Emilio Parrado-Hernandez
Emilio Parrado-Hernandez
Dirección de correo verificada de - Página principal
Citado por
Citado por
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
Growing support vector classifiers with controlled complexity
E Parrado-Hernández, I Mora-Jiménez, J Arenas-Garcıa, ...
Pattern Recognition 36 (7), 1479-1488, 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
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
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
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
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
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
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
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
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20