JAVIER FRANCISCO
MUGUERZA RIVERO
PROFESORADO CATEDRATICO/A DE UNIVERSIDAD
IÑAKI
ALBISUA GOÑI
Investigador/a en el periodo 2003-2018
Publicaciones en las que colabora con IÑAKI ALBISUA GOÑI (7)
2013
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The quest for the optimal class distribution: An approach for enhancing the effectiveness of learning via resampling methods for imbalanced data sets
Progress in Artificial Intelligence, Vol. 2, Núm. 1, pp. 45-63
2012
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Datuen birlaginketa adimentsua ikasketa automatikoan
Ekaia: Euskal Herriko Unibertsitateko zientzi eta teknologi aldizkaria, Núm. 25, pp. 217-234
2011
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C4.5 Consolidation Process: An Alternative to IntelligentOversampling Methods in Class Imbalance Problems
Advances in Artificial Intelligence: 14th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2011, La Laguna, Spain, November 7-11, 2011. Proceedings
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C4.5 consolidation process: An alternative to intelligent oversampling methods in class imbalance problems
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2010
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Consolidated trees versus bagging when explanation is required
Computing (Vienna/New York), Vol. 89, Núm. 3-4, pp. 113-145
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Obtaining optimal class distribution for decision trees: Comparative analysis of CTC and C4.5
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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SEP/COP: An efficient method to find the best partition in hierarchical clustering based on a new cluster validity index
Pattern Recognition, Vol. 43, Núm. 10, pp. 3364-3373