José Ramón Quevedo

José Ramón Quevedo Pérez

	2012
j8		José Ramón Quevedo, Oscar Luaces, Antonio Bahamonde: Multilabel classifiers with a probabilistic thresholding strategy. Pattern Recognition 45(2): 876-883 (2012)
j7		José Ramón Quevedo, Antonio Bahamonde, Miguel Pérez-Enciso, Oscar Luaces: Disease Liability Prediction from Large Scale Genotyping Data Using Classifiers with a Reject Option. IEEE/ACM Trans. Comput. Biology Bioinform. 9(1): 88-97 (2012)
	2011
j6		Elena Montañés, José Ramón Quevedo, Maria M. Prieto: A greedy algorithm for dimensionality reduction in polynomial regression to forecast the performance of a power plant condenser. Intell. Data Anal. 15(5): 733-748 (2011)
j5		Elena Montañés, José Ramón Quevedo, Irene Díaz, Raquel Cortina, Pedro Alonso, José Ranilla: TagRanker: learning to recommend ranked tags. Logic Journal of the IGPL 19(2): 395-404 (2011)
c18		Gerardo Lastra, Oscar Luaces, José Ramón Quevedo, Antonio Bahamonde: Graphical Feature Selection for Multilabel Classification Tasks. IDA 2011: 246-257
c17		Elena Montañés, José Ramón Quevedo, Juan José del Coz: Aggregating Independent and Dependent Models to Learn Multi-label Classifiers. ECML/PKDD (2) 2011: 484-500
	2010
j4		Oscar Luaces, José Ramón Quevedo, Miguel Pérez-Enciso, Jorge Díez, Juan José del Coz, Antonio Bahamonde: Explaining the Genetic Basis of Complex Quantitative Traits through Prediction Models. Journal of Computational Biology 17(12): 1711-1723 (2010)
c16		José Ramón Quevedo, Elena Montañés, José Ranilla, Irene Díaz: Ranked Tag Recommendation Systems Based on Logistic Regression. HAIS (1) 2010: 237-244
c15		Oscar Luaces, Luiz Henrique A. Rodrigues, Carlos Alberto Alves Meira, José Ramón Quevedo, Antonio Bahamonde: Viability of an Alarm Predictor for Coffee Rust Disease Using Interval Regression. IEA/AIE (2) 2010: 337-346
c14		José Ramón Quevedo, Elena Montañés, Oscar Luaces, Juan José del Coz: Adapting Decision DAGs for Multipartite Ranking. ECML/PKDD (3) 2010: 115-130
	2009
c13		José Ramón Quevedo, Elena Montañés: Obtaining weights of a rubric through a pairwise learning model when the assessment process involves more than one lecturer. EDM 2009: 289-298
c12		Antonio Bahamonde, Jaime Alonso, Juan José del Coz, Jorge Díez, José Ramón Quevedo, Oscar Luaces: Prediction and Inheritance of Phenotypes. IWINAC (1) 2009: 275-284
	2007
j3		José Ramón Quevedo, Antonio Bahamonde, Oscar Luaces: A simple and efficient method for variable ranking according to their usefulness for learning. Computational Statistics & Data Analysis 52(1): 578-595 (2007)
j2		Elena Montañés, José Ramón Quevedo, Elías F. Combarro, Irene Díaz, José Ranilla: A Hybrid Feature Selection Method for Text Categorization. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 15(2): 133-151 (2007)
c11		Oscar Luaces, José Ramón Quevedo, Francisco Taboada, Guillermo M. Albaiceta, Antonio Bahamonde: Prediction of Probability of Survival in Critically Ill Patients Optimizing the Area under the ROC Curve. IJCAI 2007: 956-961
	2004
c10		Jorge Díez, Gustavo F. Bayón, José Ramón Quevedo, Juan José del Coz, Oscar Luaces, Jaime Alonso, Antonio Bahamonde: Discovering Relevancies in Very Difficult Regression Problems: Applications to Sensory Data Analysis. ECAI 2004: 993-994
c9		Oscar Luaces, Gustavo F. Bayón, José Ramón Quevedo, Jorge Díez, Juan José del Coz, Antonio Bahamonde: Analyzing Sensory Data Using Non-linear Preference Learning with Feature Subset Selection. ECML 2004: 286-297
c8		Elena Montañés, Elías F. Combarro, Irene Díaz, José Ranilla, José Ramón Quevedo: Words as Rules: Feature Selection in Text Categorization. International Conference on Computational Science 2004: 666-669
c7		Antonio Bahamonde, Gustavo F. Bayón, Jorge Díez, José Ramón Quevedo, Oscar Luaces, Juan José del Coz, Jaime Alonso, Félix Goyache: Feature subset selection for learning preferences: a case study. ICML 2004
	2003
c6		Elena Montañés, José Ramón Quevedo, Irene Díaz: A Wrapper Approach with Support Vector Machines for Text Categorization. IWANN (1) 2003: 230-237
c5		José Ramón Quevedo, Elías F. Combarro, Antonio Bahamonde: Choosing among Algorithms to Improve Accuracy. IWANN (1) 2003: 246-253
	2002
c4		José Ramón Quevedo Pérez, María Dolores García, Elena Montañés: Filtering Noisy Continuous Labeled Examples. IBERAMIA 2002: 50-59
c3		Elena Montañés, José Ramón Quevedo, Maria M. Prieto, César O. Menéndez: Forecasting Time Series Combining Machine Learning and Box-Jenkins Time Series. IBERAMIA 2002: 491-499
	2000
j1		F. López, Félix Goyache, José Ramón Quevedo, Jaime Alonso, José Ranilla, Oscar Luaces, Antonio Bahamonde, Juan José del Coz: Un sistema inteligente para calificar morfológicamente a bovinos de la raza Asturiana de los Valles. Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial 4(10): 5-17 (2000)
	1999
c2		Oscar Luaces, Juan José del Coz, José Ramón Quevedo, Jaime Alonso, José Ranilla, Antonio Bahamonde: Autonomous Clustering for Machine Learning. IWANN (1) 1999: 497-506
c1		Juan José del Coz, Oscar Luaces, José Ramón Quevedo, Jaime Alonso, José Ranilla, Antonio Bahamonde: Self-Organizing Cases to Find Paradigms. IWANN (1) 1999: 527-536

Coauthor Index

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