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ORCIDWladimiro Díaz Villanueva
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Journal Articles
- 2024
[j9]Samuel Piquer-Esteban
, Vicente Arnau, Wladimiro Díaz, Andrés Moya:
OMD Curation Toolkit: a workflow for in-house curation of public omics datasets. BMC Bioinform. 25(1): 184 (2024)- 2018
- [j8]Salvador Moreno-Picot, Francesc J. Ferri, Miguel Arevalillo-Herráez, Wladimiro Díaz Villanueva:
Efficient Analysis and Synthesis Using a New Factorization of the Gabor Frame Matrix. IEEE Trans. Signal Process. 66(17): 4564-4573 (2018) - 2016
- [j7]Juan Gutierrez-Aguado, José M. Alcaraz Calero, Wladimiro Díaz Villanueva:
IaaSMon: Monitoring Architecture for Public Cloud Computing Data Centers. J. Grid Comput. 14(2): 283-297 (2016) - 2015
- [j6]Katerine Díaz-Chito, Francesc J. Ferri, Wladimiro Díaz Villanueva:
Incremental Generalized Discriminative Common Vectors for Image Classification. IEEE Trans. Neural Networks Learn. Syst. 26(8): 1761-1775 (2015) - 2010
- [j5]Salvador Moreno-Picot, Miguel Arevalillo-Herráez, Wladimiro Díaz Villanueva:
A linear cost algorithm to compute the discrete gabor transform. IEEE Trans. Signal Process. 58(5): 2667-2674 (2010) - 2009
- [j4]Katerine Díaz-Chito, Francesc Josep Ferri Rabasa, Wladimiro Díaz Villanueva:
Feature Extraction by means of Rough Discriminative Common Vectors with Kernels. Inteligencia Artif. 13(43): 1-15 (2009) - 2004
- [j3]Miguel Murcia-Soler, Facundo Pérez-Giménez, Francisco J. García-March, M. Teresa Salabert-Salvador, Wladimiro Díaz Villanueva, María José Castro Bleda, Angel Villanueva-Pareja:
Artificial Neural Networks and Linear Discriminant Analysis: A Valuable Combination in the Selection of New Antibacterial Compounds. J. Chem. Inf. Model. 44(3): 1031-1041 (2004) - 2003
- [j2]Juan Lucas Domínguez Rubio, María José Castro Bleda, Wladimiro Díaz Villanueva:
Discriminación y predicción de propiedades de fármacos mediante redes neuronales. Inteligencia Artif. 7(18): 7-16 (2003) - [j1]Miguel Murcia-Soler, Facundo Pérez-Giménez, Francisco J. García-March, M. Teresa Salabert-Salvador, Wladimiro Díaz Villanueva, María José Castro Bleda:
Drugs and Nondrugs: An Effective Discrimination with Topological Methods and Artificial Neural Networks. J. Chem. Inf. Comput. Sci. 43(5): 1688-1702 (2003)
Conference and Workshop Papers
- 2013
- [c15]Alicia Hurtado-Cortegana, Francesc J. Ferri, Wladimiro Díaz Villanueva, Carlos Morell:
Drug Activity Characterization Using One-Class Support Vector Machines with Counterexamples. CIARP (2) 2013: 33-40 - [c14]Francesc J. Ferri, Katerine Díaz-Chito, Wladimiro Díaz Villanueva:
Fast Approximated Discriminative Common Vectors Using Rank-One SVD Updates. ICONIP (3) 2013: 368-375 - 2011
- [c13]Katerine Díaz-Chito, Francesc J. Ferri, Wladimiro Díaz Villanueva:
Null Space Based Image Recognition Using Incremental Eigendecomposition. IbPRIA 2011: 313-320 - 2010
- [c12]Katerine Díaz-Chito, Francesc J. Ferri, Wladimiro Díaz Villanueva:
Image Recognition through Incremental Discriminative Common Vectors. ACIVS (2) 2010: 304-311 - [c11]Francesc J. Ferri, Katerine Díaz-Chito, Wladimiro Díaz Villanueva:
Efficient Dimensionality Reduction on Undersampled Problems through Incremental Discriminative Common Vectors. ICDM Workshops 2010: 1159-1166 - [c10]Wladimiro Díaz Villanueva, Francesc J. Ferri, Vicente Cerverón:
Learning Improved Feature Rankings through Decremental Input Pruning for Support Vector Based Drug Activity Prediction. IEA/AIE (2) 2010: 653-661 - 2008
- [c9]Francesc J. Ferri, Katerine Díaz-Chito, Wladimiro Díaz Villanueva:
Using subspace-based learning methods for medical drug design and characterization. SMC 2008: 2111-2115 - [c8]Katerine Díaz-Chito, Francesc J. Ferri, Wladimiro Díaz Villanueva:
An Empirical Evaluation of Common Vector Based Classification Methods and Some Extensions. SSPR/SPR 2008: 977-985 - 2007
- [c7]Marcelo Armengot, Francesc J. Ferri, Wladimiro Díaz Villanueva:
Experiments about the Generalization Ability of Common Vector based Methods for Face Recognition. PRIS 2007: 129-137 - [c6]Francesc J. Ferri, Wladimiro Díaz Villanueva, Maria J. Castro:
A comparative study using different topological representations in pattern recognition based drug activity characterization. SMC 2007: 2011-2015 - 2006
- [c5]Francesc J. Ferri, Wladimiro Díaz Villanueva, María José Castro Bleda:
Experiments on automatic drug activity characterization using support vector classification. Computational Intelligence 2006: 344-349 - 2005
- [c4]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:
A Holistic Classification System for Check Amounts Based on Neural Networks with Rejection. PReMI 2005: 310-314 - 2004
- [c3]Wladimiro Díaz Villanueva, María José Castro Bleda, Francesc J. Ferri, F. Pérez, M. Murcia:
Improving Pattern Recognition Based Pharmacological Drug Selection Through ROC Analysis. CIARP 2004: 621-628 - 2003
- [c2]María José Castro Bleda, Wladimiro Díaz Villanueva, Pablo Aibar, Juan Lucas Domínguez Rubio:
Prediction and Discrimination of Pharmacological Activity by Using Artificial Neural Networks. IbPRIA 2003: 184-192 - 1998
- [c1]Enrique Ramos, Wladimiro Díaz, Vicente Cerverón, Ignacio Nebot-Gil:
Use of Parallel Computing to Improve the Accuracy of Calculated Molecular Properties. PVM/MPI 1998: 379-386
Coauthor Index
aka: Francesc Josep Ferri Rabasa
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