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Juan José del Coz
Juan José del Coz
Artificial Intelligent Center - University of Oviedo
Verified email at uniovi.es - Homepage
Title
Cited by
Cited by
Year
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
2392012
Dependent binary relevance models for multi-label classification
E Montañes, R Senge, J Barranquero, JR Quevedo, JJ del Coz, ...
Pattern Recognition 47 (3), 1494-1508, 2014
1532014
A review on quantification learning
P González, A Castaño, NV Chawla, JJD Coz
ACM Computing Surveys (CSUR) 50 (5), 1-40, 2017
982017
Learning Nondeterministic Classifiers.
JJ Del Coz, J Díez, A Bahamonde
Journal of Machine Learning Research 10 (10), 2009
892009
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
762001
Quantification-oriented learning based on reliable classifiers
J Barranquero, J Díez, JJ del Coz
Pattern Recognition 48 (2), 591-604, 2015
672015
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
672004
On the problem of error propagation in classifier chains for multi-label classification
R Senge, JJ Coz, E Hüllermeier
Data Analysis, Machine Learning and Knowledge Discovery, 163-170, 2014
612014
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
592000
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
482013
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
452001
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
442017
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
392017
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
392017
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
392003
Rectifying classifier chains for multi-label classification
R Senge, JJ del Coz, E Hüllermeier
arXiv preprint arXiv:1906.02915, 2019
382019
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
372007
Automatic plankton quantification using deep features
P González, A Castano, EE Peacock, J Díez, JJ Del Coz, HM Sosik
Journal of Plankton Research 41 (4), 449-463, 2019
362019
Analyzing sensory data using non-linear preference learning with feature subset selection
O Luaces, GF Bayón, JR Quevedo, J Díez, JJ Coz, A Bahamonde
European Conference on Machine Learning, 286-297, 2004
352004
Aggregating independent and dependent models to learn multi-label classifiers
E Montanés, JR Quevedo, JJ Coz
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2011
342011
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Articles 1–20