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ORCIDElena Montañés
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2020 – today
- 2024
[i5]Miriam Fdez-Díaz, José Ramón Quevedo, Elena Montañés:
Target inductive methods for zero-shot regression. CoRR abs/2402.01252 (2024)- [i4]Miriam Fdez-Díaz, Elena Montañés, José Ramón Quevedo:
Direct side information learning for zero-shot regression. CoRR abs/2402.01264 (2024) - [i3]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 abs/2402.01379 (2024) - [i2]Laura Fdez-Díaz, Sara González Tomillo, Elena Montañés, José Ramón Quevedo:
Improving importance estimation in covariate shift for providing accurate prediction error. CoRR abs/2402.01450 (2024) - [i1]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 abs/2402.01849 (2024) - 2023
- [j24]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: 126516 (2023) - [j23]Miriam Fdez-Díaz
, Elena Montañés, José Ramón Quevedo:
Direct side information learning for zero-shot regression. Neurocomputing 561: 126873 (2023) - 2022
- [j22]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: 116376 (2022) - [j21]Miriam Fdez-Díaz, José Ramón Quevedo, Elena Montañés:
Target inductive methods for zero-shot regression. Inf. Sci. 599: 44-63 (2022) - 2021
- [j20]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: 104113 (2021) - 2020
- [j19]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): 2709-2738 (2020)
2010 – 2019
- 2017
- [j18]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: 78-90 (2017) - [j17]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): 143-169 (2017) - 2016
- [j16]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): 215-230 (2016) - 2015
- [c18]Deiner Mena, Elena Montañés, José Ramón Quevedo, Juan José del Coz:
Using A* for Inference in Probabilistic Classifier Chains. IJCAI 2015: 3707-3713 - 2014
- [j15]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): 8101-8111 (2014) - [j14]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): 1494-1508 (2014) - 2013
- [j13]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): 8923-8937 (2013) - [j12]Elena Montañés, José Barranquero, Jorge Díez, Juan José del Coz:
Enhancing directed binary trees for multi-class classification. Inf. Sci. 223: 42-55 (2013) - [j11]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: 58-69 (2013) - 2011
- [j10]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): 11-17 (2011) - [j9]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): 733-748 (2011) - [j8]Elena Montañés, José Ramón Quevedo, Irene Díaz, Raquel Cortina, Pedro Alonso, José Ranilla:
TagRanker: learning to recommend ranked tags. Log. J. IGPL 19(2): 395-404 (2011) - [j7]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): 1852-1859 (2011) - [c17]Elena Montañés, José Ramón Quevedo, Juan José del Coz:
Aggregating Independent and Dependent Models to Learn Multi-label Classifiers. ECML/PKDD (2) 2011: 484-500 - 2010
- [c16]José Ramón Quevedo, Elena Montañés, José Ranilla, Irene Díaz:
Ranked Tag Recommendation Systems Based on Logistic Regression. HAIS (1) 2010: 237-244 - [c15]José Ramón Quevedo, Elena Montañés, Oscar Luaces, Juan José del Coz:
Adapting Decision DAGs for Multipartite Ranking. ECML/PKDD (3) 2010: 115-130
2000 – 2009
- 2009
- [j6]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): 444-462 (2009) - [c14]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: 289-298 - [c13]Elena Montañés, José Ramón Quevedo, Irene Díaz, José Ranilla:
Collaborative Tag Recommendation System based on Logistic Regression. DC@PKDD/ECML 2009 - 2008
- [j5]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): 40-59 (2008) - 2007
- [j4]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): 133-151 (2007) - 2006
- [c12]Elías F. Combarro, Elena Montañés, José Ranilla, Irene Díaz:
Angular measures for feature selection in text categorization. SAC 2006: 826-830 - [c11]Elena Montañés, Elías F. Combarro, José Ranilla, Irene Díaz:
Finding optimal linear measures for feature selection in text categorization. SAC 2006: 861-862 - 2005
- [j3]Elena Montañés, Irene Díaz, José Ranilla, Elías F. Combarro, Javier Fernández:
Scoring and Selecting Terms for Text Categorization. IEEE Intell. Syst. 20(3): 40-47 (2005) - [j2]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): 1223-1232 (2005) - [c10]Elías F. Combarro, José Ranilla, Ricardo Mones, N. Vázquez, Irene Díaz, Elena Montañés:
Unsupervised Learning in Information Retrieval Using NOW Architectures. EUROCAST 2005: 179-188 - [c9]Elena Montañés, Elías F. Combarro, Irene Díaz, José Ranilla:
Towards Automatic and Optimal Filtering Levels for Feature Selection in Text Categorization. IDA 2005: 239-248 - 2004
- [j1]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): 579-592 (2004) - [c8]Javier Fernández, Elena Montañés, Irene Díaz, José Ranilla, Elías F. Combarro:
Text Categorization by a Machine-Learning-Based Term Selection. DEXA 2004: 253-262 - [c7]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: 658-661 - [c6]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: 666-669 - 2003
- [c5]Elena Montañés, Javier Fernández, Irene Díaz, Elías F. Combarro, José Ranilla:
Measures of Rule Quality for Feature Selection in Text Categorization. IDA 2003: 589-598 - [c4]Elena Montañés, José Ramón Quevedo, Irene Díaz:
A Wrapper Approach with Support Vector Machines for Text Categorization. IWANN (1) 2003: 230-237 - [c3]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: 742-749 - 2002
- [c2]José Ramón Quevedo Pérez, María Dolores García, Elena Montañés:
Filtering Noisy Continuous Labeled Examples. IBERAMIA 2002: 50-59 - [c1]Elena Montañés, José Ramón Quevedo, Maria M. Prieto, César O. Menéndez:
Forecasting Time Series Combining Machine Learning and Box-Jenkins Time Series. IBERAMIA 2002: 491-499
Coauthor Index
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last updated on 2024-08-16 18:29 CEST by the dblp team
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