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
Shiliang SunShanghai Jiao Tong UniversityVerified email at cs.ecnu.edu.cn
Manel Martínez-RamónProfessor. The University of New MexicoVerified email at unm.edu
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
Miguel Lázaro-GredillaResearch @ Google DeepMind. Ex VP of research @ Vicarious AI.Verified email at deepmind.com
MARTA RUIZ LLATAUniversidad Carlos III de MadridVerified email at ing.uc3m.es

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	155	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	154	2012
Distributed support vector machines A Navia-Vázquez, D Gutierrez-Gonzalez, E Parrado-Hernández, ... IEEE Transactions on Neural Networks 17 (4), 1091-1097, 2006	110	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	63	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	61	2018
Growing support vector classifiers with controlled complexity E Parrado-Hernández, I Mora-Jiménez, J Arenas-Garcıa, ... Pattern Recognition 36 (7), 1479-1488, 2003	57	2003
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
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	50	2008
Support vector machine interpretation A Navia-Vázquez, E Parrado-Hernández Neurocomputing 69 (13), 1754-1759, 2006	40	2006
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	37	2014
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	28	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	26	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	21	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	19	2018
Progress in Self-Certified Neural Networks M Perez-Ortiz, O Rivasplata, E Parrado-Hernandez, B Guedj, ... arXiv preprint arXiv:2111.07737, 2021	18	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	13	2011

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