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Oscar Luaces
Oscar Luaces
Artificial Intelligence Center (University of Oviedo)
Geverifieerd e-mailadres voor uniovi.es - Homepage
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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
2492012
Multilabel classifiers with a probabilistic thresholding strategy
JR Quevedo, O Luaces, A Bahamonde
Pattern Recognition 45 (2), 876-883, 2012
862012
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
782001
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
682004
Graphical feature selection for multilabel classification tasks
G Lastra, O Luaces, JR Quevedo, A Bahamonde
Advances in Intelligent Data Analysis X: 10th International Symposium, IDA …, 2011
462011
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
452013
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
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
432017
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
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
402007
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
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
362011
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
Machine Learning: ECML 2004: 15th European Conference on Machine Learning …, 2004
362004
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
352008
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
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
262018
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
262009
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
252017
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
252004
Learning to predict one or more ranks in ordinal regression tasks
J Alonso, JJ del Coz, J Díez, O Luaces, A Bahamonde
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2008
232008
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Artikelen 1–20