Ezequiel López Rubio 个人学术档案

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Rafael Marcos Luque BaenaUniversidad de Málaga在 lcc.uma.es 的电子邮件经过验证
Miguel A. Molina-CabelloUniversity of Malaga在 lcc.uma.es 的电子邮件经过验证
Esteban PalomoUniversidad de Málaga在 lcc.uma.es 的电子邮件经过验证
Juan Miguel Ortiz de Lazcano在 lcc.uma.es 的电子邮件经过验证
Karl Thurnhofer HemsiDepartment of Computer Science and Computer Languages, Universidad de Málaga在 uma.es 的电子邮件经过验证
David Elizondo, D. Elizondo, D. A. Eliz...De Montfort University, University of Georgia, Universite Louis Pasteur在 dmu.ac.uk 的电子邮件经过验证
Rafaela Benitez RochelUniversidad de Málaga在 uma.es 的电子邮件经过验证
Domingo LopezDept. Applied Mathematics, University of Málaga在 uma.es 的电子邮件经过验证
Jesus Benito-PicazoResearcher, Universidad de Málaga在 lcc.uma.es 的电子邮件经过验证
Francisco Ortega-ZamoranoUniversidad de Málaga在 lcc.uma.es 的电子邮件经过验证
Saul Calderon-RamirezInstituto Tecnológico de Costa Rica在 tec.ac.cr 的电子邮件经过验证
Núria RoéCentro de Investigaciones Médico-Sanitarias, Fundación General de la Universidad de Málaga在 fguma.es 的电子邮件经过验证
Shengxiang YangProfessor of Computational Intelligence, De Montfort University在 dmu.ac.uk 的电子邮件经过验证
Armaghan MoemeniUniversity of Nottingham在 nottingham.ac.uk 的电子邮件经过验证
Antonio Díaz RamosUniversidad de Málaga, Departamento de Álgebra, Geometría y Topología在 uma.es 的电子邮件经过验证
Bachir BouchehamProfessor Dr, University of Skikda, Algeria在 univ-skikda.dz 的电子邮件经过验证
Safa HamrerasDIPC在 dipc.org 的电子邮件经过验证
Kayvan NajarianProfessor of Comp Med and Bioinf, Emergency Med, and Electrical and Comp Engineering在 umich.edu 的电子邮件经过验证
Jonathan GryakAssistant Professor of Computer Science, Queens College, City University of New York在 qc.cuny.edu 的电子邮件经过验证
Lipika DekaDe Montfort University在 dmu.ac.uk 的电子邮件经过验证

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Ezequiel López Rubio

Departamento de Lenguajes y Ciencias de la Computación, Universidad de Málaga

在 lcc.uma.es 的电子邮件经过验证 - 首页

redes neuronales aprendizaje profundo visión por computador reconocimiento de patrones aprendizaje no supervisado


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications JM Górriz, J Ramírez, A Ortíz, FJ Martinez-Murcia, F Segovia, J Suckling, ... Neurocomputing 410, 237-270, 2020	225	2020
Restoration of images corrupted by Gaussian and uniform impulsive noise E López-Rubio Pattern Recognition 43 (5), 1835-1846, 2010	107	2010
Foreground detection in video sequences with probabilistic self-organizing maps E López-Rubio, RM Luque-Baena, E Dominguez International Journal of Neural Systems 21 (03), 225-246, 2011	84	2011
Vehicle type detection by ensembles of convolutional neural networks operating on super resolved images MA Molina-Cabello, RM Luque-Baena, E Lopez-Rubio, ... Integrated Computer-Aided Engineering 25 (4), 321-333, 2018	80	2018
Assessment of geometric features for individual identification and verification in biometric hand systems RM Luque-Baena, D Elizondo, E López-Rubio, EJ Palomo, T Watson Expert systems with applications 40 (9), 3580-3594, 2013	69	2013
The growing hierarchical neural gas self-organizing neural network EJ Palomo, E López-Rubio IEEE transactions on neural networks and learning systems 28 (9), 2000-2009, 2016	59	2016
Kernel regression based feature extraction for 3D MR image denoising E López-Rubio, MN Florentín-Núñez Medical image analysis 15 (4), 498-513, 2011	52	2011
A principal components analysis self-organizing map E López-Rubio, J Munoz-Pérez, JA Gómez-Ruiz Neural Networks 17 (2), 261-270, 2004	50	2004
Skin lesion classification by ensembles of deep convolutional networks and regularly spaced shifting K Thurnhofer-Hemsi, E Lopez-Rubio, E Dominguez, DA Elizondo IEEE Access 9, 112193-112205, 2021	48	2021
Stochastic approximation for background modelling E López-Rubio, RM Luque-Baena Computer Vision and Image Understanding 115 (6), 735-749, 2011	43	2011
Improving uncertainty estimation with semi-supervised deep learning for covid-19 detection using chest x-ray images S Calderon-Ramirez, S Yang, A Moemeni, S Colreavy-Donnelly, ... Ieee Access 9, 85442-85454, 2021	41	2021
Radial basis function kernel optimization for support vector machine classifiers K Thurnhofer-Hemsi, E López-Rubio, MA Molina-Cabello, K Najarian arXiv preprint arXiv:2007.08233, 2020	39	2020
Content based image retrieval by ensembles of deep learning object classifiers S Hamreras, B Boucheham, MA Molina-Cabello, R Benitez-Rochel, ... Integrated computer-aided engineering 27 (3), 317-331, 2020	39	2020
Diabetic wound segmentation using convolutional neural networks C Cui, K Thurnhofer-Hemsi, R Soroushmehr, A Mishra, J Gryak, ... 2019 41st Annual International Conference of the IEEE Engineering in …, 2019	38	2019
Probabilistic PCA self-organizing maps E López-Rubio, JM Ortiz-de-Lazcano-Lobato, D López-Rodríguez IEEE Transactions on Neural Networks 20 (9), 1474-1489, 2009	38	2009
Foreground detection for moving cameras with stochastic approximation FJ López-Rubio, E López-Rubio Pattern Recognition Letters 68, 161-168, 2015	37	2015
Foreground detection by competitive learning for varying input distributions E López-Rubio, MA Molina-Cabello, RM Luque-Baena, E Domínguez International journal of neural systems 28 (05), 1750056, 2018	36	2018
Features for stochastic approximation based foreground detection FJ López-Rubio, E López-Rubio Computer Vision and Image Understanding 133, 30-50, 2015	36	2015
Probabilistic self-organizing maps for continuous data E López-Rubio IEEE Transactions on Neural Networks 21 (10), 1543-1554, 2010	36	2010
Deep learning-based video surveillance system managed by low cost hardware and panoramic cameras J Benito-Picazo, E Dominguez, EJ Palomo, E Lopez-Rubio Integrated Computer-Aided Engineering 27 (4), 373-387, 2020	35	2020

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