Forecasting Time Series Combining Machine Learning and Box-Jenkins Time Series. - Elena Montañés; José Ramón Quevedo; Maria M. Prieto; César O. Menéndez (IBERAMIA, 2002)

Filtering Noisy Continuous Labeled Examples. - José Ramón Quevedo Pérez; María Dolores García; Elena Montañés (IBERAMIA, 2002)

Measures of Rule Quality for Feature Selection in Text Categorization. - Elena Montañés; Javier Fernández 002; Irene Díaz; Elías F. Combarro; José Ranilla (IDA, 2003)

A Comparison of the Performance of SVM and ARNI on Text Categorization with New Filtering Measures on an Unbalanced Collection. - Elías F. Combarro; Elena Montañés; José Ranilla; Javier Fernández 002 (IWANN (2), 2003)

A Wrapper Approach with Support Vector Machines for Text Categorization. - Elena Montañés; José Ramón Quevedo; Irene Díaz (IWANN (1), 2003)

Text Categorization by a Machine-Learning-Based Term Selection. - Javier Fernández 002; Elena Montañés; Irene Díaz; José Ranilla; Elías F. Combarro (DEXA, 2004)

Extraction of Document Descriptive Terms with a Linguistic-Based Machine Learning Approach. - Javier Fernández 002; Elena Montañés; Irene Díaz; José Ranilla; Elías F. Combarro (International Conference on Computational Science, 2004)

Words as Rules: Feature Selection in Text Categorization. - Elena Montañés; Elías F. Combarro; Irene Díaz; José Ranilla; José Ramón Quevedo (International Conference on Computational Science, 2004)

Improving performance of text categorization by combining filtering and supportvector machines. - Irene Díaz; José Ranilla; Elena Montañés; Javier Fernández 002; Elías F. Combarro (J. Assoc. Inf. Sci. Technol., 2004)

Unsupervised Learning in Information Retrieval Using NOW Architectures. - Elías F. Combarro; José Ranilla; Ricardo Mones; N. Vázquez; Irene Díaz; Elena Montañés (EUROCAST, 2005)

Towards Automatic and Optimal Filtering Levels for Feature Selection in Text Categorization. - Elena Montañés; Elías F. Combarro; Irene Díaz; José Ranilla (IDA, 2005)

Scoring and Selecting Terms for Text Categorization. - Elena Montañés; Irene Díaz; José Ranilla; Elías F. Combarro; Javier Fernández 002 (IEEE Intell. Syst., 2005)

Introducing a Family of Linear Measures for Feature Selection in Text Categorization. - Elías F. Combarro; Elena Montañés; Irene Díaz; José Ranilla; Ricardo Mones (IEEE Trans. Knowl. Data Eng., 2005)

Angular measures for feature selection in text categorization. - Elías F. Combarro; Elena Montañés; José Ranilla; Irene Díaz (SAC, 2006)

Finding optimal linear measures for feature selection in text categorization. - Elena Montañés; Elías F. Combarro; José Ranilla; Irene Díaz (SAC, 2006)

A Hybrid Feature Selection Method for Text Categorization. - Elena Montañés; José Ramón Quevedo; Elías F. Combarro; Irene Díaz; José Ranilla (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2007)

Using Laplace and angular measures for Feature Selection in Text Categorisation. - Elena Montañés; Pedro Alonso 002; Elías F. Combarro; Irene Díaz; Raquel Cortina; José Ranilla (Int. J. Adv. Intell. Paradigms, 2008)

Obtaining weights of a rubric through a pairwise learning model when the assessment process involves more than one lecturer. - José Ramón Quevedo; Elena Montañés (EDM, 2009)

Collaborative Tag Recommendation System based on Logistic Regression. - Elena Montañés; José Ramón Quevedo; Irene Díaz; José Ranilla (DC@PKDD/ECML, 2009)

Set Cover Feature Selection for Text Categorisation and spam detection. - Elías F. Combarro; José Ranilla; Manuel Roberto Berdasco; Elena Montañés; Irene Díaz (Int. J. Adv. Intell. Paradigms, 2009)

Ranked Tag Recommendation Systems Based on Logistic Regression. - José Ramón Quevedo; Elena Montañés; José Ranilla; Irene Díaz (HAIS (1), 2010)

Adapting Decision DAGs for Multipartite Ranking. - José Ramón Quevedo; Elena Montañés; Oscar Luaces; Juan José del Coz (ECML/PKDD (3), 2010)

Aggregating Independent and Dependent Models to Learn Multi-label Classifiers. - Elena Montañés; José Ramón Quevedo; Juan José del Coz (ECML/PKDD (2), 2011)

A framework for diagnosis of urinary incontinence disease based on scoring measures and automatic classifiers. - Irene Díaz; Elena Montañés; José Ranilla; Monserrat Espuña-Pons (Comput. Biol. Medicine, 2011)

A greedy algorithm for dimensionality reduction in polynomial regression to forecast the performance of a power plant condenser. - Elena Montañés; José Ramón Quevedo; Maria M. Prieto (Intell. Data Anal., 2011)

TagRanker: learning to recommend ranked tags. - Elena Montañés; José Ramón Quevedo; Irene Díaz; Raquel Cortina; Pedro Alonso 001; José Ranilla (Log. J. IGPL, 2011)

An improved feature reduction approach based on redundancy techniques for predicting female urinary incontinence. - Irene Díaz; Elena Montañés; Elías F. Combarro; Monserrat Espuña-Pons (Int. J. Comput. Math., 2011)

A SVM-based regression model to study the air quality at local scale in Oviedo urban area (Northern Spain): A case study. - P. J. García Nieto; Elías F. Combarro; J. J. del Coz Díaz; Elena Montañés (Appl. Math. Comput., 2013)

Enhancing directed binary trees for multi-class classification. - Elena Montañés; José Barranquero; Jorge Díez 001; Juan José del Coz (Inf. Sci., 2013)

Feature selection for classification of animal feed ingredients from near infrared microscopy spectra. - José Antonio Sánchez del Rivero; Elena Montañés-Roces; Begoña de la Roza-Delgado; Ana Soldado; Oscar Luaces; José Ramón Quevedo; Antonio Bahamonde (Inf. Sci., 2013)

Ordinal classification/regression for analyzing the influence of superstars on spectators in cinema marketing. - Elena Montañés; Ana Suárez-Vázquez; José Ramón Quevedo (Expert Syst. Appl., 2014)

Dependent binary relevance models for multi-label classification. - Elena Montañés; Robin Senge; José Barranquero; José Ramón Quevedo; Juan José del Coz; Eyke Hüllermeier (Pattern Recognit., 2014)

Using A* for Inference in Probabilistic Classifier Chains. - Deiner Mena; Elena Montañés; José Ramón Quevedo; Juan José del Coz (IJCAI, 2015)

An overview of inference methods in probabilistic classifier chains for multilabel classification. - Deiner Mena; Elena Montañés; José Ramón Quevedo; Juan José del Coz (WIREs Data Mining Knowl. Discov., 2016)

A heuristic in A* for inference in nonlinear Probabilistic Classifier Chains. - Deiner Mena; José Ramón Quevedo; Elena Montañés; Juan José del Coz (Knowl. Based Syst., 2017)

A family of admissible heuristics for A* to perform inference in probabilistic classifier chains. - Deiner Mena; Elena Montañés; José Ramón Quevedo; Juan José del Coz (Mach. Learn., 2017)

Improving the ε-approximate algorithm for Probabilistic Classifier Chains. - Miriam Fdez-Díaz; Laura Fdez-Díaz; Deiner Mena; Elena Montañés; José Ramón Quevedo; Juan José del Coz (Knowl. Inf. Syst., 2020)

Capturing waste collection planning expert knowledge in a fitness function through preference learning. - Laura Fdez-Díaz; Miriam Fdez-Díaz; José Ramón Quevedo; Elena Montañés (Eng. Appl. Artif. Intell., 2021)

Improving importance estimation in covariate shift for providing accurate prediction error. - Laura Fdez-Díaz; Sara Glez-Tomillo; Elena Montañés; José Ramón Quevedo (Expert Syst. Appl., 2022)

Target inductive methods for zero-shot regression. - Miriam Fdez-Díaz; José Ramón Quevedo; Elena Montañés (Inf. Sci., 2022)

Regularized boosting with an increasing coefficient magnitude stop criterion as meta-learner in hyperparameter optimization stacking ensemble. - Laura Fdez-Díaz; José Ramón Quevedo; Elena Montañés (Neurocomputing, 2023)

Direct side information learning for zero-shot regression. - Miriam Fdez-Díaz; Elena Montañés; José Ramón Quevedo (Neurocomputing, 2023)