FRANCISCO
HERRERA TRIGUERO
CATEDRÁTICO DE UNIVERSIDAD
![Foto de Antonio Jesús](/img/nophoto.png)
Antonio Jesús
Rivera Rivas
Publicaciones en las que colabora con Antonio Jesús Rivera Rivas (18)
2019
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Dealing with difficult minority labels in imbalanced mutilabel data sets
Neurocomputing, Vol. 326-327, pp. 39-53
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REMEDIAL-HwR: Tackling multilabel imbalance through label decoupling and data resampling hybridization
Neurocomputing, Vol. 326-327, pp. 110-122
2018
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Tips, guidelines and tools for managing multi-label datasets: The mldr.datasets R package and the Cometa data repository
Neurocomputing, Vol. 289, pp. 68-85
2016
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Multilabel classification: Problem analysis, metrics and techniques
Springer International Publishing, pp. 1-194
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On the impact of dataset complexity and sampling strategy in multilabel classifiers performance
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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R ultimate multilabel dataset repository
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2015
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Addressing imbalance in multilabel classification: Measures and random resampling algorithms
Neurocomputing, Vol. 163, pp. 3-16
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MLSMOTE: Approaching imbalanced multilabel learning through synthetic instance generation
Knowledge-Based Systems, Vol. 89, pp. 385-397
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QUINTA: A Question Tagging Assistant to Improve the Answering Ratio in Electronic Forums
IEEE EUROCON 2015 - INTERNATIONAL CONFERENCE ON COMPUTER AS A TOOL (EUROCON)
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QUINTA: A question tagging assistant to improve the answering ratio in electronic forums
Proceedings - EUROCON 2015
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Resampling multilabel datasets by decoupling highly imbalanced labels
Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
2014
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Concurrence among imbalanced labels and its influence on multilabel resampling algorithms
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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LI-MLC: A label inference methodology for addressing high dimensionality in the label space for multilabel classification
IEEE Transactions on Neural Networks and Learning Systems, Vol. 25, Núm. 10, pp. 1842-1854
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MLeNN: A first approach to heuristic multilabel undersampling
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2013
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A first approach to deal with imbalance in multi-label datasets
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2012
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Improving multi-label classifiers via label reduction with association rules
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2010
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GP-COACH: Genetic Programming-based learning of COmpact and ACcurate fuzzy rule-based classification systems for High-dimensional problems
Information Sciences, Vol. 180, Núm. 8, pp. 1183-1200
2009
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A preliminar analysis of CO2RBFN in imbalanced problems
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)