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Oscar Luaces
Oscar Luaces
Artificial Intelligence 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, 303-313, 2012
3002012
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
992001
Multilabel classifiers with a probabilistic thresholding strategy
JR Quevedo, O Luaces, A Bahamonde
Pattern Recognition 45 (2), 876-883, 2012
892012
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
692004
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
572017
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
492001
Graphical feature selection for multilabel classification tasks
G Lastra, O Luaces, JR Quevedo, A Bahamonde
International Symposium on Intelligent Data Analysis, 246-257, 2011
482011
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
472013
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
452007
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
412018
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
412003
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
402015
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
382008
Using nondeterministic learners to alert on coffee rust disease
O Luaces, LHA Rodrigues, CAA Meira, A Bahamonde
Expert systems with applications 38 (11), 14276-14283, 2011
372011
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
372004
Trait selection for assessing beef meat quality using non-linear SVM
J Coz, G Bayón, J Díez, O Luaces, A Bahamonde, C Sanudo
Advances in Neural Information Processing Systems 17, 2004
332004
Content-based methods in peer assessment of open-response questions to grade students as authors and as graders
O Luaces, J Díez, A Alonso-Betanzos, A Troncoso, A Bahamonde
Knowledge-Based Systems 117, 79-87, 2017
302017
Towards explainable personalized recommendations by learning from users’ photos
J Díez, P Pérez-Núnez, O Luaces, B Remeseiro, A Bahamonde
Information Sciences 520, 416-430, 2020
292020
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
262004
Predicting the probability of survival in intensive care unit patients from a small number of variables and training examples
O Luaces, F Taboada, GM Albaiceta, LA Domínguez, P Enríquez, ...
Artificial intelligence in medicine 45 (1), 63-76, 2009
242009
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Articles 1–20