Manuel Martín-Merino

Paulo Vaz

IEEE Access, 2024

2022

A Clustering Algorithm Based on an Ensemble of Dissimilarities: An Application in the Bioinformatics Domain.

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[DOI]

Alfonso José López Rivero

Vidal Alonso

Marcelo Vallejo García

Antonio Ferreras

Int. J. Interact. Multim. Artif. Intell., 2022

2013

A kernel SVM algorithm to detect mislabeled microarrays in human cancer samples.

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[DOI]

Proceedings of the 13th IEEE International Conference on BioInformatics and BioEngineering, 2013

2011

Fusing Heterogeneous Data Sources Considering a Set of Equivalence Constraints.

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[DOI]

Proceedings of the Advances in Computational Intelligence, 2011

A semi-supervised clustering algorithm that integrates heterogeneous dissimilarities and data sources.

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[DOI]

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010

Semi-supervised Clustering Using Heterogeneous Dissimilarities.

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[DOI]

Proceedings of the Structural, 2010

Learning a Combination of Dissimilarities from a Set of Equivalence Constraints.

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[DOI]

Proceedings of the ICDMW 2010, 2010

Learning a Combination of Heterogeneous Dissimilarities from Incomplete Knowledge.

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[DOI]

Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

2009

Ensemble of SVM Classifiers for Spam Filtering.

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[DOI]

Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009

A local semi-supervised Sammon algorithm for textual data visualization.

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[DOI]

J. Intell. Inf. Syst., 2009

Improving k-NN for Human Cancer Classification Using the Gene Expression Profiles.

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[DOI]

Proceedings of the Advances in Intelligent Data Analysis VIII, 2009

Kernel Alignment <i>k</i>-NN for Human Cancer Classification Using the Gene Expression Profiles.

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[DOI]

Proceedings of the Artificial Neural Networks, 2009

2008

Ensemble of Support Vector Machines to Improve the Cancer Class Prediction Based on the Gene Expression Profiles.

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[DOI]

Proceedings of the Innovations in Hybrid Intelligent Systems, 2008

Combining Dissimilarities in a Hyper Reproducing Kernel Hilbert Space for Complex Human Cancer Prediction.

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[DOI]

Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

Classification of multiple cancer types in a Hyper Reproducing Kernel Hilbert Space.

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[DOI]

Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, 2008

2007

Combining dissimilarity based classifiers for cancer prediction using gene expression profiles.

[BibT_eX]

[DOI]

BMC Bioinform., 2007

Ensemble of Dissimilarity Based Classifiers for Cancerous Samples Classification.

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[DOI]

Proceedings of the Pattern Recognition in Bioinformatics, 2007

Boosting Support Vector Machines Using Multiple Dissimilarities.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

Combining SVM Classifiers for Email Anti-spam Filtering.

[BibT_eX]

[DOI]

Alba María Ricket

Proceedings of the Computational and Ambient Intelligence, 2007

A Partially Supervised Metric Multidimensional Scaling Algorithm for Textual Data Visualization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis VII, 2007

On the Combination of Dissimilarities for Gene Expression Data Analysis.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2007

Semi-supervised Metrics for Textual Data Visualization.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2007

Ensemble of Kernel Based Classifiers to Improve the Human Cancer Prediction using DNA Microarrays.

[BibT_eX]

[DOI]

Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

2006

A New Semi-supervised Dimension Reduction Technique for Textual Data Analysis.

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[DOI]

Jesus Román

Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

A New SOM Algorithm for Electricity Load Forecasting.

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[DOI]

Jesus Román

Proceedings of the Neural Information Processing, 13th International Conference, 2006

Electricity Load Forecasting Using Self Organizing Maps.

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[DOI]

Jesus Román

Proceedings of the Artificial Neural Networks, 2006

2005

Visualizing asymmetric proximities with SOM and MDS models.

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[DOI]

Neurocomputing, 2005

Extending the SOM Algorithm to Visualize Word Relationships.

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[DOI]

Proceedings of the Advances in Intelligent Data Analysis VI, 2005

2004

A New Sammon Algorithm for Sparse Data Visualization.

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[DOI]

Proceedings of the 17th International Conference on Pattern Recognition, 2004

A New MDS Algorithm for Textual Data Analysis.

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[DOI]

Proceedings of the Neural Information Processing, 11th International Conference, 2004

Extending the SOM Algorithm to Non-Euclidean Distances via the Kernel Trick.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing, 11th International Conference, 2004

Representing hierarchical relationships using a modified Asymmetric SOM Algorithm.

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[DOI]

Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004

2003

Visualizing asymmetric proximities with MDS models.

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[DOI]

Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003

2002

Detecting the Number of Clusters Using a Support Vector Machine Approach.

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[DOI]

Javier M. Moguerza

Proceedings of the Artificial Neural Networks, 2002

2001

Self Organizing Map and Sammon Mapping for Asymmetric Proximities.

[BibT_eX]

[DOI]