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
1792003
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
1522012
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
1072002
Learning nondeterministic classifiers
JJ del Coz, J Díez, A Bahamonde
The Journal of Machine Learning Research 10, 2273-2293, 2009
632009
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
592001
Quantification-oriented learning based on reliable classifiers
J Barranquero, J Díez, JJ del Coz
Pattern Recognition 48 (2), 591-604, 2015
492015
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
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
352013
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
342013
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
282015
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
252006
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
Enhancing directed binary trees for multi-class classification
E MontañéS, J Barranquero, J DíEz, JJ Del Coz
Information Sciences 223, 42-55, 2013
222013
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