ANTONIO
BAHAMONDE RIONDA
Catedrático de Universidad
JUAN JOSE DEL
COZ VELASCO
Catedrático de Universidad
Publicaciones en las que colabora con JUAN JOSE DEL COZ VELASCO (31)
2016
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El deprendizax automáticu computacional na valoración d'exemplares bovinos d'Asturiana de los Valles
Ciencies. Cartafueyos Asturianos de Ciencia y Teunoloxía: Revista de la Academia de la Llingua Asturiana, Núm. 6, pp. 46-61
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Using tensor products to detect unconditional label dependence in multilabel classifications
Information Sciences, Vol. 329, pp. 20-32
2015
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Optimizing different loss functions in multilabel classifications
Progress in Artificial Intelligence, Vol. 3, Núm. 2, pp. 107-118
2012
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Binary relevance efficacy for multilabel classification
Progress in Artificial Intelligence, Vol. 1, Núm. 4, pp. 303-313
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Learning data structure from classes: A case study applied to population genetics
Information Sciences, Vol. 193, pp. 22-35
2010
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A semi-dependent decomposition approach to learn hierarchical classifiers
Pattern Recognition, Vol. 43, Núm. 11, pp. 3795-3804
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Explaining the genetic basis of complex quantitative traits through prediction models
Journal of Computational Biology, Vol. 17, Núm. 12, pp. 1711-1723
2009
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Learning nondeterministic classifiers
Journal of Machine Learning Research, Vol. 10, pp. 2273-2293
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Prediction and inheritance of phenotypes
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Soft margin trees
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2008
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Clustering people according to their preference criteria
Expert Systems with Applications, Vol. 34, Núm. 2, pp. 1274-1284
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Learning to predict one or more ranks in ordinal regression tasks
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2007
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El análisis de preferencias: un nuevo enfoque para el estudio de la rentabilidad empresarial
Investigaciones económicas, Vol. 31, Núm. 2, pp. 221-264
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How to learn consumer preferences from the analysis of sensory data by means of support vector machines (SVM)
Trends in Food Science and Technology, Vol. 18, Núm. 1, pp. 20-28
2006
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Identifying market segments in beef: Breed, slaughter weight and ageing time implications
Meat Science, Vol. 74, Núm. 4, pp. 667-675
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Learning the reasons why groups of consumers prefer some food products
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2005
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A kernel based method for discovering market segmente in beef meat
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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La Raza Retinta y sus cruces
Feagas, Núm. 28, pp. 72-76
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Trait selection for assessing beef meat quality using non-linear SVM
Advances in Neural Information Processing Systems
2004
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Analyzing sensory data using non-linear preference learning with feature subset selection
Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)