Elena Montañés

46 papers A* 1B 3C 1Misc 4Journal 28Unranked 9

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