Juan Miguel Ortiz-de-Lazcano-Lobato

55 papers A 2B 6C 1Misc 7Journal 16Unranked 21
YearRankTypeTitle / Venue / Authors
2025 J jnl
Enhanced deep-style interpreter for automatic synthesis of annotated medical images.
Neural Comput. Appl.
Marcos Sergio Pacheco dos Santos Lima Junior, Juan Miguel Ortiz-de-Lazcano-Lobato, José David Fernández-Rodríguez, Ezequiel López-Rubio
2025 J jnl
Enhanced generation of automatically labelled image segmentation datasets by advanced style interpreter deep architectures.
Pattern Recognit. Lett.
Marcos Sergio Pacheco dos Santos Lima Junior, Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, José David Fernández-Rodríguez
2023 J jnl
Dynamic learning rates for continual unsupervised learning.
Integr. Comput. Aided Eng.
José David Fernández-Rodríguez, Esteban José Palomo, Juan Miguel Ortiz-de-Lazcano-Lobato, Gonzalo Ramos-Jiménez, Ezequiel López-Rubio
2022 — conf
A Novel Continual Learning Approach for Competitive Neural Networks.
IWINAC (1)
Esteban J. Palomo, Juan Miguel Ortiz-de-Lazcano-Lobato, José David Fernández-Rodríguez, Ezequiel López-Rubio, Rosa Maza-Quiroga
2022 B conf
Enhanced Perspective Generation by Consensus of NeX neural models.
IJCNN
Marcos Sergio Pacheco dos Santos Lima Junior, Jose David Fernández Rodriguez, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel López-Rubio, Enrique Domínguez
2022 B conf
Moving Object Detection in Noisy Video Sequences Using Deep Convolutional Disentangled Representations.
ICIP
Jorge García-González, Rafael M. Luque-Baena, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel López-Rubio
2021 — conf
Foreground Segmentation Improvement by Image Denoising Preprocessing Applied to Noisy Video Sequences.
SOCO
Jorge García-González, Juan Miguel Ortiz-de-Lazcano-Lobato, Rafael Marcos Luque Baena, Ezequiel López-Rubio
2021 J jnl
Road pollution estimation from vehicle tracking in surveillance videos by deep convolutional neural networks.
Appl. Soft Comput.
Jorge García-González, Miguel A. Molina-Cabello, Rafael M. Luque-Baena, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel López-Rubio
2020 J jnl
Background subtraction by probabilistic modeling of patch features learned by deep autoencoders.
Integr. Comput. Aided Eng.
Jorge García-González, Juan Miguel Ortiz-de-Lazcano-Lobato, Rafael M. Luque-Baena, Ezequiel López-Rubio
2020 B conf
Deep Autoencoder Architectures For Foreground Object Detection In Video Sequences Based On Probabilistic Mixture Models.
ICIP
Jorge García-González, Miguel A. Molina-Cabello, Rafael M. Luque-Baena, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel López-Rubio
2020 A conf
Foreground Detection by Probabilistic Mixture Models Using Semantic Information from Deep Networks.
ECAI
Jorge García-González, Juan Miguel Ortiz-de-Lazcano-Lobato, Rafael M. Luque-Baena, Ezequiel López-Rubio
2019 — conf
Background Modeling by Shifted Tilings of Stacked Denoising Autoencoders.
IWINAC (2)
Jorge García-González, Juan Miguel Ortiz-de-Lazcano-Lobato, Rafael M. Luque-Baena, Ezequiel López-Rubio
2019 J jnl
Foreground detection by probabilistic modeling of the features discovered by stacked denoising autoencoders in noisy video sequences.
Pattern Recognit. Lett.
Jorge García-González, Juan Miguel Ortiz-de-Lazcano-Lobato, Rafael M. Luque-Baena, Miguel A. Molina-Cabello, Ezequiel López-Rubio
2019 J jnl
Motion detection with low cost hardware for PTZ cameras.
Integr. Comput. Aided Eng.
Jesús Benito-Picazo, Enrique Domínguez, Esteban J. Palomo, Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato
2018 — conf
Background Modeling for Video Sequences by Stacked Denoising Autoencoders.
CAEPIA
Jorge García-González, Juan Miguel Ortiz-de-Lazcano-Lobato, Rafael M. Luque-Baena, Miguel A. Molina-Cabello, Ezequiel López-Rubio
2018 B conf
Deep learning-based anomalous object detection system powered by microcontroller for PTZ cameras.
IJCNN
Jesús Benito-Picazo, Enrique Domínguez, Esteban J. Palomo, Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato
2017 J jnl
A Growing Neural Gas Approach to Classify Vehicles in Traffic Environments.
Int. J. Comput. Vis. Image Process.
Miguel A. Molina-Cabello, Rafael M. Luque-Baena, Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Enrique Domínguez
2017 — conf
Motion Detection by Microcontroller for Panning Cameras.
IWINAC (2)
Jesús Benito-Picazo, Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Enrique Domínguez, Esteban J. Palomo
2017 — conf
Vehicle Classification in Traffic Environments Using the Growing Neural Gas.
IWANN (2)
Miguel A. Molina-Cabello, Rafael Marcos Luque Baena, Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Enrique Domínguez, José Muñoz-Pérez
2013 J jnl
A Competitive Neural Network for Multiple Object Tracking in Video Sequence Analysis.
Neural Process. Lett.
Rafael Marcos Luque Baena, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel López-Rubio, Enrique Domínguez, Esteban J. Palomo
2011 J jnl
Choice effect of linear separability testing methods on constructive neural network algorithms: An empirical study.
Expert Syst. Appl.
David A. Elizondo, Juan Miguel Ortiz-de-Lazcano-Lobato, Ralph Birkenhead
2011 J jnl
Dynamic topology learning with the probabilistic self-organizing graph.
Neurocomputing
Ezequiel López-Rubio, Esteban José Palomo-Ferrer, Juan Miguel Ortiz-de-Lazcano-Lobato, María del Carmen Vargas-González
2011 — conf
Feature Weighting in Competitive Learning for Multiple Object Tracking in Video Sequences.
IWANN (2)
Rafael Marcos Luque, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel López-Rubio, Enrique Domínguez, Esteban J. Palomo
2010 B conf
An anomaly detection system using a GHSOM-1.
IJCNN
Esteban J. Palomo, Juan Miguel Ortiz-de-Lazcano-Lobato, Enrique Domínguez, Rafael Marcos Luque
2009 — ch.
Analysis and Testing of the
Constructive Neural Networks
David A. Elizondo, Juan Miguel Ortiz-de-Lazcano-Lobato, Ralph Birkenhead
2009 J jnl
Automatic Model Selection by Cross-Validation for Probabilistic PCA.
Neural Process. Lett.
Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato
2009 J jnl
Dynamic Competitive Probabilistic Principal Components Analysis.
Int. J. Neural Syst.
Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato
2009 — conf
Growing Competitive Network for Tracking Objects in Video Sequences.
ICANNGA
Juan Miguel Ortiz-de-Lazcano-Lobato, Rafael Marcos Luque, Domingo López-Rodríguez, Esteban J. Palomo
2009 — conf
Hierarchical Graphs for Data Clustering.
IWANN (1)
Esteban J. Palomo, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez, Rafael Marcos Luque
2009 — ch.
MREM, Discrete Recurrent Network for Optimization.
Encyclopedia of Artificial Intelligence
Enrique Mérida Casermeiro, Domingo López-Rodríguez, Juan Miguel Ortiz-de-Lazcano-Lobato
2009 — conf
Nonparametric Location Estimation for Probability Density Function Learning.
IWANN (1)
Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, María del Carmen Vargas-González
2009 C conf
Object Tracking in Video Sequences by Unsupervised Learning.
CAIP
Rafael Marcos Luque, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel López-Rubio, Esteban J. Palomo
2009 J jnl
Probabilistic PCA Self-Organizing Maps.
IEEE Trans. Neural Networks
Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez
2009 — conf
Probabilistic Self-Organizing Graphs.
IWANN (1)
Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, María del Carmen Vargas-González
2008 — conf
On the Generalization of the m-Class RDP Neural Network.
ICANN (2)
David A. Elizondo, Juan Miguel Ortiz-de-Lazcano-Lobato, Ralph Birkenhead
2008 — conf
Robust Nonparametric Probability Density Estimation by Soft Clustering.
ICANN (1)
Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez, María del Carmen Vargas-González
2008 J jnl
Soft clustering for nonparametric probability density function estimation.
Pattern Recognit. Lett.
Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato
2007 — conf
A Novel and Efficient Method for Testing Non Linear Separability.
ICANN (1)
David A. Elizondo, Juan Miguel Ortiz-de-Lazcano-Lobato, Ralph Birkenhead
2007 — conf
A Study into the Improvement of Binary Hopfield Networks for Map Coloring.
ICANNGA (2)
Gloria Galán Marín, Enrique Mérida Casermeiro, Domingo López-Rodríguez, Juan Miguel Ortiz-de-Lazcano-Lobato
2007 Misc conf
Automatic Model Selection for Probabilistic PCA.
IWANN
Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez, María del Carmen Vargas-González
2007 Misc conf
Image Compression with Competitive Networks and Pre-fixed Prototypes.
AIAI
Enrique Mérida Casermeiro, Domingo López-Rodríguez, Juan Miguel Ortiz-de-Lazcano-Lobato
2007 — conf
Improved Production of Competitive Learning Rules with an Additional Term for Vector Quantization.
ICANNGA (1)
Enrique Mérida Casermeiro, Domingo López-Rodríguez, Gloria Galán Marín, Juan Miguel Ortiz-de-Lazcano-Lobato
2007 Misc conf
Self-organization of Probabilistic PCA Models.
IWANN
Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez, María del Carmen Vargas-González
2007 — conf
Soft Clustering for Nonparametric Probability Density Function Estimation.
ICANN (1)
Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez, María del Carmen Vargas-González
2007 Misc conf
Stochastic Functional Annealing as Optimization Technique: Application to the Traveling Salesman Problem with Recurrent Networks.
KI
Domingo López-Rodríguez, Enrique Mérida Casermeiro, Gloria Galán Marín, Juan Miguel Ortiz-de-Lazcano-Lobato
2007 — conf
Theoretical Study on the Capacity of Associative Memory with Multiple Reference Points.
IWINAC (1)
Enrique Mérida Casermeiro, Domingo López-Rodríguez, Gloria Galán Marín, Juan Miguel Ortiz-de-Lazcano-Lobato
2007 Misc conf
Two Pages Graph Layout Via Recurrent Multivalued Neural Networks.
IWANN
Domingo López-Rodríguez, Enrique Mérida Casermeiro, Juan Miguel Ortiz-de-Lazcano-Lobato, Gloria Galán Marín
2006 B conf
Enhanced maxcut clustering with multivalued neural networks and functional annealing.
ESANN
Enrique Mérida Casermeiro, Domingo López-Rodríguez, Juan Miguel Ortiz-de-Lazcano-Lobato
2006 Misc conf
Global-local learning strategies in probabilistic principal components analysis.
Artificial Intelligence and Soft Computing
Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez, Enrique Mérida Casermeiro, María del Carmen Vargas-González
2006 — conf
Image Compression by Vector Quantization with Recurrent Discrete Networks.
ICANN (2)
Domingo López-Rodríguez, Enrique Mérida Casermeiro, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel López-Rubio
2006 — conf
Local Selection of Model Parameters in Probability Density Function Estimation.
ICANN (2)
Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez, Enrique Mérida Casermeiro, María del Carmen Vargas-González
2005 — conf
Hopfield Network as Associative Memory with Multiple Reference Points.
IEC (Prague)
Domingo López-Rodríguez, Enrique Mérida Casermeiro, Juan Miguel Ortiz-de-Lazcano-Lobato
2005 Misc conf
Intrinsic Dimensionality Maps with the PCASOM.
IWANN
Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, María del Carmen Vargas-González, José Miguel López-Rubio
2004 A conf
Dynamic Selection of Model Parameters in Principal Components Analysis Neural Networks.
ECAI
Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, María del Carmen Vargas-González, José Miguel López-Rubio
2004 J jnl
Principal Components Analysis Competitive Learning.
Neural Comput.
Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, José Muñoz-Pérez, José Antonio Gómez-Ruiz