Jorge Díez
Jorge Díez
ORCID:0000-0002-1314-2441 , Artificial Intelligence Center, University of Oviedo at Gijón
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Binary relevance efficacy for multilabel classification
O Luaces, J Díez, J Barranquero, JJ del Coz, A Bahamonde
Progress in Artificial Intelligence 1, 303-313, 2012
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 Gomez, I Álvarez, J Díez, ...
Journal of Animal Breeding and Genetics 120 (2), 95-105, 2003
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
Learning nondeterministic classifiers
JJ del Coz, J Díez, A Bahamonde
The Journal of Machine Learning Research 10, 2273-2293, 2009
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
Quantification-oriented learning based on reliable classifiers
J Barranquero, J Díez, JJ del Coz
Pattern Recognition 48 (2), 591-604, 2015
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
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
Deep learning to frame objects for visual target tracking
S Pang, JJ del Coz, Z Yu, O Luaces, J Díez
Engineering Applications of Artificial Intelligence 65, 406-420, 2017
Automatic plankton quantification using deep features
P González, A Castaño, EE Peacock, J Díez, JJ Del Coz, HM Sosik
Journal of Plankton Research 41 (4), 449-463, 2019
Validation methods for plankton image classification systems
P González, E Álvarez, J Díez, Á López‐Urrutia, JJ del Coz
Limnology and Oceanography: Methods 15 (3), 221-237, 2017
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
Why is quantification an interesting learning problem?
P González, J Díez, N Chawla, JJ del Coz
Progress in Artificial Intelligence 6, 53-58, 2017
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
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
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
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
A peer assessment method to provide feedback, consistent grading and reduce students' burden in massive teaching settings
O Luaces, J Díez, A Bahamonde
Computers & Education 126, 283-295, 2018
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
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
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