Jorge Díez
Jorge Díez
ORCID:0000-0002-1314-2441 , Artificial Intelligence Center, University of Oviedo at Gijón
Verified email at uniovi.es - Homepage
Title
Cited by
Cited by
Year
Using pedigree information to monitor genetic variability of endangered populations: the Xalda sheep breed of Asturias as an example
F Goyache, JP Gutiérrez, I Fernández, E Gómez, I Álvarez, J Díez, ...
Journal of Animal Breeding and Genetics 120 (2), 95-105, 2003
1822003
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
1602012
Genetic relationships between calving date, calving interval, age at first calving and type traits in beef cattle
JP Gutiérrez, I Álvarez, I Fernández, LJ Royo, J Dıez, F Goyache
Livestock Production Science 78 (3), 215-222, 2002
1122002
Learning nondeterministic classifiers
JJ del Coz, J Díez, A Bahamonde
The Journal of Machine Learning Research 10, 2273-2293, 2009
642009
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
602004
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
602001
Quantification-oriented learning based on reliable classifiers
J Barranquero, J Díez, JJ del Coz
Pattern Recognition 48 (2), 591-604, 2015
502015
On the study of nearest neighbor algorithms for prevalence estimation in binary problems
J Barranquero, P González, J Díez, JJ Del Coz
Pattern Recognition 46 (2), 472-482, 2013
362013
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
362013
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
362003
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
332007
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
322008
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
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
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
292015
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
282006
Enhancing directed binary trees for multi-class classification
E MontañéS, J Barranquero, J DíEz, JJ Del Coz
Information Sciences 223, 42-55, 2013
242013
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
232006
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
Learning to predict one or more ranks in ordinal regression tasks
J Alonso, JJ Del Coz, J Díez, O Luaces, A Bahamonde
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2008
222008
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Articles 1–20