José Ramón Quevedo

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 17

Top Topics

Waste Collection

Ordinal Classification

Preference Learning

Ensemble Selection

Top Venues

Expert Syst. Appl.

Publications

Laura Fdez-Díaz, Sara González Tomillo, Elena Montañés, José Ramón Quevedo
Improving importance estimation in covariate shift for providing accurate prediction error. CoRR (2024)
Miriam Fdez-Díaz, Elena Montañés, José Ramón Quevedo
Direct side information learning for zero-shot regression. CoRR (2024)
Miriam Fdez-Díaz, José Ramón Quevedo, Elena Montañés
Target inductive methods for zero-shot regression. CoRR (2024)
Laura Fdez-Díaz, José Ramón Quevedo, Elena Montañés
Regularized boosting with an increasing coefficient magnitude stop criterion as meta-learner in hyperparameter optimization stacking ensemble. CoRR (2024)
Laura Fernández Díaz, Miriam Fernández Díaz, José Ramón Quevedo, Elena Montañés
Capturing waste collection planning expert knowledge in a fitness function through preference learning. CoRR (2024)
Laura Fdez-Díaz, José Ramón Quevedo, Elena Montañés
Regularized boosting with an increasing coefficient magnitude stop criterion as meta-learner in hyperparameter optimization stacking ensemble. Neurocomputing 551 (2023)
Miriam Fdez-Díaz, Elena Montañés, José Ramón Quevedo
Direct side information learning for zero-shot regression. Neurocomputing 561 (2023)
Laura Fdez-Díaz, Sara Glez-Tomillo, Elena Montañés, José Ramón Quevedo
Improving importance estimation in covariate shift for providing accurate prediction error. Expert Syst. Appl. 193 (2022)
Miriam Fdez-Díaz, José Ramón Quevedo, Elena Montañés
Target inductive methods for zero-shot regression. Inf. Sci. 599 (2022)
Laura Fdez-Díaz, Miriam Fdez-Díaz, José Ramón Quevedo, Elena Montañés
Capturing waste collection planning expert knowledge in a fitness function through preference learning. Eng. Appl. Artif. Intell. 99 (2021)
Miriam Fdez-Díaz, Laura Fdez-Díaz, Deiner Mena, Elena Montañés, José Ramón Quevedo, Juan José del Coz
Improving the ε-approximate algorithm for Probabilistic Classifier Chains. Knowl. Inf. Syst. 62 (7) (2020)
Pablo Pérez-Gállego, Alberto Castaño, José Ramón Quevedo, Juan José del Coz
Dynamic ensemble selection for quantification tasks. Inf. Fusion 45 (2019)
Deiner Mena, Elena Montañés, José Ramón Quevedo, Juan José del Coz
A family of admissible heuristics for A* to perform inference in probabilistic classifier chains. Mach. Learn. 106 (1) (2017)
Deiner Mena, José Ramón Quevedo, Elena Montañés, Juan José del Coz
A heuristic in A* for inference in nonlinear Probabilistic Classifier Chains. Knowl. Based Syst. 126 (2017)
Pablo Pérez-Gállego, José Ramón Quevedo, Juan José del Coz
Using ensembles for problems with characterizable changes in data distribution: A case study on quantification. Inf. Fusion 34 (2017)
Deiner Mena, Elena Montañés, José Ramón Quevedo, Juan José del Coz
An overview of inference methods in probabilistic classifier chains for multilabel classification. WIREs Data Mining Knowl. Discov. 6 (6) (2016)
Deiner Mena, Elena Montañés, José Ramón Quevedo, Juan José del Coz
Using A* for Inference in Probabilistic Classifier Chains. IJCAI (2015)
Elena Montañés, Robin Senge, José Barranquero, José Ramón Quevedo, Juan José del Coz, Eyke Hüllermeier
Dependent binary relevance models for multi-label classification. Pattern Recognit. 47 (3) (2014)
Elena Montañés, Ana Suárez-Vázquez, José Ramón Quevedo
Ordinal classification/regression for analyzing the influence of superstars on spectators in cinema marketing. Expert Syst. Appl. 41 (18) (2014)
José Antonio Sánchez del Rivero, Elena Montañés-Roces, Begoña de la Roza-Delgado, Ana Soldado, Oscar Luaces, José Ramón Quevedo, Antonio Bahamonde
Feature selection for classification of animal feed ingredients from near infrared microscopy spectra. Inf. Sci. 241 (2013)
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. Biol. Bioinform. 9 (1) (2012)
José Ramón Quevedo, Oscar Luaces, Antonio Bahamonde
Multilabel classifiers with a probabilistic thresholding strategy. Pattern Recognit. 45 (2) (2012)
Gerardo Lastra, Oscar Luaces, José Ramón Quevedo, Antonio Bahamonde
Graphical Feature Selection for Multilabel Classification Tasks. IDA (2011)
Elena Montañés, José Ramón Quevedo, Juan José del Coz
Aggregating Independent and Dependent Models to Learn Multi-label Classifiers. ECML/PKDD (2) (2011)
Elena Montañés, José Ramón Quevedo, Irene Díaz, Raquel Cortina, Pedro Alonso, José Ranilla
TagRanker: learning to recommend ranked tags. Log. J. IGPL 19 (2) (2011)
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) (2011)
José Ramón Quevedo, Elena Montañés, José Ranilla, Irene Díaz
Ranked Tag Recommendation Systems Based on Logistic Regression. HAIS (1) (2010)
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. J. Comput. Biol. 17 (12) (2010)
José Ramón Quevedo, Elena Montañés, Oscar Luaces, Juan José del Coz
Adapting Decision DAGs for Multipartite Ranking. ECML/PKDD (3) (2010)
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)
Elena Montañés, José Ramón Quevedo, Irene Díaz, José Ranilla
Collaborative Tag Recommendation System based on Logistic Regression. DC@PKDD/ECML (2009)
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)
Antonio Bahamonde, Jaime Alonso, Juan José del Coz, Jorge Díez, José Ramón Quevedo, Oscar Luaces
Prediction and Inheritance of Phenotypes. IWINAC (1) (2009)
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)
Elena Montañés, José Ramón Quevedo, Elías F. Combarro, Irene Díaz, José Ranilla
A Hybrid Feature Selection Method for Text Categorization. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 15 (2) (2007)
José Ramón Quevedo, Antonio Bahamonde, Oscar Luaces
A simple and efficient method for variable ranking according to their usefulness for learning. Comput. Stat. Data Anal. 52 (1) (2007)
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)
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)
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)
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)
Elena Montañés, José Ramón Quevedo, Irene Díaz
A Wrapper Approach with Support Vector Machines for Text Categorization. IWANN (1) (2003)
José Ramón Quevedo, Elías F. Combarro, Antonio Bahamonde
Choosing among Algorithms to Improve Accuracy. IWANN (1) (2003)
Elena Montañés, José Ramón Quevedo, Maria M. Prieto, César O. Menéndez
Forecasting Time Series Combining Machine Learning and Box-Jenkins Time Series. IBERAMIA (2002)
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 Artif. 4 (10) (2000)
Juan José del Coz, Oscar Luaces, José Ramón Quevedo, Jaime Alonso, José Ranilla, Antonio Bahamonde
Self-Organizing Cases to Find Paradigms. IWANN (1) (1999)
Oscar Luaces, Juan José del Coz, José Ramón Quevedo, Jaime Alonso, José Ranilla, Antonio Bahamonde
Autonomous Clustering for Machine Learning. IWANN (1) (1999)