Wladimiro Díaz Villanueva
Orcid: 0000-0002-8970-4367
According to our database1,
Wladimiro Díaz Villanueva
authored at least 23 papers
between 1998 and 2018.
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Bibliography
2018
Efficient Analysis and Synthesis Using a New Factorization of the Gabor Frame Matrix.
IEEE Trans. Signal Process., 2018
2016
J. Grid Comput., 2016
2015
IEEE Trans. Neural Networks Learn. Syst., 2015
2013
Proceedings of the Neural Information Processing - 20th International Conference, 2013
Drug Activity Characterization Using One-Class Support Vector Machines with Counterexamples.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013
2011
Proceedings of the Pattern Recognition and Image Analysis - 5th Iberian Conference, 2011
2010
IEEE Trans. Signal Process., 2010
Learning Improved Feature Rankings through Decremental Input Pruning for Support Vector Based Drug Activity Prediction.
Proceedings of the Trends in Applied Intelligent Systems, 2010
Efficient Dimensionality Reduction on Undersampled Problems through Incremental Discriminative Common Vectors.
Proceedings of the ICDMW 2010, 2010
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2010
2009
Inteligencia Artif., 2009
2008
An Empirical Evaluation of Common Vector Based Classification Methods and Some Extensions.
Proceedings of the Structural, 2008
Proceedings of the IEEE International Conference on Systems, 2008
2007
A comparative study using different topological representations in pattern recognition based drug activity characterization.
Proceedings of the IEEE International Conference on Systems, 2007
Experiments about the Generalization Ability of Common Vector based Methods for Face Recognition.
Proceedings of the Pattern Recognition in Information Systems, 2007
2006
Experiments on automatic drug activity characterization using support vector classification.
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.
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.
J. Chem. Inf. Model., 2004
Improving Pattern Recognition Based Pharmacological Drug Selection Through ROC Analysis.
Proceedings of the Progress in Pattern Recognition, 2004
2003
Drugs and Nondrugs: An Effective Discrimination with Topological Methods and Artificial Neural Networks.
J. Chem. Inf. Comput. Sci., 2003
Inteligencia Artif., 2003
Prediction and Discrimination of Pharmacological Activity by Using Artificial Neural Networks.
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.
Proceedings of the Recent Advances in Parallel Virtual Machine and Message Passing Interface, 1998