SVM-based lost packets concealment for ASR applications over IP. - Carmen Peláez-Moreno; Ascensión Gallardo-Antolín; Emilio Parrado-Hernández; Fernando Díaz-de-María (EUSIPCO, 2002)

CDMA satellite capacity dynamics with imperfect power control for simultaneous QoS classes. - Emilio Parrado-Hernández; Maria Angeles Vázquez-Castro; D. Belay-Zeleke (GLOBECOM, 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 (ICANN, 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 (VTC Spring, 2002)

On problem-oriented kernel refining. - Emilio Parrado-Hernández; Jerónimo Arenas-García; I. Mora-Jiménez; Ángel Navia-Vázquez (Neurocomputing, 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)

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)

Multi-kernel Growing Support Vector Regressor. - D. Gutiérrez-González; Emilio Parrado-Hernández; Ángel Navia-Vázquez (IWANN, 2005)

Tighter PAC-Bayes Bounds. - Amiran Ambroladze; Emilio Parrado-Hernández; John Shawe-Taylor (NIPS, 2006)

Support vector machine interpretation. - Ángel Navia-Vázquez; Emilio Parrado-Hernández (Neurocomputing, 2006)

The Interplay of Optimization and Machine Learning Research. - Kristin P. Bennett; Emilio Parrado-Hernández (J. Mach. Learn. Res., 2006)

Distributed support vector machines. - Ángel Navia-Vázquez; D. Gutiérrez-González; Emilio Parrado-Hernández; J. J. Navarro-Abellan (IEEE Trans. Neural Networks, 2006)

Complexity of pattern classes and the Lipschitz property. - Amiran Ambroladze; Emilio Parrado-Hernández; John Shawe-Taylor (Theor. Comput. Sci., 2007)

Sequence Segmentation via Clustering of Subsequences. - Dario García-García; Emilio Parrado-Hernández; Fernando Díaz-de-María (ICMLA, 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)

Data Dependent Priors in PAC-Bayes Bounds. - John Shawe-Taylor; Emilio Parrado-Hernández; Amiran Ambroladze (COMPSTAT, 2010)

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 (MLINI, 2011)

State-space dynamics distance for clustering sequential data. - Dario García-García; Emilio Parrado-Hernández; Fernando Díaz-de-María (Pattern Recognit., 2011)

Music Genre Classification based on Dynamical Models. - Alberto García-Durán; Jerónimo Arenas-García; Dario García-García; Emilio Parrado-Hernández (ICPRAM (2), 2012)

Classifier-based affinities for clustering sets of vectors. - Dario García-García; Raúl Santos-Rodríguez; Emilio Parrado-Hernández (MLSP, 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 (PRNI, 2012)

Low-cost model selection for SVMs using local features. - Miguel Lázaro-Gredilla; Vanessa Gómez-Verdejo; Emilio Parrado-Hernández (Eng. Appl. Artif. Intell., 2012)

PAC-bayes bounds with data dependent priors. - Emilio Parrado-Hernández; Amiran Ambroladze; John Shawe-Taylor; Shiliang Sun (J. Mach. Learn. Res., 2012)

Interference-aware MIMO precoder design with realistic power constraints. - Felipe Llinares-López; Matilde Sánchez Fernández; Emilio Parrado-Hernández; Ana García Armada (ICC Workshops, 2013)

Automatic Design of Neuromarkers for OCD Characterization. - Oscar García Hinde; Emilio Parrado-Hernández; Vanessa Gómez-Verdejo; Manel Martínez-Ramón; Carles Soriano-Mas (ECML/PKDD (1), 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)

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)

A novel framework for parsimonious multivariate analysis. - Sergio Muñoz-Romero; Vanessa Gómez-Verdejo; Emilio Parrado-Hernández (Pattern Recognit., 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)

PAC-Bayes bounds for stable algorithms with instance-dependent priors. - Omar Rivasplata; Csaba Szepesvári; John Shawe-Taylor; Emilio Parrado-Hernández; Shiliang Sun (NeurIPS, 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)

Sign-Consistency Based Variable Importance for Machine Learning in Brain Imaging. - Vanessa Gómez-Verdejo; Emilio Parrado-Hernández; Jussi Tohka (Neuroinformatics, 2019)

Progress in Self-Certified Neural Networks. - María Pérez-Ortiz 001; Omar Rivasplata; Emilio Parrado-Hernández; Benjamin Guedj; John Shawe-Taylor (CoRR, 2021)

Bayesian learning of feature spaces for multitasks problems. - Carlos Sevilla-Salcedo; Ascensión Gallardo-Antolín; Vanessa Gómez-Verdejo; Emilio Parrado-Hernández (CoRR, 2022)

The Relevance Feature and Vector Machine for health applications. - Albert Belenguer-Llorens; Carlos Sevilla-Salcedo; Emilio Parrado-Hernández; Vanessa Gómez-Verdejo (CoRR, 2024)

Bayesian learning of feature spaces for multitask regression. - Carlos Sevilla-Salcedo; Ascensión Gallardo-Antolín; Vanessa Gómez-Verdejo; Emilio Parrado-Hernández (Neural Networks, 2024)

Adaptive Sparse Gaussian Process. - Vanessa Gómez-Verdejo; Emilio Parrado-Hernández; Manel Martínez-Ramón (IEEE Trans. Neural Networks Learn. Syst., 2024)