José Ramón Quevedo

46 papers A* 3A 1B 2Misc 1Journal 27Unranked 12

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Capturing waste collection planning expert knowledge in a fitness function through preference learning. CoRR Laura Fdez-Díaz, Miriam Fdez-Díaz, José Ramón Quevedo, Elena Montañés
2024	J	`jnl`	Direct side information learning for zero-shot regression. CoRR Miriam Fdez-Díaz, Elena Montañés, José Ramón Quevedo
2024	J	`jnl`	Improving importance estimation in covariate shift for providing accurate prediction error. CoRR Laura Fdez-Díaz, Sara González Tomillo, Elena Montañés, José Ramón Quevedo
2024	J	`jnl`	Regularized boosting with an increasing coefficient magnitude stop criterion as meta-learner in hyperparameter optimization stacking ensemble. CoRR Laura Fdez-Díaz, José Ramón Quevedo, Elena Montañés
2024	J	`jnl`	Target inductive methods for zero-shot regression. CoRR Miriam Fdez-Díaz, José Ramón Quevedo, Elena Montañés
2023	J	`jnl`	Direct side information learning for zero-shot regression. Neurocomputing Miriam Fdez-Díaz, Elena Montañés, José Ramón Quevedo
2023	J	`jnl`	Regularized boosting with an increasing coefficient magnitude stop criterion as meta-learner in hyperparameter optimization stacking ensemble. Neurocomputing Laura Fdez-Díaz, José Ramón Quevedo, Elena Montañés
2022	J	`jnl`	Improving importance estimation in covariate shift for providing accurate prediction error. Expert Syst. Appl. Laura Fdez-Díaz, Sara Glez-Tomillo, Elena Montañés, José Ramón Quevedo
2022	J	`jnl`	Target inductive methods for zero-shot regression. Inf. Sci. Miriam Fdez-Díaz, José Ramón Quevedo, Elena Montañés
2021	J	`jnl`	Capturing waste collection planning expert knowledge in a fitness function through preference learning. Eng. Appl. Artif. Intell. Laura Fdez-Díaz, Miriam Fdez-Díaz, José Ramón Quevedo, Elena Montañés
2020	J	`jnl`	Improving the ε-approximate algorithm for Probabilistic Classifier Chains. Knowl. Inf. Syst. Miriam Fdez-Díaz, Laura Fdez-Díaz, Deiner Mena, Elena Montañés, José Ramón Quevedo, Juan José del Coz
2019	J	`jnl`	Dynamic ensemble selection for quantification tasks. Inf. Fusion Pablo Pérez-Gállego, Alberto Castaño, José Ramón Quevedo, Juan José del Coz
2017	J	`jnl`	A family of admissible heuristics for A* to perform inference in probabilistic classifier chains. Mach. Learn. Deiner Mena, Elena Montañés, José Ramón Quevedo, Juan José del Coz
2017	J	`jnl`	A heuristic in A* for inference in nonlinear Probabilistic Classifier Chains. Knowl. Based Syst. Deiner Mena, José Ramón Quevedo, Elena Montañés, Juan José del Coz
2017	J	`jnl`	Using ensembles for problems with characterizable changes in data distribution: A case study on quantification. Inf. Fusion Pablo Pérez-Gállego, José Ramón Quevedo, Juan José del Coz
2016	J	`jnl`	An overview of inference methods in probabilistic classifier chains for multilabel classification. WIREs Data Mining Knowl. Discov. Deiner Mena, Elena Montañés, José Ramón Quevedo, Juan José del Coz
2015	A*	`conf`	Using A* for Inference in Probabilistic Classifier Chains. IJCAI Deiner Mena, Elena Montañés, José Ramón Quevedo, Juan José del Coz
2014	J	`jnl`	Dependent binary relevance models for multi-label classification. Pattern Recognit. Elena Montañés, Robin Senge, José Barranquero, José Ramón Quevedo, Juan José del Coz, Eyke Hüllermeier
2014	J	`jnl`	Ordinal classification/regression for analyzing the influence of superstars on spectators in cinema marketing. Expert Syst. Appl. Elena Montañés, Ana Suárez-Vázquez, José Ramón Quevedo
2013	J	`jnl`	Feature selection for classification of animal feed ingredients from near infrared microscopy spectra. Inf. Sci. José Antonio Sánchez del Rivero, Elena Montañés-Roces, Begoña de la Roza-Delgado, Ana Soldado, Oscar Luaces, José Ramón Quevedo, Antonio Bahamonde
2012	J	`jnl`	Disease Liability Prediction from Large Scale Genotyping Data Using Classifiers with a Reject Option. IEEE ACM Trans. Comput. Biol. Bioinform. José Ramón Quevedo, Antonio Bahamonde, Miguel Pérez-Enciso, Oscar Luaces
2012	J	`jnl`	Multilabel classifiers with a probabilistic thresholding strategy. Pattern Recognit. José Ramón Quevedo, Oscar Luaces, Antonio Bahamonde
2011	J	`jnl`	A greedy algorithm for dimensionality reduction in polynomial regression to forecast the performance of a power plant condenser. Intell. Data Anal. Elena Montañés, José Ramón Quevedo, Maria M. Prieto
2011	—	`conf`	Aggregating Independent and Dependent Models to Learn Multi-label Classifiers. ECML/PKDD (2) Elena Montañés, José Ramón Quevedo, Juan José del Coz
2011	B	`conf`	Graphical Feature Selection for Multilabel Classification Tasks. IDA Gerardo Lastra, Oscar Luaces, José Ramón Quevedo, Antonio Bahamonde
2011	J	`jnl`	TagRanker: learning to recommend ranked tags. Log. J. IGPL Elena Montañés, José Ramón Quevedo, Irene Díaz, Raquel Cortina, Pedro Alonso, José Ranilla
2010	—	`conf`	Adapting Decision DAGs for Multipartite Ranking. ECML/PKDD (3) José Ramón Quevedo, Elena Montañés, Oscar Luaces, Juan José del Coz
2010	J	`jnl`	Explaining the Genetic Basis of Complex Quantitative Traits through Prediction Models. J. Comput. Biol. Oscar Luaces, José Ramón Quevedo, Miguel Pérez-Enciso, Jorge Díez, Juan José del Coz, Antonio Bahamonde
2010	—	`conf`	Ranked Tag Recommendation Systems Based on Logistic Regression. HAIS (1) José Ramón Quevedo, Elena Montañés, José Ranilla, Irene Díaz
2010	—	`conf`	Viability of an Alarm Predictor for Coffee Rust Disease Using Interval Regression. IEA/AIE (2) Oscar Luaces, Luiz Henrique A. Rodrigues, Carlos Alberto Alves Meira, José Ramón Quevedo, Antonio Bahamonde
2009	—	`conf`	Collaborative Tag Recommendation System based on Logistic Regression. DC@PKDD/ECML Elena Montañés, José Ramón Quevedo, Irene Díaz, José Ranilla
2009	B	`conf`	Obtaining weights of a rubric through a pairwise learning model when the assessment process involves more than one lecturer. EDM José Ramón Quevedo, Elena Montañés
2009	—	`conf`	Prediction and Inheritance of Phenotypes. IWINAC (1) Antonio Bahamonde, Jaime Alonso, Juan José del Coz, Jorge Díez, José Ramón Quevedo, Oscar Luaces
2007	J	`jnl`	A Hybrid Feature Selection Method for Text Categorization. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Elena Montañés, José Ramón Quevedo, Elías F. Combarro, Irene Díaz, José Ranilla
2007	J	`jnl`	A simple and efficient method for variable ranking according to their usefulness for learning. Comput. Stat. Data Anal. José Ramón Quevedo, Antonio Bahamonde, Oscar Luaces
2007	A*	`conf`	Prediction of Probability of Survival in Critically Ill Patients Optimizing the Area under the ROC Curve. IJCAI Oscar Luaces, José Ramón Quevedo, Francisco Taboada, Guillermo M. Albaiceta, Antonio Bahamonde
2004	—	`conf`	Analyzing Sensory Data Using Non-linear Preference Learning with Feature Subset Selection. ECML Oscar Luaces, Gustavo F. Bayón, José Ramón Quevedo, Jorge Díez, Juan José del Coz, Antonio Bahamonde
2004	A	`conf`	Discovering Relevancies in Very Difficult Regression Problems: Applications to Sensory Data Analysis. ECAI Jorge Díez, Gustavo F. Bayón, José Ramón Quevedo, Juan José del Coz, Oscar Luaces, Jaime Alonso, Antonio Bahamonde
2004	A*	`conf`	Feature subset selection for learning preferences: a case study. ICML Antonio Bahamonde, Gustavo F. Bayón, Jorge Díez, José Ramón Quevedo, Oscar Luaces, Juan José del Coz, Jaime Alonso, Félix Goyache
2004	Misc	`conf`	Words as Rules: Feature Selection in Text Categorization. International Conference on Computational Science Elena Montañés, Elías F. Combarro, Irene Díaz, José Ranilla, José Ramón Quevedo
2003	—	`conf`	A Wrapper Approach with Support Vector Machines for Text Categorization. IWANN (1) Elena Montañés, José Ramón Quevedo, Irene Díaz
2003	—	`conf`	Choosing among Algorithms to Improve Accuracy. IWANN (1) José Ramón Quevedo, Elías F. Combarro, Antonio Bahamonde
2002	—	`conf`	Forecasting Time Series Combining Machine Learning and Box-Jenkins Time Series. IBERAMIA Elena Montañés, José Ramón Quevedo, Maria M. Prieto, César O. Menéndez
2000	J	`jnl`	Un sistema inteligente para calificar morfológicamente a bovinos de la raza Asturiana de los Valles. Inteligencia Artif. F. López, Félix Goyache, José Ramón Quevedo, Jaime Alonso, José Ranilla, Oscar Luaces, Antonio Bahamonde, Juan José del Coz
1999	—	`conf`	Autonomous Clustering for Machine Learning. IWANN (1) Oscar Luaces, Juan José del Coz, José Ramón Quevedo, Jaime Alonso, José Ranilla, Antonio Bahamonde
1999	—	`conf`	Self-Organizing Cases to Find Paradigms. IWANN (1) Juan José del Coz, Oscar Luaces, José Ramón Quevedo, Jaime Alonso, José Ranilla, Antonio Bahamonde