Wladimiro Díaz Villanueva

According to our database, Wladimiro Díaz Villanueva authored at least 24 papers between 1998 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

OMD Curation Toolkit: a workflow for in-house curation of public omics datasets.

Samuel Piquer-Esteban, Vicente Arnau, Wladimiro Díaz, Andrés Moya

BMC Bioinform., December, 2024

2018

Efficient Analysis and Synthesis Using a New Factorization of the Gabor Frame Matrix.

Salvador Moreno-Picot, Francesc J. Ferri, Miguel Arevalillo-Herráez, Wladimiro Díaz Villanueva

IEEE Trans. Signal Process., 2018

2016

IaaSMon: Monitoring Architecture for Public Cloud Computing Data Centers.

Juan Gutierrez-Aguado, José M. Alcaraz Calero, Wladimiro Díaz Villanueva

J. Grid Comput., 2016

2015

Incremental Generalized Discriminative Common Vectors for Image Classification.

Katerine Díaz-Chito, Francesc J. Ferri, Wladimiro Díaz Villanueva

IEEE Trans. Neural Networks Learn. Syst., 2015

2013

Fast Approximated Discriminative Common Vectors Using Rank-One SVD Updates.

Francesc J. Ferri, Katerine Díaz-Chito, Wladimiro Díaz Villanueva

Proceedings of the Neural Information Processing - 20th International Conference, 2013

Drug Activity Characterization Using One-Class Support Vector Machines with Counterexamples.

Alicia Hurtado-Cortegana, Francesc J. Ferri, Wladimiro Díaz Villanueva, Carlos Morell

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013

2011

Null Space Based Image Recognition Using Incremental Eigendecomposition.

Katerine Díaz-Chito, Francesc J. Ferri, Wladimiro Díaz Villanueva

Proceedings of the Pattern Recognition and Image Analysis - 5th Iberian Conference, 2011

2010

A linear cost algorithm to compute the discrete gabor transform.

Salvador Moreno-Picot, Miguel Arevalillo-Herráez, Wladimiro Díaz Villanueva

IEEE Trans. Signal Process., 2010

Learning Improved Feature Rankings through Decremental Input Pruning for Support Vector Based Drug Activity Prediction.

Wladimiro Díaz Villanueva, Francesc J. Ferri, Vicente Cerverón

Proceedings of the Trends in Applied Intelligent Systems, 2010

Efficient Dimensionality Reduction on Undersampled Problems through Incremental Discriminative Common Vectors.

Francesc J. Ferri, Katerine Díaz-Chito, Wladimiro Díaz Villanueva

Proceedings of the ICDMW 2010, 2010

Image Recognition through Incremental Discriminative Common Vectors.

Katerine Díaz-Chito, Francesc J. Ferri, Wladimiro Díaz Villanueva

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2010

2009

Feature Extraction by means of Rough Discriminative Common Vectors with Kernels.

Katerine Díaz-Chito, Francesc Josep Ferri Rabasa, Wladimiro Díaz Villanueva

Inteligencia Artif., 2009

2008

An Empirical Evaluation of Common Vector Based Classification Methods and Some Extensions.

Katerine Díaz-Chito, Francesc J. Ferri, Wladimiro Díaz Villanueva

Proceedings of the Structural, 2008

Using subspace-based learning methods for medical drug design and characterization.

Francesc J. Ferri, Katerine Díaz-Chito, Wladimiro Díaz Villanueva

Proceedings of the IEEE International Conference on Systems, 2008

2007

A comparative study using different topological representations in pattern recognition based drug activity characterization.

Francesc J. Ferri, Wladimiro Díaz Villanueva, Maria J. Castro

Proceedings of the IEEE International Conference on Systems, 2007

Experiments about the Generalization Ability of Common Vector based Methods for Face Recognition.

Marcelo Armengot, Francesc J. Ferri, Wladimiro Díaz Villanueva

Proceedings of the Pattern Recognition in Information Systems, 2007

2006

Experiments on automatic drug activity characterization using support vector classification.

Francesc J. Ferri, Wladimiro Díaz Villanueva, María José Castro Bleda

Proceedings of the Second IASTED International Conference on Computational Intelligence, 2006

2005

A Holistic Classification System for Check Amounts Based on Neural Networks with Rejection.

María José Castro, Wladimiro Díaz Villanueva, Francesc J. Ferri, José Ruiz-Pinales, René Jaime-Rivas, Fernando Blat, Salvador España Boquera, Pablo Aibar, Sergio Grau, David Griol

Proceedings of the Pattern Recognition and Machine Intelligence, 2005

2004

Artificial Neural Networks and Linear Discriminant Analysis: A Valuable Combination in the Selection of New Antibacterial Compounds.

Miguel Murcia-Soler, Facundo Pérez-Giménez, Francisco J. García-March, M. Teresa Salabert-Salvador, Wladimiro Díaz Villanueva, María José Castro Bleda, Angel Villanueva-Pareja

J. Chem. Inf. Model., 2004

Improving Pattern Recognition Based Pharmacological Drug Selection Through ROC Analysis.

Wladimiro Díaz Villanueva, María José Castro Bleda, Francesc J. Ferri, F. Pérez, M. Murcia

Proceedings of the Progress in Pattern Recognition, 2004

2003

Drugs and Nondrugs: An Effective Discrimination with Topological Methods and Artificial Neural Networks.

Miguel Murcia-Soler, Facundo Pérez-Giménez, Francisco J. García-March, M. Teresa Salabert-Salvador, Wladimiro Díaz Villanueva, María José Castro Bleda

J. Chem. Inf. Comput. Sci., 2003

Discriminación y predicción de propiedades de fármacos mediante redes neuronales.

Juan Lucas Domínguez Rubio, María José Castro Bleda, Wladimiro Díaz Villanueva

Inteligencia Artif., 2003

Prediction and Discrimination of Pharmacological Activity by Using Artificial Neural Networks.

María José Castro Bleda, Wladimiro Díaz Villanueva, Pablo Aibar, Juan Lucas Domínguez Rubio

Proceedings of the Pattern Recognition and Image Analysis, First Iberian Conference, 2003

1998

Use of Parallel Computing to Improve the Accuracy of Calculated Molecular Properties.

Enrique Ramos, Wladimiro Díaz, Vicente Cerverón, Ignacio Nebot-Gil

Proceedings of the Recent Advances in Parallel Virtual Machine and Message Passing Interface, 1998