Antonio Bahamonde
Antonio Bahamonde
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TitleCited byYear
Binary relevance efficacy for multilabel classification
O Luaces, J Díez, J Barranquero, JJ del Coz, A Bahamonde
Progress in Artificial Intelligence 1 (4), 303-313, 2012
1322012
Multilabel classifiers with a probabilistic thresholding strategy
JRN Quevedo, O Luaces, A Bahamonde
Pattern Recognition 45 (2), 876-883, 2012
642012
Feature subset selection for learning preferences: A case study
A Bahamonde, GF Bayón, J Díez, JR Quevedo, O Luaces, JJ Del Coz, ...
Proceedings of the twenty-first international conference on Machine learning, 7, 2004
592004
Learning nondeterministic classifiers
JJ Coz, J Díez, A Bahamonde
Journal of Machine Learning Research 10 (Oct), 2273-2293, 2009
552009
The usefulness of artificial intelligence techniques to assess subjective quality of products in the food industry
F Goyache, A Bahamonde, J Alonso, S López, JJ Del Coz, JR Quevedo, ...
Trends in Food Science & Technology 12 (10), 370-381, 2001
522001
Graphical feature selection for multilabel classification tasks
G Lastra, O Luaces, JR Quevedo, A Bahamonde
International Symposium on Intelligent Data Analysis, 246-257, 2011
382011
Artificial intelligence techniques point out differences in classification performance between light and standard bovine carcasses
J Dıez, A Bahamonde, J Alonso, S López, JJ Del Coz, JR Quevedo, ...
Meat Science 64 (3), 249-258, 2003
342003
Peer assessment in MOOCs using preference learning via matrix factorization
J Díez Peláez, Ó Luaces Rodríguez, A Alonso Betanzos, A Troncoso, ...
NIPS Workshop on Data Driven Education, 2013
332013
Clustering people according to their preference criteria
J Díez, JJ Del Coz, O Luaces, A Bahamonde
Expert Systems with Applications 34 (2), 1274-1284, 2008
332008
Using nondeterministic learners to alert on coffee rust disease
O Luaces, LHA Rodrigues, CAA Meira, A Bahamonde
Expert systems with applications 38 (11), 14276-14283, 2011
312011
How to learn consumer preferences from the analysis of sensory data by means of support vector machines (SVM)
A Bahamonde, J Díez, JR Quevedo, O Luaces, JJ del Coz
Trends in food science & technology 18 (1), 20-28, 2007
312007
Trait selection for assessing beef meat quality using non-linear SVM
J Coz, GF Bayón, J Díez, O Luaces, A Bahamonde, C Sañudo
Advances in Neural Information Processing Systems, 321-328, 2005
312005
Genetical genomics: use all data
M Pérez-Enciso, JR Quevedo, A Bahamonde
BMC genomics 8 (1), 69, 2007
302007
Analyzing sensory data using non-linear preference learning with feature subset selection
O Luaces, GF Bayón, JR Quevedo, J Díez, JJ Del Coz, A Bahamonde
European Conference on Machine Learning, 286-297, 2004
302004
Using machine learning procedures to ascertain the influence of beef carcass profiles on carcass conformation scores
J Díez, P Albertí, G Ripoll, F Lahoz, I Fernández, JL Olleta, B Panea, ...
Meat science 73 (1), 109-115, 2006
262006
A factorization approach to evaluate open-response assignments in MOOCs using preference learning on peer assessments
O Luaces, J Díez, A Alonso-Betanzos, A Troncoso, A Bahamonde
Knowledge-Based Systems 85, 322-328, 2015
252015
Identifying market segments in beef: Breed, slaughter weight and ageing time implications
J Díez, JJ Del Coz, A Bahamonde, C Sañudo, JL Olleta, S Macie, ...
Meat science 74 (4), 667-675, 2006
242006
Support Vector Regression to predict carcass weight in beef cattle in advance of the slaughter
J Alonso, ÁR Castañón, A Bahamonde
Computers and electronics in agriculture 91, 116-120, 2013
232013
Discovering relevancies in very difficult regression problems: applications to sensory data analysis
J Díez Peláez, G Fernández Bayón, JR Quevedo Pérez, JJ Coz Velasco, ...
Proceedings of the European conference on artificial intelligence (ECAI’04), 2004
232004
Using artificial intelligence to design and implement a morphological assessment system in beef cattle
F Goyache, JJ Del Coz, JR Quevedo, S López, J Alonso, J Ranilla, ...
Animal Science 73 (1), 49-60, 2001
232001
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