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Journal Articles

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2025
[j15]
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Marcos Sergio Pacheco dos Santos Lima Junior, Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, José David Fernández-Rodríguez:
Enhanced generation of automatically labelled image segmentation datasets by advanced style interpreter deep architectures. Pattern Recognit. Lett. 193: 101-107 (2025)
2023
[j14]
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José David Fernández-Rodríguez, Esteban José Palomo, Juan Miguel Ortiz-de-Lazcano-Lobato, Gonzalo Ramos-Jiménez, Ezequiel López-Rubio:
Dynamic learning rates for continual unsupervised learning. Integr. Comput. Aided Eng. 30(3): 257-273 (2023)
2021
[j13]
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Jorge García-González, Miguel A. Molina-Cabello, Rafael M. Luque-Baena, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel López-Rubio:
Road pollution estimation from vehicle tracking in surveillance videos by deep convolutional neural networks. Appl. Soft Comput. 113(Part): 107950 (2021)
2020
[j12]
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Jorge García-González, Juan Miguel Ortiz-de-Lazcano-Lobato, Rafael M. Luque-Baena, Ezequiel López-Rubio:
Background subtraction by probabilistic modeling of patch features learned by deep autoencoders. Integr. Comput. Aided Eng. 27(3): 253-265 (2020)
2019
[j11]
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Jesús Benito-Picazo, Enrique Domínguez, Esteban J. Palomo, Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato:
Motion detection with low cost hardware for PTZ cameras. Integr. Comput. Aided Eng. 26(1): 21-36 (2019)
[j10]
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Jorge García-González, Juan Miguel Ortiz-de-Lazcano-Lobato, Rafael M. Luque-Baena, Miguel A. Molina-Cabello, Ezequiel López-Rubio:
Foreground detection by probabilistic modeling of the features discovered by stacked denoising autoencoders in noisy video sequences. Pattern Recognit. Lett. 125: 481-487 (2019)
2017
[j9]
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Miguel A. Molina-Cabello, Rafael M. Luque-Baena, Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Enrique Domínguez:
A Growing Neural Gas Approach to Classify Vehicles in Traffic Environments. Int. J. Comput. Vis. Image Process. 7(3): 1-12 (2017)
2013
[j8]
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Rafael Marcos Luque Baena, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel López-Rubio, Enrique Domínguez, Esteban J. Palomo:
A Competitive Neural Network for Multiple Object Tracking in Video Sequence Analysis. Neural Process. Lett. 37(1): 47-67 (2013)
2011
[j7]
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David A. Elizondo, Juan Miguel Ortiz-de-Lazcano-Lobato, Ralph Birkenhead:
Choice effect of linear separability testing methods on constructive neural network algorithms: An empirical study. Expert Syst. Appl. 38(3): 2330-2346 (2011)
[j6]
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Ezequiel López-Rubio, Esteban José Palomo-Ferrer, Juan Miguel Ortiz-de-Lazcano-Lobato, María del Carmen Vargas-González:
Dynamic topology learning with the probabilistic self-organizing graph. Neurocomputing 74(16): 2633-2648 (2011)
2009
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Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato:
Dynamic Competitive Probabilistic Principal Components Analysis. Int. J. Neural Syst. 19(2): 91-103 (2009)
[j4]
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Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato:
Automatic Model Selection by Cross-Validation for Probabilistic PCA. Neural Process. Lett. 30(2): 113-132 (2009)
[j3]
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Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez:
Probabilistic PCA Self-Organizing Maps. IEEE Trans. Neural Networks 20(9): 1474-1489 (2009)
2008
[j2]
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Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato:
Soft clustering for nonparametric probability density function estimation. Pattern Recognit. Lett. 29(16): 2085-2091 (2008)
2004
[j1]
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Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, José Muñoz-Pérez, José Antonio Gómez-Ruiz:
Principal Components Analysis Competitive Learning. Neural Comput. 16(11): 2459-2481 (2004)

Conference and Workshop Papers

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2022
[c38]
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Jorge García-González, Rafael M. Luque-Baena, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel López-Rubio:
Moving Object Detection in Noisy Video Sequences Using Deep Convolutional Disentangled Representations. ICIP 2022: 1376-1380
[c37]
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Marcos Sergio Pacheco dos Santos Lima Junior, Jose David Fernández Rodriguez, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel López-Rubio, Enrique Domínguez:
Enhanced Perspective Generation by Consensus of NeX neural models. IJCNN 2022: 1-8
[c36]
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Esteban J. Palomo, Juan Miguel Ortiz-de-Lazcano-Lobato, José David Fernández-Rodríguez, Ezequiel López-Rubio, Rosa Maza-Quiroga:
A Novel Continual Learning Approach for Competitive Neural Networks. IWINAC (1) 2022: 223-232
2021
[c35]
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Jorge García-González, Juan Miguel Ortiz-de-Lazcano-Lobato, Rafael Marcos Luque Baena, Ezequiel López-Rubio:
Foreground Segmentation Improvement by Image Denoising Preprocessing Applied to Noisy Video Sequences. SOCO 2021: 388-397
2020
[c34]
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Jorge García-González, Juan Miguel Ortiz-de-Lazcano-Lobato, Rafael M. Luque-Baena, Ezequiel López-Rubio:
Foreground Detection by Probabilistic Mixture Models Using Semantic Information from Deep Networks. ECAI 2020: 2696-2703
[c33]
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Jorge García-González, Miguel A. Molina-Cabello, Rafael M. Luque-Baena, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel López-Rubio:
Deep Autoencoder Architectures For Foreground Object Detection In Video Sequences Based On Probabilistic Mixture Models. ICIP 2020: 3199-3203
2019
[c32]
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Jorge García-González, Juan Miguel Ortiz-de-Lazcano-Lobato, Rafael M. Luque-Baena, Ezequiel López-Rubio:
Background Modeling by Shifted Tilings of Stacked Denoising Autoencoders. IWINAC (2) 2019: 307-316
2018
[c31]
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Jorge García-González, Juan Miguel Ortiz-de-Lazcano-Lobato, Rafael M. Luque-Baena, Miguel A. Molina-Cabello, Ezequiel López-Rubio:
Background Modeling for Video Sequences by Stacked Denoising Autoencoders. CAEPIA 2018: 341-350
[c30]
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Jesús Benito-Picazo, Enrique Domínguez, Esteban J. Palomo, Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato:
Deep learning-based anomalous object detection system powered by microcontroller for PTZ cameras. IJCNN 2018: 1-7
2017
[c29]
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Miguel A. Molina-Cabello, Rafael Marcos Luque Baena, Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Enrique Domínguez, José Muñoz-Pérez:
Vehicle Classification in Traffic Environments Using the Growing Neural Gas. IWANN (2) 2017: 225-234
[c28]
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Jesús Benito-Picazo, Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Enrique Domínguez, Esteban J. Palomo:
Motion Detection by Microcontroller for Panning Cameras. IWINAC (2) 2017: 279-288
2011
[c27]
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  - conf/iwann/LuqueOLDP11
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Rafael Marcos Luque, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel López-Rubio, Enrique Domínguez, Esteban J. Palomo:
Feature Weighting in Competitive Learning for Multiple Object Tracking in Video Sequences. IWANN (2) 2011: 17-24
2010
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Esteban J. Palomo, Juan Miguel Ortiz-de-Lazcano-Lobato, Enrique Domínguez, Rafael Marcos Luque:
An anomaly detection system using a GHSOM-1. IJCNN 2010: 1-7
2009
[c25]
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Rafael Marcos Luque, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel López-Rubio, Esteban J. Palomo:
Object Tracking in Video Sequences by Unsupervised Learning. CAIP 2009: 1070-1077
[c24]
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  - conf/icannga/Ortiz-de-Lazcano-LobatoLLP09
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Juan Miguel Ortiz-de-Lazcano-Lobato, Rafael Marcos Luque, Domingo López-Rodríguez, Esteban J. Palomo:
Growing Competitive Network for Tracking Objects in Video Sequences. ICANNGA 2009: 109-118
[c23]
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Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, María del Carmen Vargas-González:
Nonparametric Location Estimation for Probability Density Function Learning. IWANN (1) 2009: 106-113
[c22]
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Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, María del Carmen Vargas-González:
Probabilistic Self-Organizing Graphs. IWANN (1) 2009: 180-187
[c21]
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Esteban J. Palomo, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez, Rafael Marcos Luque:
Hierarchical Graphs for Data Clustering. IWANN (1) 2009: 432-439
2008
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Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez, María del Carmen Vargas-González:
Robust Nonparametric Probability Density Estimation by Soft Clustering. ICANN (1) 2008: 155-164
[c19]
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David A. Elizondo, Juan Miguel Ortiz-de-Lazcano-Lobato, Ralph Birkenhead:
On the Generalization of the m-Class RDP Neural Network. ICANN (2) 2008: 734-743
2007
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Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez, María del Carmen Vargas-González:
Soft Clustering for Nonparametric Probability Density Function Estimation. ICANN (1) 2007: 707-716
[c17]
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David A. Elizondo, Juan Miguel Ortiz-de-Lazcano-Lobato, Ralph Birkenhead:
A Novel and Efficient Method for Testing Non Linear Separability. ICANN (1) 2007: 737-746
[c16]
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Domingo López-Rodríguez, Enrique Mérida Casermeiro, Juan Miguel Ortiz-de-Lazcano-Lobato, Gloria Galán Marín:
K -Pages Graph Drawing with Multivalued Neural Networks. ICANN (2) 2007: 816-825
[c15]
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Gloria Galán Marín, Enrique Mérida Casermeiro, Domingo López-Rodríguez, Juan Miguel Ortiz-de-Lazcano-Lobato:
A Study into the Improvement of Binary Hopfield Networks for Map Coloring. ICANNGA (2) 2007: 98-106
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Enrique Mérida Casermeiro, Domingo López-Rodríguez, Gloria Galán Marín, Juan Miguel Ortiz-de-Lazcano-Lobato:
Improved Production of Competitive Learning Rules with an Additional Term for Vector Quantization. ICANNGA (1) 2007: 461-469
[c13]
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Enrique Mérida Casermeiro, Domingo López-Rodríguez, Juan Miguel Ortiz-de-Lazcano-Lobato:
Image Compression with Competitive Networks and Pre-fixed Prototypes. AIAI 2007: 339-346
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Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez, María del Carmen Vargas-González:
Automatic Model Selection for Probabilistic PCA. IWANN 2007: 127-134
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Domingo López-Rodríguez, Enrique Mérida Casermeiro, Juan Miguel Ortiz-de-Lazcano-Lobato, Gloria Galán Marín:
Two Pages Graph Layout Via Recurrent Multivalued Neural Networks. IWANN 2007: 194-202
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Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez, María del Carmen Vargas-González:
Self-organization of Probabilistic PCA Models. IWANN 2007: 211-218
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Enrique Mérida Casermeiro, Domingo López-Rodríguez, Gloria Galán Marín, Juan Miguel Ortiz-de-Lazcano-Lobato:
Theoretical Study on the Capacity of Associative Memory with Multiple Reference Points. IWINAC (1) 2007: 292-302
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Domingo López-Rodríguez, Enrique Mérida Casermeiro, Gloria Galán Marín, Juan Miguel Ortiz-de-Lazcano-Lobato:
Stochastic Functional Annealing as Optimization Technique: Application to the Traveling Salesman Problem with Recurrent Networks. KI 2007: 397-411
2006
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Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez, Enrique Mérida Casermeiro, María del Carmen Vargas-González:
Global-local learning strategies in probabilistic principal components analysis. Artificial Intelligence and Soft Computing 2006: 46-51
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Enrique Mérida Casermeiro, Domingo López-Rodríguez, Juan Miguel Ortiz-de-Lazcano-Lobato:
Enhanced maxcut clustering with multivalued neural networks and functional annealing. ESANN 2006: 25-30
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Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez, Enrique Mérida Casermeiro, María del Carmen Vargas-González:
Local Selection of Model Parameters in Probability Density Function Estimation. ICANN (2) 2006: 292-301
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Domingo López-Rodríguez, Enrique Mérida Casermeiro, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel López-Rubio:
Image Compression by Vector Quantization with Recurrent Discrete Networks. ICANN (2) 2006: 595-605
2005
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Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, María del Carmen Vargas-González, José Miguel López-Rubio:
Intrinsic Dimensionality Maps with the PCASOM. IWANN 2005: 750-757
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Domingo López-Rodríguez, Enrique Mérida Casermeiro, Juan Miguel Ortiz-de-Lazcano-Lobato:
Hopfield Network as Associative Memory with Multiple Reference Points. IEC (Prague) 2005: 62-67
2004
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Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, María del Carmen Vargas-González, José Miguel López-Rubio:
Dynamic Selection of Model Parameters in Principal Components Analysis Neural Networks. ECAI 2004: 618-622

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2009
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David A. Elizondo, Juan Miguel Ortiz-de-Lazcano-Lobato, Ralph Birkenhead:
Analysis and Testing of the m-Class RDP Neural Network. Constructive Neural Networks 2009: 171-192

Reference Works

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2009
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Enrique Mérida Casermeiro, Domingo López-Rodríguez, Juan Miguel Ortiz-de-Lazcano-Lobato:
MREM, Discrete Recurrent Network for Optimization. Encyclopedia of Artificial Intelligence 2009: 1112-1120

Coauthor Index

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