Effective Feature Selection Method for Class-Imbalance Datasets Applied to Chemical Toxicity Prediction von Antelo-Collado, Aurelio, Carrasco-Velar, Ramón, García-Pedrajas, Nicolás, Cerruela-García, Gonzalo

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State of the Art, Trends and Future of Bluetooth Low Energy, Near Field Communication and Visible Light Communication in the Development of Smart Cities von Cerruela García, Gonzalo, Luque Ruiz, Irene, Gómez-Nieto, Miguel Ángel

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Multilabel and Missing Label Methods for Binary Quantitative Structure–Activity Relationship Models: An Application for the Prediction of Adverse Drug Reactions von Pérez-Parras Toledano, José, García-Pedrajas, Nicolás, Cerruela-García, Gonzalo

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Boosted feature selectors: a case study on prediction P-gp inhibitors and substrates von Cerruela García, Gonzalo, García-Pedrajas, Nicolás

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Graph-Based Feature Selection Approach for Molecular Activity Prediction von Cerruela-García, Gonzalo, Cuevas-Muñoz, José Manuel, García-Pedrajas, Nicolás

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Maximum common property: a new approach for molecular similarity von Antelo-Collado, Aurelio, Carrasco-Velar, Ramón, García-Pedrajas, Nicolás, Cerruela-García, Gonzalo

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Influence of feature rankers in the construction of molecular activity prediction models von Cerruela-García, Gonzalo, Pérez-Parra Toledano, José, de Haro-García, Aída, García-Pedrajas, Nicolás

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An ensemble approach for in silico prediction of Ames mutagenicity von Cerruela García, Gonzalo, García-Pedrajas, Nicolás, Luque Ruiz, Irene, Gómez-Nieto, Miguel Ángel

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Interactive mosaic building and its application to marketing strategies using NFC von Luque Ruiz, Irene, Cerruela García, Gonzalo, Gómez-Nieto, Miguel Ángel

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Ensembles of feature selectors for dealing with class-imbalanced datasets: A proposal and comparative study von de Haro-García, Aida, Cerruela-García, Gonzalo, García-Pedrajas, Nicolás

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Cooperative coevolutionary instance selection for multilabel problems von García-Pedrajas, Nicolás, Cerruela-García, Gonzalo

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Instance selection based on boosting for instance-based learners von de Haro-García, Aida, Cerruela-García, Gonzalo, García-Pedrajas, Nicolás

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MABUSE: A margin optimization based feature subset selection algorithm using boosting principles von García-Pedrajas, Nicolás, Cerruela-García, Gonzalo

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A thorough experimental comparison of multilabel methods for classification performance von García-Pedrajas, Nicolás E., Cuevas-Muñoz, José M., Cerruela-García, Gonzalo, de Haro-García, Aida

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Analysis and Study of Molecule Data Sets Using Snowflake Diagrams of Weighted Maximum Common Subgraph Trees von Cerruela García, Gonzalo, Luque Ruiz, Irene, Gómez-Nieto, Miguel Ángel

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Extensive experimental comparison among multilabel methods focused on ranking performance von García-Pedrajas, Nicolás E., Cuevas-Muñoz, José M., Cerruela-García, Gonzalo, de Haro-García, Aida

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Clustering Chemical Databases Using Adaptable Projection Cells and MCS Similarity Values von Luque Ruiz, Irene, Cerruela García, Gonzalo, Gómez-Nieto, Miguel Ángel

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SI(FS)2: Fast simultaneous instance and feature selection for datasets with many features von García-Pedrajas, Nicolás, del Castillo, Juan A. Romero, Cerruela-García, Gonzalo

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A ubiquitous NFC solution for the development of tailored marketing strategies based on discount vouchers and loyalty cards von Borrego-Jaraba, Francisco, Garrido, Pilar Castro, García, Gonzalo Cerruela, Ruiz, Irene Luque, Gómez-Nieto, Miguel Angel

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Dimensionality analysis in machine learning failure detection models. A case study with LNG compressors von Hidalgo-Mompeán, Fernando, Gómez Fernández, Juan Francisco, Cerruela-García, Gonzalo, Crespo Márquez, Adolfo

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