Emilio Parrado-Hernandez
Emilio Parrado-Hernandez
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Cited by
The interplay of optimization and machine learning research
KP Bennett, E Parrado-Hernández
The Journal of Machine Learning Research 7, 1265-1281, 2006
Tighter PAC-bayes bounds
A Ambroladze, E Parrado-Hernández, J Shawe-Taylor
Advances in neural information processing systems 19, 9, 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
Distributed support vector machines
A Navia-Vázquez, D Gutierrez-Gonzalez, E Parrado-Hernández, ...
IEEE Transactions on Neural Networks 17 (4), 1091-1097, 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
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
Growing support vector classifiers with controlled complexity
E Parrado-Hernández, I Mora-Jiménez, J Arenas-Garcıa, ...
Pattern Recognition 36 (7), 1479-1488, 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
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
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
Support vector machine interpretation
A Navia-Vázquez, E Parrado-Hernández
Neurocomputing 69 (13), 1754-1759, 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
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
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
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
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
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
Complexity of pattern classes and the Lipschitz property
A Ambroladze, E Parrado-Hernández, J Shawe-Taylor
Theoretical Computer Science 382 (3), 232-246, 2007
Progress in Self-Certified Neural Networks
M Perez-Ortiz, O Rivasplata, E Parrado-Hernandez, B Guedj, ...
arXiv preprint arXiv:2111.07737, 2021
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
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