Emilio Parrado-Hernandez

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John Shawe-TaylorUCLVerified email at cs.ucl.ac.uk
Vanessa Gómez VerdejoUniversidad Carlos III de MadridVerified email at tsc.uc3m.es
ANGEL NAVIA VAZQUEZProf. Signal Processing and Communications. Univ. Carlos III, MadridVerified email at ing.uc3m.es
Darío García-GarcíaFeverVerified email at feverup.com
Guillermo RoblesUniversidad Carlos III de MadridVerified email at ing.uc3m.es
F. Diaz-de-MariaUniversidad Carlos III de MadridVerified email at ing.uc3m.es
Jerónimo Arenas-GarcíaUniversidad Carlos III de MadridVerified email at 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
Manel Martínez-RamónProfessor. The University of New MexicoVerified email at unm.edu
Shiliang SunShanghai Jiao Tong UniversityVerified email at cs.ecnu.edu.cn
Jorge Alfredo Ardila ReyUniversidad Técnica federico anta MariaVerified email at usm.cl
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
Jussi TohkaUniversity of Eastern Finland, FinlandVerified email at uef.fi
MARTA RUIZ LLATAUniversidad Carlos III de MadridVerified email at ing.uc3m.es
Carlos Boya, Ph.D.Instituto Técnico Superior Especializado (ITSE) PanamáVerified email at itse.ac.pa

Emilio Parrado-Hernandez

Universidad Carlos III de Madrid

Verified email at ing.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	234	2006
Tighter PAC-bayes bounds A Ambroladze, E Parrado-Hernández, J Shawe-Taylor Advances in neural information processing systems 19, 9, 2007	154	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	151	2012
Distributed support vector machines A Navia-Vázquez, D Gutierrez-Gonzalez, E Parrado-Hernández, ... IEEE Transactions on Neural Networks 17 (4), 1091-1097, 2006	114	2006
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	67	2016
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	63	2018
Growing support vector classifiers with controlled complexity E Parrado-Hernández, I Mora-Jiménez, J Arenas-Garcıa, ... Pattern Recognition 36 (7), 1479-1488, 2003	58	2003
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	52	2008
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
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	40	2014
Support vector machine interpretation A Navia-Vázquez, E Parrado-Hernández Neurocomputing 69 (13), 1754-1759, 2006	40	2006
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	31	2019
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
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	23	2017
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	22	2018
Progress in Self-Certified Neural Networks M Perez-Ortiz, O Rivasplata, E Parrado-Hernandez, B Guedj, ... arXiv preprint arXiv:2111.07737, 2021	20	2021
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	18	2010
Complexity of pattern classes and the Lipschitz property A Ambroladze, E Parrado-Hernández, J Shawe-Taylor Theoretical Computer Science 382 (3), 232-246, 2007	16	2007
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	12	2011

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