Computer Science
Listando 9 trabajos del autor/autora 37
Lista de trabajos en el área Computer Science
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Article
A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines
Charte, David; Charte, Francisco; Garcia, Salvador; del Jesus, Maria J.; Herrera, Francisco
INFORMATION FUSION
1566-2535 (2018)
DOI /
10.1016/j.inffus.2017.12.007
Bronze
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8
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Article
Tips, guidelines and tools for managing multi-label datasets: The mldr.datasets R package and the Cometa data repository
Charte, Francisco; Rivera, Antonio J.; Charte, David; del Jesus, Mara J.; Herrera, Francisco
NEUROCOMPUTING
0925-2312 (2018)
DOI /
10.1016/j.neucom.2018.02.011
Green submitted
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10
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An analysis on the use of autoencoders for representation learning: Fundamentals, learning task case studies, explainability and challenges
Charte, David; Charte, Francisco; del Jesus, Maria J.; Herrera, Francisco
NEUROCOMPUTING
0925-2312 (2020)
DOI /
10.1016/j.neucom.2020.04.057
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FEPDS: A Proposal for the Extraction of Fuzzy Emerging Patterns in Data Streams
Garcia-Vico, Angel Miguel; Carmona, Cristobal J.; Gonzalez, Pedro; Seker, Huseyin; del Jesus, Maria J.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
1063-6706 (2020)
DOI /
10.1109/tfuzz.2020.2992849
Green accepted
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2
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Article
Dealing with difficult minority labels in imbalanced mutilabel data sets
Charte, Francisco; Rivera, Antonio J.; del Jesus, Maria J.; Herrera, Francisco
NEUROCOMPUTING
0925-2312 (2019)
DOI /
10.1016/j.neucom.2016.08.158
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2
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REMEDIAL-HwR: Tackling multilabel imbalance through label decoupling and data resampling hybridization
Charte, Francisco; Rivera, Antonio J.; del Jesus, Maria J.; Herrera, Francisco
NEUROCOMPUTING
0925-2312 (2019)
DOI /
10.1016/j.neucom.2017.01.118
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1
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A cellular-based evolutionary approach for the extraction of emerging patterns in massive data streams
Garcia-Vico, Angel M.; Carmona, Cristobal; Gonzalez, Pedro; del Jesus, Maria J.
EXPERT SYSTEMS WITH APPLICATIONS
0957-4174 (2021)
DOI /
10.1016/j.eswa.2021.115419
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1
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Evolutionary Fuzzy Systems for Explainable Artificial Intelligence: Why, When, What for, and Where to?
Fernandez, Alberto; Herrera, Francisco; Cordon, Oscar; del Jesus, Maria Jose; Marcelloni, Francesco
IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE
1556-603X (2019)
DOI /
10.1109/mci.2018.2881645
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Review
An overview of emerging pattern mining in supervised descriptive rule discovery: taxonomy, empirical study, trends, and prospects
Garcia-Vico, A. M.; Carmona, C. J.; Martin, D.; Garcia-Borroto, M.; del Jesus, M. J.
WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY
1942-4787 (2018)
DOI /
10.1002/widm.1231
Hybrid
