Verónica
Bolón Canedo
Profesora Titular de Universidad
María Noelia
Sánchez Maroño
Profesora Titular de Universidad
Publicaciones en las que colabora con María Noelia Sánchez Maroño (39)
2024
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Preface
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2019
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A Review of Microarray Datasets: Where to Find Them and Specific Characteristics
Methods in Molecular Biology (Humana Press Inc.), pp. 65-85
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Insights into distributed feature ranking
Information Sciences, Vol. 496, pp. 378-398
2018
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On the scalability of feature selection methods on high-dimensional data
Knowledge and Information Systems, Vol. 56, Núm. 2, pp. 395-442
2017
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Exploring the consequences of distributed feature selection in DNA microarray data
Proceedings of the International Joint Conference on Neural Networks
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Preprocessing in big data: New challenges for discretization and feature selection
Frontiers in Data Science (CRC Press), pp. 285-328
2016
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A comparison of performance of K-complex classification methods using feature selection
Information Sciences, Vol. 328, pp. 1-14
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A unified pipeline for online feature selection and classification
Expert Systems with Applications, Vol. 55, pp. 532-545
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Feature selection for high-dimensional data
Progress in Artificial Intelligence, Vol. 5, Núm. 2, pp. 65-75
2015
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A distributed feature selection approach based on a complexity measure
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Distributed feature selection: An application to microarray data classification
Applied Soft Computing Journal, Vol. 30, pp. 136-150
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Real-time tear film classification through cost-based feature selection
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Recent advances and emerging challenges of feature selection in the context of big data
Knowledge-Based Systems, Vol. 86, pp. 33-45
2014
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A framework for cost-based feature selection
Pattern Recognition
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A methodology for improving tear film lipid layer classification
IEEE Journal of Biomedical and Health Informatics, Vol. 18, Núm. 4, pp. 1485-1493
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A review of microarray datasets and applied feature selection methods
Information Sciences, Vol. 282, pp. 111-135
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Data classification using an ensemble of filters
Neurocomputing, Vol. 135, pp. 13-20
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Learning on vertically partitioned data based on chi-square feature selection and naive bayes classification
ICAART 2014 - Proceedings of the 6th International Conference on Agents and Artificial Intelligence
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MC-ReliefF: An extension of ReliefF for cost-based feature selection
ICAART 2014 - Proceedings of the 6th International Conference on Agents and Artificial Intelligence
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Toward parallel feature selection from vertically partitioned data
22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2014 - Proceedings