The Interplay of Optimization and Machine Learning Research. J. Mach. Learn. Res. 7 (2006)
Amiran Ambroladze, Emilio Parrado-Hernández, John Shawe-Taylor
Tighter PAC-Bayes Bounds. NIPS (2006)
D. Gutiérrez-González, Emilio Parrado-Hernández, Ángel Navia-Vázquez
Multi-kernel Growing Support Vector Regressor. IWANN (2005)
Emilio Parrado-Hernández, I. Mora-Jiménez, Jerónimo Arenas-García, Aníbal R. Figueiras-Vidal, Ángel Navia-Vázquez
Growing support vector classifiers with controlled complexity. Pattern Recognit. 36 (7) (2003)
Emilio Parrado-Hernández, Jerónimo Arenas-García, I. Mora-Jiménez, Ángel Navia-Vázquez
On problem-oriented kernel refining. Neurocomputing 55 (1-2) (2003)
Emilio Parrado-Hernández, Eduardo Gómez-Sánchez, Yannis A. Dimitriadis
Study of distributed learning as a solution to category proliferation in Fuzzy ARTMAP based neural systems. Neural Networks 16 (7) (2003)
Maria Angeles Vázquez-Castro, Emilio Parrado-Hernández, D. Belay-Zeleke, Fernando Pérez-Fontán
CDMA satellite capacity dynamics and efficiency with imperfect power control for simultaneous QoS classes and diversity. VTC Spring (2002)
Emilio Parrado-Hernández, Maria Angeles Vázquez-Castro, D. Belay-Zeleke
CDMA satellite capacity dynamics with imperfect power control for simultaneous QoS classes. GLOBECOM (2002)
Carmen Peláez-Moreno, Emilio Parrado-Hernández, Ascensión Gallardo-Antolín, Adrián Zambrano-Miranda, Fernando Díaz-de-María
An Application of SVM to Lost Packets Reconstruction in Voice-Enabled Services. ICANN (2002)
Carmen Peláez-Moreno, Ascensión Gallardo-Antolín, Emilio Parrado-Hernández, Fernando Díaz-de-María
SVM-based lost packets concealment for ASR applications over IP. EUSIPCO (2002)