| 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 | 304 | 2012 |
| 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 | 100 | 2001 |
| Multilabel classifiers with a probabilistic thresholding strategy JR Quevedo, O Luaces, A Bahamonde Pattern Recognition 45 (2), 876-883, 2012 | 88 | 2012 |
| 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 | 70 | 2004 |
| 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 | 62 | 2017 |
| 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 | 50 | 2001 |
| 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 | 49 | 2007 |
| 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 | 48 | 2013 |
| Graphical feature selection for multilabel classification tasks G Lastra, O Luaces, JR Quevedo, A Bahamonde International Symposium on Intelligent Data Analysis, 246-257, 2011 | 48 | 2011 |
| 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 | 42 | 2003 |
| 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 | 41 | 2018 |
| 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 | 40 | 2015 |
| 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 | 38 | 2011 |
| 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 | 38 | 2008 |
| 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 | 37 | 2004 |
| 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 | 33 | 2004 |
| 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 | 32 | 2017 |
| 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 | 30 | 2020 |
| 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 | 26 | 2004 |
| 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 | 25 | 2009 |
Antonio BahamondeUniversidad de Oviedo在 uniovi.es 的电子邮件经过验证
