Manuel Fernández Delgado
Citado por
Citado por
Do we need hundreds of classifiers to solve real world classification problems?
M Fernández-Delgado, E Cernadas, S Barro, D Amorim
The journal of machine learning research 15 (1), 3133-3181, 2014
An extensive experimental survey of regression methods
M Fernández-Delgado, MS Sirsat, E Cernadas, S Alawadi, S Barro, ...
Neural Networks 111, 11-34, 2019
Classifying multichannel ECG patterns with an adaptive neural network
S Barro, M Fernandez-Delgado, JA Vila-Sobrino, CV Regueiro, ...
IEEE Engineering in Medicine and Biology Magazine 17 (1), 45-55, 1998
Time-frequency analysis of heart-rate variability
J Vila, F Palacios, J Presedo, M Fernandez-Delgado, P Felix, S Barro
IEEE Engineering in Medicine and Biology Magazine 16 (5), 119-126, 1997
A new approach for TU complex characterization
JA Vila, Y Gang, JMR Presedo, M Fernández-Delgado, S Barro, M Malik
IEEE Transactions on Biomedical Engineering 47 (6), 764-772, 2000
Automatic detection and classification of grains of pollen based on shape and texture
M Rodriguez-Damian, E Cernadas, A Formella, M Fernandez-Delgado, ...
IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2006
Classification of agricultural soil parameters in India
MS Sirsat, E Cernadas, M Fernández-Delgado, R Khan
Computers and electronics in agriculture 135, 269-279, 2017
Intelligent telemonitoring of critical-care patients
S Barro, J Presedo, D Castro, M Fernandez-Delgado, S Fraga, M Lama, ...
IEEE Engineering in medicine and biology magazine 18 (4), 80-88, 1999
A comparison of machine learning algorithms for forecasting indoor temperature in smart buildings
S Alawadi, D Mera, M Fernández-Delgado, F Alkhabbas, CM Olsson, ...
Energy Systems, 1-17, 2020
Influence of normalization and color space to color texture classification
E Cernadas, M Fernandez-Delgado, E González-Rufino, P Carrión
Pattern Recognition 61, 120-138, 2017
Automatic prediction of village-wise soil fertility for several nutrients in India using a wide range of regression methods
MS Sirsat, E Cernadas, M Fernández-Delgado, S Barro
Computers and electronics in agriculture 154, 120-133, 2018
SUTIL: Intelligent ischemia monitoring system
J Vila, J Presedo, M Delgado, S Barro, R Ruiz, F Palacios
International Journal of Medical Informatics 47 (3), 193-214, 1997
MART: A multichannel ART-based neural network
M Fernández-Delgado, SB Ameneiro
IEEE Transactions on Neural Networks 9 (1), 139-150, 1998
Rapid method for finding faulty elements in antenna arrays using far field pattern samples
JA Rodriguez-Gonzalez, F Ares-Pena, M Fernandez-Delgado, R Iglesias, ...
IEEE Transactions on Antennas and Propagation 57 (6), 1679-1683, 2009
Exhaustive comparison of colour texture features and classification methods to discriminate cells categories in histological images of fish ovary
E González-Rufino, P Carrión, E Cernadas, M Fernández-Delgado, ...
Pattern Recognition 46 (9), 2391-2407, 2013
Direct Kernel Perceptron (DKP): Ultra-fast kernel ELM-based classification with non-iterative closed-form weight calculation
M Fernández-Delgado, E Cernadas, S Barro, J Ribeiro, J Neves
Neural Networks 50, 60-71, 2014
Common scab detection on potatoes using an infrared hyperspectral imaging system
A Dacal-Nieto, A Formella, P Carrión, E Vazquez-Fernandez, ...
Image Analysis and Processing–ICIAP 2011: 16th International Conference …, 2011
Element failure detection in linear antenna arrays using case-based reasoning
R Iglesias, F Ares, M Fernandez-Delgado, JA Rodriguez, J Bregains, ...
IEEE Antennas and Propagation Magazine 50 (4), 198-204, 2008
Non–destructive detection of hollow heart in potatoes using hyperspectral imaging
A Dacal-Nieto, A Formella, P Carrión, E Vazquez-Fernandez, ...
Computer Analysis of Images and Patterns: 14th International Conference …, 2011
Gastric and colon metastasis from breast cancer: case report, review of the literature, and possible underlying mechanisms
JC Villa Guzmán, J Espinosa, R Cervera, M Delgado, R Patón, ...
Breast Cancer: Targets and Therapy, 1-7, 2016
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