Juan José del Coz
Juan José del Coz
Artificial Intelligent Center - University of Oviedo
Verified email at - Homepage
Cited by
Cited by
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
Dependent binary relevance models for multi-label classification
E Montanes, R Senge, J Barranquero, JR Quevedo, JJ del Coz, ...
Pattern Recognition 47 (3), 1494-1508, 2014
A review on quantification learning
P González, A Castaño, NV Chawla, JJD Coz
ACM Computing Surveys (CSUR) 50 (5), 1-40, 2017
Learning Nondeterministic Classifiers.
JJ Del Coz, J Díez, A Bahamonde
Journal of Machine Learning Research 10 (10), 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 problem of error propagation in classifier chains for multi-label classification
R Senge, JJ Del Coz, E Hüllermeier
Data Analysis, Machine Learning and Knowledge Discovery, 163-170, 2014
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
Using ensembles for problems with characterizable changes in data distribution: A case study on quantification
P Pérez-Gállego, JR Quevedo, JJ del Coz
Information Fusion 34, 87-100, 2017
Development of a distributive control scheme for fluorescent lighting based on LonWorks technology
JM Alonso, J Ribas, JJD Coz, AJ Calleja, EL Corominas, M Rico-Secades
IEEE Transactions on Industrial Electronics 47 (6), 1253-1262, 2000
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
Dynamic ensemble selection for quantification tasks
P Pérez-Gállego, A Castano, JR Quevedo, JJ del Coz
Information Fusion 45, 1-15, 2019
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
Rectifying classifier chains for multi-label classification
R Senge, JJ del Coz, E Hüllermeier
arXiv preprint arXiv:1906.02915, 2019
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
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
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