Domingo López-Rodríguez

发表

MREM, Discrete Recurrent Network for Optimization

Enrique Mérida Casermeiro, Domingo López-Rodríguez, Juan Miguel Ortiz-de-Lazcano-Lobato, 2009, Encyclopedia of Artificial Intelligence.

Probabilistic PCA Self-Organizing Maps

Domingo López-Rodríguez, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel López-Rubio, 2009, IEEE Transactions on Neural Networks.

Improving Neural Networks for Mechanism Kinematic Chain Isomorphism Identification

Enrique Mérida Casermeiro, Domingo López-Rodríguez, Gloria Galán Marín, 2007, Neural Processing Letters.

A conversational recommender system for diagnosis using fuzzy rules

Angel Mora, Domingo López-Rodríguez, Pablo Cordero, 2020, Expert Syst. Appl..

Robust Nonparametric Probability Density Estimation by Soft Clustering

Domingo López-Rodríguez, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel López-Rubio, 2008, ICANN.

Improving Moodle with WIRIS and M-QIT

Enrique Mérida Casermeiro, Domingo López-Rodríguez, Angel Mora, 2010, ICEIS.

Local Selection of Model Parameters in Probability Density Function Estimation

Enrique Mérida Casermeiro, Domingo López-Rodríguez, Juan Miguel Ortiz-de-Lazcano-Lobato, 2006, ICANN.

Multivalued Neural Network for Graph MaxCut Problem

Enrique Mérida-Casermeiro, Domingo López-Rodríguez, 2019 .

Hopfield Network as Associative Memory with Multiple Reference Points

Enrique Mérida Casermeiro, Domingo López-Rodríguez, Juan Miguel Ortiz-de-Lazcano-Lobato, 2005, IEC.

Automatic Model Selection for Probabilistic PCA

Domingo López-Rodríguez, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel López-Rubio, 2007, IWANN.

Integration Of Moodle Quizzes

Enrique Mérida Casermeiro, Domingo López-Rodríguez, Angel Mora, 2008, e-Learning.

Self-organization of Probabilistic PCA Models

Domingo López-Rodríguez, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel López-Rubio, 2007, IWANN.

Hebbian Iterative Method for Unsupervised Clustering with Automatic Detection of the Number of Clusters with Discrete Recurrent Networks

Enrique Mérida Casermeiro, Domingo López-Rodríguez, 2005, CAEPIA.

Hierarchical Graphs for Data Clustering

Domingo López-Rodríguez, Juan Miguel Ortiz-de-Lazcano-Lobato, Esteban J. Palomo, 2009, IWANN.

Drawing Graphs in Parallel Lines with Artificial Neural Networks

Enrique Mérida Casermeiro, Domingo López-Rodríguez, 2008, 2008 Eighth International Conference on Hybrid Intelligent Systems.

A Study into the Improvement of Binary Hopfield Networks for Map Coloring

Enrique Mérida Casermeiro, Domingo López-Rodríguez, Juan Miguel Ortiz-de-Lazcano-Lobato, 2007, ICANNGA.

Enhanced maxcut clustering with multivalued neural networks and functional annealing

Enrique Mérida Casermeiro, Domingo López-Rodríguez, Juan Miguel Ortiz-de-Lazcano-Lobato, 2006, ESANN.

Image Compression with Competitive Networks and Pre-fixed Prototypes

Enrique Mérida Casermeiro, Domingo López-Rodríguez, Juan Miguel Ortiz-de-Lazcano-Lobato, 2007, AIAI.

Two Pages Graph Layout Via Recurrent Multivalued Neural Networks

Enrique Mérida Casermeiro, Domingo López-Rodríguez, Juan Miguel Ortiz-de-Lazcano-Lobato, 2007, IWANN.

K -Pages Graph Drawing with Multivalued Neural Networks

Enrique Mérida Casermeiro, Domingo López-Rodríguez, Juan Miguel Ortiz-de-Lazcano-Lobato, 2007, ICANN.

Video Object Segmentation with Multivalued Neural Networks

Enrique Mérida Casermeiro, Domingo López-Rodríguez, Esteban J. Palomo, 2008, 2008 Eighth International Conference on Hybrid Intelligent Systems.

Graph Partitioning via Recurrent Multivalued Neural Networks

Enrique Mérida Casermeiro, Domingo López-Rodríguez, 2005, IWANN.

Image Compression by Vector Quantization with Recurrent Discrete Networks

Enrique Mérida Casermeiro, Domingo López-Rodríguez, Juan Miguel Ortiz-de-Lazcano-Lobato, 2006, ICANN.

Growing Competitive Network for Tracking Objects in Video Sequences

Domingo López-Rodríguez, Juan Miguel Ortiz-de-Lazcano-Lobato, Esteban J. Palomo, 2009, ICANNGA.

Theoretical Study on the Capacity of Associative Memory with Multiple Reference Points

Enrique Mérida Casermeiro, Domingo López-Rodríguez, Juan Miguel Ortiz-de-Lazcano-Lobato, 2007, IWINAC.

Shortest Common Superstring Problem with Discrete Neural Networks

Enrique Mérida Casermeiro, Domingo López-Rodríguez, 2009, ICANNGA.

Global-local learning strategies in probabilistic principal components analysis

Enrique Mérida Casermeiro, Domingo López-Rodríguez, Juan Miguel Ortiz-de-Lazcano-Lobato, 2006, Artificial Intelligence and Soft Computing.

Soft Clustering for Nonparametric Probability Density Function Estimation

Domingo López-Rodríguez, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel López-Rubio, 2007, ICANN.

A Neighborhood-Based Competitive Network for Video Segmentation and Object Detection

Domingo López-Rodríguez, Esteban J. Palomo, Rafael Marcos Luque Baena, 2008, ICANN.

FNOVA: FERMAT and Joomla fusion

Enrique Mérida-Casermeiro, Domingo López-Rodríguez, Salvador Merino Córdoba, 2008, EuroIMSA 2008.

Energy-aware acceleration on GPUs: Findings on a bioinformatics benchmark

Domingo López-Rodríguez, A. Rodríguez, Manuel Ujaldón, 2018, Sustain. Comput. Informatics Syst..

A New Multivalued Neural Network for Isomorphism Identification of Kinematic Chains

Enrique Mérida Casermeiro, Domingo López-Rodríguez, Gloria Galán Marín, 2010, J. Comput. Inf. Sci. Eng..

A Dipolar Competitive Neural Network for Video Segmentation

Domingo López-Rodríguez, Esteban J. Palomo, Rafael Marcos Luque Baena, 2008, IBERAMIA.

Stochastic Functional Annealing as Optimization Technique: Application to the Traveling Salesman Problem with Recurrent Networks

Enrique Mérida Casermeiro, Domingo López-Rodríguez, Juan Miguel Ortiz-de-Lazcano-Lobato, 2007, KI.

An Approach to Artificial Concept Learning Based on Human Concept Learning by Using Artificial Neural Networks

Enrique Mérida-Casermeiro, Domingo López-Rodríguez, Juan Miguel Ortiz-de-Lazcano-Lobato, 2009 .

HECACEJ: B-Learning Tool for Static Content Creation in Joomla! 1

Enrique Mérida-Casermeiro, Domingo López-Rodríguez, Salvador Merino-Cordoba, 2007 .

Improved Production of Competitive Learning Rules with an Additional Term for Vector Quantization

Enrique Mérida Casermeiro, Domingo López-Rodríguez, Juan Miguel Ortiz-de-Lazcano-Lobato, 2007, ICANNGA.

Rician Noise Estimation for 3D Magnetic Resonance Images Based on Benford's Law

Domingo López-Rodríguez, Ezequiel López-Rubio, Karl Thurnhofer-Hemsi, 2021, MICCAI.

Clustering and Identification of Core Implications

Angel Mora, Domingo López-Rodríguez, Pablo Cordero, 2021, ICFCA.