Emilio Parrado-Hernandez

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John Shawe-TaylorUCLVerified email at cs.ucl.ac.uk
ANGEL NAVIA VAZQUEZProf. Signal Processing and Communications. Univ. Carlos III, MadridVerified email at ing.uc3m.es
Vanessa Gómez VerdejoUniversidad Carlos III de MadridVerified email at tsc.uc3m.es
Darío García-GarcíaFeverVerified email at feverup.com
Jerónimo Arenas-GarcíaUniversidad Carlos III de MadridVerified email at uc3m.es
Guillermo RoblesUniversidad Carlos III de MadridVerified email at ing.uc3m.es
F. Diaz-de-MariaUniversidad Carlos III de MadridVerified email at ing.uc3m.es
Martínez-Tarifa; Martínez J.M.; Martíne...Universidad Carlos III de MadridVerified email at ing.uc3m.es
Kristin P. BennettProfessor of Mathematical Sciences, Renssealer Polytechnic InstituteVerified email at rpi.edu
Shiliang SunEast China Normal UniversityVerified email at cs.ecnu.edu.cn
Jorge Alfredo Ardila ReyUniversidad Técnica federico anta MariaVerified email at usm.cl
Manel Martínez-RamónProfessor. The University of New MexicoVerified email at unm.edu
Carles Soriano-Mas (ORCID:0000-00...Dep. of Social and Quantitative Psychology, University of Barcelona, and IDIBELLVerified email at ub.edu
Eduardo Gómez-SánchezETSI Telecomunicación, Universidad de Valladolid, SpainVerified email at tel.uva.es
Yannis DimitriadisProfessor, Director of GSIC/EMIC group, Universidad de ValladolidVerified email at tel.uva.es
Inmaculada Mora JiménezProfessor of Electrical and Computer Engineering, Rey Juan Carlos University (Madrid)Verified email at urjc.es
Csaba SzepesvariDeepMind & University of AlbertaVerified email at cs.ualberta.ca
Miguel Lázaro-GredillaVP of research, Vicarious AIVerified email at vicarious.com
Jussi TohkaUniversity of Eastern Finland, FinlandVerified email at uef.fi
MARTA RUIZ LLATAUniversidad Carlos III de MadridVerified email at ing.uc3m.es

Emilio Parrado-Hernandez

Universidad Carlos III de Madrid

Verified email at tsc.uc3m.es - Homepage

Machine Learning Signal Processing


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The interplay of optimization and machine learning research KP Bennett, E Parrado-Hernández The Journal of Machine Learning Research 7, 1265-1281, 2006	216	2006
Tighter PAC-bayes bounds A Ambroladze, E Parrado-Hernández, J Shawe-Taylor Advances in neural information processing systems 19, 9, 2007	139	2007
PAC-Bayes bounds with data dependent priors E Parrado-Hernández, A Ambroladze, J Shawe-Taylor, S Sun The Journal of Machine Learning Research 13 (1), 3507-3531, 2012	126	2012
Distributed support vector machines A Navia-Vázquez, D Gutierrez-Gonzalez, E Parrado-Hernández, ... IEEE Transactions on Neural Networks 17 (4), 1091-1097, 2006	105	2006
Growing support vector classifiers with controlled complexity E Parrado-Hernández, I Mora-Jiménez, J Arenas-Garcıa, ... Pattern Recognition 36 (7), 1479-1488, 2003	56	2003
Multiple partial discharge source discrimination with multiclass support vector machines G Robles, E Parrado-Hernández, J Ardila-Rey, JM Martínez-Tarifa Expert Systems with Applications 55, 417-428, 2016	55	2016
Study of distributed learning as a solution to category proliferation in Fuzzy ARTMAP based neural systems E Parrado-Hernández, E Gómez-Sánchez, YA Dimitriadis Neural Networks 16 (7), 1039-1057, 2003	51	2003
PAC-Bayes bounds for stable algorithms with instance-dependent priors O Rivasplata, E Parrado-Hernández, JS Shawe-Taylor, S Sun, ... Advances in Neural Information Processing Systems, 9214-9224, 2018	46	2018
A new distance measure for model-based sequence clustering D García-García, EP Hernández, F Díaz-de María IEEE Transactions on Pattern Analysis & Machine Intelligence, 1325-1331, 2008	46	2008
Discovering brain regions relevant to obsessive–compulsive disorder identification through bagging and transduction E Parrado-Hernández, V Gómez-Verdejo, M Martínez-Ramón, ... Medical Image Analysis 18 (3), 435-448, 2014	34	2014
Support vector machine interpretation A Navia-Vázquez, E Parrado-Hernández Neurocomputing 69 (13), 1754-1759, 2006	32	2006
Partial Discharge Spectral Characterization in HF, VHF and UHF Bands Using Particle Swarm Optimization G Robles, JM Fresno, JM Martínez-Tarifa, JA Ardila-Rey, ... Sensors 18 (3), 746, 2018	27	2018
ART-Based Model Set for Pattern Recognition: FasArt Family GI Sainz Palmero, YA Dimitriadis, JM Cano Izquierdo, E Gómez Sánchez, ... Neuro-fuzzy pattern recognition, 145-175, 2000	26	2000
Sign-consistency based variable importance for machine learning in brain imaging V Gómez-Verdejo, E Parrado-Hernández, J Tohka, ... Neuroinformatics 17 (4), 593-609, 2019	19	2019
Detection of Partial Discharge Sources Using UHF Sensors and Blind Signal Separation C Boya, G Robles, E Parrado-Hernández, M Ruiz-Llata Sensors 17 (11), 2625, 2017	18	2017
Music genre classification using the temporal structure of songs D García-García, J Arenas-García, E Parrado-Hernández, ... 2010 IEEE International Workshop on Machine Learning for Signal Processing …, 2010	16	2010
Robust Condition Assessment of Electrical Equipment with One Class Support Vector Machines Based on the Measurement of Partial Discharges E Parrado-Hernández, G Robles, JA Ardila-Rey, JM Martínez-Tarifa Energies 11 (3), 486, 2018	14	2018
State-space dynamics distance for clustering sequential data D García-García, E Parrado-Hernández, F Diaz-de-Maria Pattern Recognition 44 (5), 1014-1022, 2011	14	2011
Complexity of pattern classes and the Lipschitz property A Ambroladze, E Parrado-Hernández, J Shawe-Taylor Theoretical Computer Science 382 (3), 232-246, 2007	14	2007
Low-cost model selection for SVMs using local features M Lazaro-Gredilla, V Gomez-Verdejo, E Parrado-Hernández Engineering Applications of Artificial Intelligence 25 (6), 1203-1211, 2012	9	2012

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