Manuel Martín-Merino

According to our database1, Manuel Martín-Merino authored at least 33 papers between 2001 and 2013.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2013
A kernel SVM algorithm to detect mislabeled microarrays in human cancer samples.
Proceedings of the 13th IEEE International Conference on BioInformatics and BioEngineering, 2013

2011
Fusing Heterogeneous Data Sources Considering a Set of Equivalence Constraints.
Proceedings of the Advances in Computational Intelligence, 2011

A semi-supervised clustering algorithm that integrates heterogeneous dissimilarities and data sources.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010
Semi-supervised Clustering Using Heterogeneous Dissimilarities.
Proceedings of the Structural, 2010

Learning a Combination of Dissimilarities from a Set of Equivalence Constraints.
Proceedings of the ICDMW 2010, 2010

Learning a Combination of Heterogeneous Dissimilarities from Incomplete Knowledge.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

2009
Ensemble of SVM Classifiers for Spam Filtering.
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009

A local semi-supervised Sammon algorithm for textual data visualization.
J. Intell. Inf. Syst., 2009

Improving k-NN for Human Cancer Classification Using the Gene Expression Profiles.
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.
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.
Proceedings of the Innovations in Hybrid Intelligent Systems, 2008

Combining Dissimilarities in a Hyper Reproducing Kernel Hilbert Space for Complex Human Cancer Prediction.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

Classification of multiple cancer types in a Hyper Reproducing Kernel Hilbert Space.
Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, 2008

2007
Combining dissimilarity based classifiers for cancer prediction using gene expression profiles.
BMC Bioinform., 2007

Ensemble of Dissimilarity Based Classifiers for Cancerous Samples Classification.
Proceedings of the Pattern Recognition in Bioinformatics, 2007

Boosting Support Vector Machines Using Multiple Dissimilarities.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

Combining SVM Classifiers for Email Anti-spam Filtering.
Proceedings of the Computational and Ambient Intelligence, 2007

A Partially Supervised Metric Multidimensional Scaling Algorithm for Textual Data Visualization.
Proceedings of the Advances in Intelligent Data Analysis VII, 2007

On the Combination of Dissimilarities for Gene Expression Data Analysis.
Proceedings of the Artificial Neural Networks, 2007

Semi-supervised Metrics for Textual Data Visualization.
Proceedings of the Artificial Neural Networks, 2007

Ensemble of Kernel Based Classifiers to Improve the Human Cancer Prediction using DNA Microarrays.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

2006
A New Semi-supervised Dimension Reduction Technique for Textual Data Analysis.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

A New SOM Algorithm for Electricity Load Forecasting.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

Electricity Load Forecasting Using Self Organizing Maps.
Proceedings of the Artificial Neural Networks, 2006

2005
Visualizing asymmetric proximities with SOM and MDS models.
Neurocomputing, 2005

Extending the SOM Algorithm to Visualize Word Relationships.
Proceedings of the Advances in Intelligent Data Analysis VI, 2005

2004
A New Sammon Algorithm for Sparse Data Visualization.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

A New MDS Algorithm for Textual Data Analysis.
Proceedings of the Neural Information Processing, 11th International Conference, 2004

Extending the SOM Algorithm to Non-Euclidean Distances via the Kernel Trick.
Proceedings of the Neural Information Processing, 11th International Conference, 2004

Representing hierarchical relationships using a modified Asymmetric SOM Algorithm.
Proceedings of the ESANN 2004, 2004

2003
Visualizing asymmetric proximities with MDS models.
Proceedings of the ESANN 2003, 2003

2002
Detecting the Number of Clusters Using a Support Vector Machine Approach.
Proceedings of the Artificial Neural Networks, 2002

2001
Self Organizing Map and Sammon Mapping for Asymmetric Proximities.
Proceedings of the Artificial Neural Networks, 2001


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