Elena Montañés

According to our database1, Elena Montañés authored at least 36 papers between 2002 and 2017.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2017
A family of admissible heuristics for A* to perform inference in probabilistic classifier chains.
Machine Learning, 2017

A heuristic in A* for inference in nonlinear Probabilistic Classifier Chains.
Knowl.-Based Syst., 2017

2016
An overview of inference methods in probabilistic classifier chains for multilabel classification.
Wiley Interdiscip. Rev. Data Min. Knowl. Discov., 2016

2015
Using A* for Inference in Probabilistic Classifier Chains.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2014
Dependent binary relevance models for multi-label classification.
Pattern Recognition, 2014

Ordinal classification/regression for analyzing the influence of superstars on spectators in cinema marketing.
Expert Syst. Appl., 2014

2013
Feature selection for classification of animal feed ingredients from near infrared microscopy spectra.
Inf. Sci., 2013

Enhancing directed binary trees for multi-class classification.
Inf. Sci., 2013

A SVM-based regression model to study the air quality at local scale in Oviedo urban area (Northern Spain): A case study.
Applied Mathematics and Computation, 2013

2011
An improved feature reduction approach based on redundancy techniques for predicting female urinary incontinence.
Int. J. Comput. Math., 2011

TagRanker: learning to recommend ranked tags.
Logic Journal of the IGPL, 2011

A greedy algorithm for dimensionality reduction in polynomial regression to forecast the performance of a power plant condenser.
Intell. Data Anal., 2011

A framework for diagnosis of urinary incontinence disease based on scoring measures and automatic classifiers.
Comp. in Bio. and Med., 2011

Aggregating Independent and Dependent Models to Learn Multi-label Classifiers.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

2010
Adapting Decision DAGs for Multipartite Ranking.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Ranked Tag Recommendation Systems Based on Logistic Regression.
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

2009
Set Cover Feature Selection for Text Categorisation and spam detection.
IJAIP, 2009

Collaborative Tag Recommendation System based on Logistic Regression.
Proceedings of ECML PKDD (The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases) Discovery Challenge 2009, 2009

Obtaining weights of a rubric through a pairwise learning model when the assessment process involves more than one lecturer.
Proceedings of the Educational Data Mining, 2009

2008
Using Laplace and angular measures for Feature Selection in Text Categorisation.
IJAIP, 2008

2007
A Hybrid Feature Selection Method for Text Categorization.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2007

2006
Finding optimal linear measures for feature selection in text categorization.
Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), 2006

Angular measures for feature selection in text categorization.
Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), 2006

2005
Introducing a Family of Linear Measures for Feature Selection in Text Categorization.
IEEE Trans. Knowl. Data Eng., 2005

Scoring and Selecting Terms for Text Categorization.
IEEE Intelligent Systems, 2005

Towards Automatic and Optimal Filtering Levels for Feature Selection in Text Categorization.
Proceedings of the Advances in Intelligent Data Analysis VI, 2005

Unsupervised Learning in Information Retrieval Using NOW Architectures.
Proceedings of the Computer Aided Systems Theory, 2005

2004
Improving performance of text categorization by combining filtering and supportvector machines.
JASIST, 2004

Words as Rules: Feature Selection in Text Categorization.
Proceedings of the Computational Science, 2004

Extraction of Document Descriptive Terms with a Linguistic-Based Machine Learning Approach.
Proceedings of the Computational Science, 2004

Text Categorization by a Machine-Learning-Based Term Selection.
Proceedings of the Database and Expert Systems Applications, 15th International Conference, 2004

2003
A Wrapper Approach with Support Vector Machines for Text Categorization.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

A Comparison of the Performance of SVM and ARNI on Text Categorization with New Filtering Measures on an Unbalanced Collection.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

Measures of Rule Quality for Feature Selection in Text Categorization.
Proceedings of the Advances in Intelligent Data Analysis V, 2003

2002
Filtering Noisy Continuous Labeled Examples.
Proceedings of the Advances in Artificial Intelligence, 2002

Forecasting Time Series Combining Machine Learning and Box-Jenkins Time Series.
Proceedings of the Advances in Artificial Intelligence, 2002


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