Juan Miguel Ortiz-de-Lazcano-Lobato

Publication Activity (10 Years)

Years Active: 2004-2023
Publications (10 Years): 17

Top Topics

Growing Neural Gas

Background Model

Foreground Detection

Object Detection

Top Venues

Integr. Comput. Aided Eng.

Publications

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) (2023)
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)
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)
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)
Jorge García-Gozález, 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)
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) (2021)
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) (2020)
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)
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)
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)
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) (2019)
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 (2019)
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)
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)
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) (2017)
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)
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)
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) (2013)
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) (2011)
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)
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) (2011)
Esteban J. Palomo, Juan Miguel Ortiz-de-Lazcano-Lobato, Enrique Domínguez, Rafael Marcos Luque
An anomaly detection system using a GHSOM-1. IJCNN (2010)
Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez
Probabilistic PCA Self-Organizing Maps. IEEE Trans. Neural Networks 20 (9) (2009)
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)
Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato
Dynamic Competitive Probabilistic Principal Components Analysis. Int. J. Neural Syst. 19 (2) (2009)
Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, María del Carmen Vargas-González
Probabilistic Self-Organizing Graphs. IWANN (1) (2009)
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)
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)
Esteban J. Palomo, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez, Rafael Marcos Luque
Hierarchical Graphs for Data Clustering. IWANN (1) (2009)
Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato
Automatic Model Selection by Cross-Validation for Probabilistic PCA. Neural Process. Lett. 30 (2) (2009)
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)
Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato
Soft clustering for nonparametric probability density function estimation. Pattern Recognit. Lett. 29 (16) (2008)
David A. Elizondo, Juan Miguel Ortiz-de-Lazcano-Lobato, Ralph Birkenhead
On the Generalization of the m-Class RDP Neural Network. ICANN (2) (2008)
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)
David A. Elizondo, Juan Miguel Ortiz-de-Lazcano-Lobato, Ralph Birkenhead
A Novel and Efficient Method for Testing Non Linear Separability. ICANN (1) (2007)
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)
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)
Domingo López-Rodríguez, Enrique Mérida Casermeiro, Juan Miguel Ortiz-de-Lazcano-Lobato, Gloria Galán Marín
-Pages Graph Drawing with Multivalued Neural Networks. ICANN (2) (2007)
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)
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)
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)
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)
Enrique Mérida Casermeiro, Domingo López-Rodríguez, Juan Miguel Ortiz-de-Lazcano-Lobato
Image Compression with Competitive Networks and Pre-fixed Prototypes. AIAI (2007)
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)
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)
Enrique Mérida Casermeiro, Domingo López-Rodríguez, Juan Miguel Ortiz-de-Lazcano-Lobato
Enhanced maxcut clustering with multivalued neural networks and functional annealing. ESANN (2006)
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)
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)
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)
Domingo López-Rodríguez, Enrique Mérida Casermeiro, Juan Miguel Ortiz-de-Lazcano-Lobato
Hopfield Network as Associative Memory with Multiple Reference Points. IEC (Prague) (2005)
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) (2004)
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)