Elena Montañés

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 14

Top Topics

Waste Collection

Preference Learning

Ordinal Classification

Admissible Heuristics

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)
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)
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)
P. J. García Nieto, Elías F. Combarro, J. J. del Coz Díaz, Elena Montañés
A SVM-based regression model to study the air quality at local scale in Oviedo urban area (Northern Spain): A case study. Appl. Math. Comput. 219 (17) (2013)
Elena Montañés, José Barranquero, Jorge Díez, Juan José del Coz
Enhancing directed binary trees for multi-class classification. Inf. Sci. 223 (2013)
Irene Díaz, Elena Montañés, José Ranilla, Monserrat Espuña-Pons
A framework for diagnosis of urinary incontinence disease based on scoring measures and automatic classifiers. Comput. Biol. Medicine 41 (1) (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)
Irene Díaz, Elena Montañés, Elías F. Combarro, Monserrat Espuña-Pons
An improved feature reduction approach based on redundancy techniques for predicting female urinary incontinence. Int. J. Comput. Math. 88 (9) (2011)
José Ramón Quevedo, Elena Montañés, José Ranilla, Irene Díaz
Ranked Tag Recommendation Systems Based on Logistic Regression. HAIS (1) (2010)
José Ramón Quevedo, Elena Montañés, Oscar Luaces, Juan José del Coz
Adapting Decision DAGs for Multipartite Ranking. ECML/PKDD (3) (2010)
Elías F. Combarro, José Ranilla, Manuel Roberto Berdasco, Elena Montañés, Irene Díaz
Set Cover Feature Selection for Text Categorisation and spam detection. Int. J. Adv. Intell. Paradigms 1 (4) (2009)
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)
Elena Montañés, Pedro Alonso, Elías F. Combarro, Irene Díaz, Raquel Cortina, José Ranilla
Using Laplace and angular measures for Feature Selection in Text Categorisation. Int. J. Adv. Intell. Paradigms 1 (1) (2008)
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)
Elena Montañés, Elías F. Combarro, José Ranilla, Irene Díaz
Finding optimal linear measures for feature selection in text categorization. SAC (2006)
Elías F. Combarro, Elena Montañés, José Ranilla, Irene Díaz
Angular measures for feature selection in text categorization. SAC (2006)
Elías F. Combarro, Elena Montañés, Irene Díaz, José Ranilla, Ricardo Mones
Introducing a Family of Linear Measures for Feature Selection in Text Categorization. IEEE Trans. Knowl. Data Eng. 17 (9) (2005)
Elena Montañés, Elías F. Combarro, Irene Díaz, José Ranilla
Towards Automatic and Optimal Filtering Levels for Feature Selection in Text Categorization. IDA (2005)
Elena Montañés, Irene Díaz, José Ranilla, Elías F. Combarro, Javier Fernández
Scoring and Selecting Terms for Text Categorization. IEEE Intell. Syst. 20 (3) (2005)
Elías F. Combarro, José Ranilla, Ricardo Mones, N. Vázquez, Irene Díaz, Elena Montañés
Unsupervised Learning in Information Retrieval Using NOW Architectures. EUROCAST (2005)
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)
Irene Díaz, José Ranilla, Elena Montañés, Javier Fernández, Elías F. Combarro
Improving performance of text categorization by combining filtering and supportvector machines. J. Assoc. Inf. Sci. Technol. 55 (7) (2004)
Javier Fernández, Elena Montañés, Irene Díaz, José Ranilla, Elías F. Combarro
Text Categorization by a Machine-Learning-Based Term Selection. DEXA (2004)
Javier Fernández, Elena Montañés, Irene Díaz, José Ranilla, Elías F. Combarro
Extraction of Document Descriptive Terms with a Linguistic-Based Machine Learning Approach. International Conference on Computational Science (2004)
Elena Montañés, José Ramón Quevedo, Irene Díaz
A Wrapper Approach with Support Vector Machines for Text Categorization. IWANN (1) (2003)
Elías F. Combarro, Elena Montañés, José Ranilla, Javier Fernández
A Comparison of the Performance of SVM and ARNI on Text Categorization with New Filtering Measures on an Unbalanced Collection. IWANN (2) (2003)
Elena Montañés, Javier Fernández, Irene Díaz, Elías F. Combarro, José Ranilla
Measures of Rule Quality for Feature Selection in Text Categorization. IDA (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)
José Ramón Quevedo Pérez, María Dolores García, Elena Montañés
Filtering Noisy Continuous Labeled Examples. IBERAMIA (2002)