Ángela Blanco

According to our database1, Ángela Blanco authored at least 13 papers between 2007 and 2009.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

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

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


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