Manuel Martín-Merino - researchr alias

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Viewing Publication 1 - 29 from 29

2022

A Clustering Algorithm Based on an Ensemble of Dissimilarities: An Application in the Bioinformatics DomainManuel Martín-Merino, Alfonso José López Rivero, Vidal Alonso, Marcelo Vallejo García, Antonio Ferreras. ijimai, 7(6):6, 2022. [doi]

2013

A kernel SVM algorithm to detect mislabeled microarrays in human cancer samplesManuel Martín-Merino. bibe 2013: 1-4 [doi]

2011

Fusing Heterogeneous Data Sources Considering a Set of Equivalence ConstraintsManuel Martín-Merino. iwann 2011: 89-96 [doi]

A semi-supervised clustering algorithm that integrates heterogeneous dissimilarities and data sourcesManuel Martín-Merino. ijcnn 2011: 1732-1739 [doi]

2010

Semi-supervised Clustering Using Heterogeneous DissimilaritiesManuel Martín-Merino. gacm 2010: 375-384 [doi]

Learning a Combination of Heterogeneous Dissimilarities from Incomplete KnowledgeManuel Martín-Merino. icann 2010: 62-71 [doi]

Learning a Combination of Dissimilarities from a Set of Equivalence ConstraintsManuel Martín-Merino. icdm 2010: 41-48 [doi]

2008

Classification of multiple cancer types in a Hyper Reproducing Kernel Hilbert SpaceÁngela Blanco, Manuel Martín-Merino, Javier De Las Rivas. bibe 2008: 1-5 [doi]

Ensemble of Support Vector Machines to Improve the Cancer Class Prediction Based on the Gene Expression ProfilesÁngela Blanco, Manuel Martín-Merino, Javier De Las Rivas. In Emilio Corchado, Juan M. Corchado, Ajith Abraham, editors, Innovations in Hybrid Intelligent Systems. Volume 44 of Advances in Soft Computing, pages 393-400, Springer, 2008. [doi]

2007

Ensemble of Kernel Based Classifiers to Improve the Human Cancer Prediction using DNA MicroarraysÁngela Blanco, Manuel Martín-Merino, Javier De Las Rivas. bibe 2007: 1011-1018 [doi]

Combining dissimilarity based classifiers for cancer prediction using gene expression profilesÁngela Blanco, Manuel Martín-Merino, Javier De Las Rivas. bmcbi, 8(S-8), 2007. [doi]

A Partially Supervised Metric Multidimensional Scaling Algorithm for Textual Data VisualizationÁngela Blanco, Manuel Martín-Merino. ida 2007: 252-262 [doi]

On the Combination of Dissimilarities for Gene Expression Data AnalysisÁngela Blanco, Manuel Martín-Merino, Javier De Las Rivas. icann 2007: 110-119 [doi]

Combining SVM Classifiers for Email Anti-spam FilteringÁngela Blanco, Alba María Ricket, Manuel Martín-Merino. iwann 2007: 903-910 [doi]

Semi-supervised Metrics for Textual Data VisualizationÁngela Blanco, Manuel Martín-Merino. icann 2007: 435-444 [doi]

Ensemble of Dissimilarity Based Classifiers for Cancerous Samples ClassificationÁngela Blanco, Manuel Martín-Merino, Javier De Las Rivas. prib 2007: 178-188 [doi]

Boosting Support Vector Machines Using Multiple DissimilaritiesÁngela Blanco, Manuel Martín-Merino. kes 2007: 140-147 [doi]

2006

Electricity Load Forecasting Using Self Organizing MapsManuel Martín-Merino, Jesus Román. icann (empty year): 709-716 [doi]

A New Semi-supervised Dimension Reduction Technique for Textual Data AnalysisManuel Martín-Merino, Jesus Román. ideal 2006: 654-662 [doi]

A New SOM Algorithm for Electricity Load ForecastingManuel Martín-Merino, Jesus Román. iconip 2006: 995-1003 [doi]

2005

Extending the SOM Algorithm to Visualize Word RelationshipsManuel Martín-Merino, Alberto Muñoz. ida 2005: 228-238 [doi]

Visualizing asymmetric proximities with SOM and MDS modelsManuel Martín-Merino, Alberto Muñoz. ijon, 63:171-192, 2005. [doi]

2004

2003

Visualizing asymmetric proximities with MDS modelsAlberto Muñoz, Manuel Martín-Merino. esann 2003: 51-58 [doi]

2002

Detecting the Number of Clusters Using a Support Vector Machine ApproachJavier M. Moguerza, Alberto Muñoz, Manuel Martín-Merino. icann 2002: 763-768 [doi]

2001

Self Organizing Map and Sammon Mapping for Asymmetric ProximitiesManuel Martín-Merino, Alberto Muñoz. icann 2001: 429-435 [doi]

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