Juan Miguel Ortiz-de-Lazcano-Lobato
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
30
Venues
9
Active years
2004–2022
Best venue rank
National
Where they publish
Papers
30 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2022 | ICIP | Moving Object Detection in Noisy Video Sequences Using Deep Convolutional Disentangled Representations. | Jorge Garca-Gonzlez, Rafael M. Luque-Baena, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel Lpez-Rubio |
| 2022 | IJCNN | Enhanced Perspective Generation by Consensus of NeX neural models. | Marcos Sergio Pacheco dos Santos Lima Junior, Jose David Fernndez Rodriguez, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel Lpez-Rubio, Enrique Domnguez |
| 2022 | IWINAC | A Novel Continual Learning Approach for Competitive Neural Networks. | Esteban J. Palomo, Juan Miguel Ortiz-de-Lazcano-Lobato, Jos David Fernndez-Rodrguez, Ezequiel Lpez-Rubio, Rosa Maza-Quiroga |
| 2020 | ECAI | Foreground Detection by Probabilistic Mixture Models Using Semantic Information from Deep Networks. | Jorge Garca-Gonzlez, Juan Miguel Ortiz-de-Lazcano-Lobato, Rafael M. Luque-Baena, Ezequiel Lpez-Rubio |
| 2020 | ICIP | Deep Autoencoder Architectures For Foreground Object Detection In Video Sequences Based On Probabilistic Mixture Models. | Jorge Garca-Gonzlez, Miguel A. Molina-Cabello, Rafael M. Luque-Baena, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel Lpez-Rubio |
| 2019 | IWINAC | Background Modeling by Shifted Tilings of Stacked Denoising Autoencoders. | Jorge Garca-Gonzlez, Juan Miguel Ortiz-de-Lazcano-Lobato, Rafael M. Luque-Baena, Ezequiel Lpez-Rubio |
| 2018 | IJCNN | Deep learning-based anomalous object detection system powered by microcontroller for PTZ cameras. | Jess Benito-Picazo, Enrique Domnguez, Esteban J. Palomo, Ezequiel Lpez-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato |
| 2017 | IWANN | Vehicle Classification in Traffic Environments Using the Growing Neural Gas. | Miguel A. Molina-Cabello, Rafael Marcos Luque Baena, Ezequiel Lpez-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Enrique Domnguez, Jos Muoz-Prez |
| 2017 | IWINAC | Motion Detection by Microcontroller for Panning Cameras. | Jess Benito-Picazo, Ezequiel Lpez-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Enrique Domnguez, Esteban J. Palomo |
| 2011 | IWANN | Feature Weighting in Competitive Learning for Multiple Object Tracking in Video Sequences. | Rafael Marcos Luque, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel Lpez-Rubio, Enrique Domnguez, Esteban J. Palomo |
| 2010 | IJCNN | An anomaly detection system using a GHSOM-1. | Esteban J. Palomo, Juan Miguel Ortiz-de-Lazcano-Lobato, Enrique Domnguez, Rafael Marcos Luque |
| 2009 | CAIP | Object Tracking in Video Sequences by Unsupervised Learning. | Rafael Marcos Luque, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel Lpez-Rubio, Esteban J. Palomo |
| 2009 | IWANN | Nonparametric Location Estimation for Probability Density Function Learning. | Ezequiel Lpez-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Mara del Carmen Vargas-Gonzlez |
| 2009 | IWANN | Probabilistic Self-Organizing Graphs. | Ezequiel Lpez-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Mara del Carmen Vargas-Gonzlez |
| 2009 | IWANN | Hierarchical Graphs for Data Clustering. | Esteban J. Palomo, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo Lpez-Rodrguez, Rafael Marcos Luque |
| 2008 | ICANN | On the Generalization of the m-Class RDP Neural Network. | David A. Elizondo, Juan Miguel Ortiz-de-Lazcano-Lobato, Ralph Birkenhead |
| 2008 | ICANN | Robust Nonparametric Probability Density Estimation by Soft Clustering. | Ezequiel Lpez-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo Lpez-Rodrguez, Mara del Carmen Vargas-Gonzlez |
| 2007 | ICANN | A Novel and Efficient Method for Testing Non Linear Separability. | David A. Elizondo, Juan Miguel Ortiz-de-Lazcano-Lobato, Ralph Birkenhead |
| 2007 | ICANN | Untitled record | Domingo Lpez-Rodrguez, Enrique Mrida Casermeiro, Juan Miguel Ortiz-de-Lazcano-Lobato, Gloria Galn Marn |
| 2007 | ICANN | Soft Clustering for Nonparametric Probability Density Function Estimation. | Ezequiel Lpez-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo Lpez-Rodrguez, Mara del Carmen Vargas-Gonzlez |
| 2007 | IWANN | Two Pages Graph Layout Via Recurrent Multivalued Neural Networks. | Domingo Lpez-Rodrguez, Enrique Mrida Casermeiro, Juan Miguel Ortiz-de-Lazcano-Lobato, Gloria Galn Marn |
| 2007 | IWANN | Automatic Model Selection for Probabilistic PCA. | Ezequiel Lpez-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo Lpez-Rodrguez, Mara del Carmen Vargas-Gonzlez |
| 2007 | IWANN | Self-organization of Probabilistic PCA Models. | Ezequiel Lpez-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo Lpez-Rodrguez, Mara del Carmen Vargas-Gonzlez |
| 2007 | IWINAC | Theoretical Study on the Capacity of Associative Memory with Multiple Reference Points. | Enrique Mrida Casermeiro, Domingo Lpez-Rodrguez, Gloria Galn Marn, Juan Miguel Ortiz-de-Lazcano-Lobato |
| 2007 | KI | Stochastic Functional Annealing as Optimization Technique: Application to the Traveling Salesman Problem with Recurrent Networks. | Domingo Lpez-Rodrguez, Enrique Mrida Casermeiro, Gloria Galn Marn, Juan Miguel Ortiz-de-Lazcano-Lobato |
| 2006 | ESANN | Enhanced maxcut clustering with multivalued neural networks and functional annealing. | Enrique Mrida Casermeiro, Domingo Lpez-Rodrguez, Juan Miguel Ortiz-de-Lazcano-Lobato |
| 2006 | ICANN | Image Compression by Vector Quantization with Recurrent Discrete Networks. | Domingo Lpez-Rodrguez, Enrique Mrida Casermeiro, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel Lpez-Rubio |
| 2006 | ICANN | Local Selection of Model Parameters in Probability Density Function Estimation. | Ezequiel Lpez-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo Lpez-Rodrguez, Enrique Mrida Casermeiro, Mara del Carmen Vargas-Gonzlez |
| 2005 | IWANN | Intrinsic Dimensionality Maps with the PCASOM. | Ezequiel Lpez-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Mara del Carmen Vargas-Gonzlez, Jos Miguel Lpez-Rubio |
| 2004 | ECAI | Dynamic Selection of Model Parameters in Principal Components Analysis Neural Networks. | Ezequiel Lpez-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Mara del Carmen Vargas-Gonzlez, Jos Miguel Lpez-Rubio |