MACHINE LEARNING GROUP
MLGroup
SUSANA IRENE
DIAZ RODRIGUEZ
Catedrática de Universidad
Publicacions en què col·labora amb SUSANA IRENE DIAZ RODRIGUEZ (20)
2011
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A framework for diagnosis of urinary incontinence disease based on scoring measures and automatic classifiers
Computers in Biology and Medicine, Vol. 41, Núm. 1, pp. 11-17
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An improved feature reduction approach based on redundancy techniques for predicting female urinary incontinence
International Journal of Computer Mathematics
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TagRanker: Learning to recommend ranked tags
Logic Journal of the IGPL, Vol. 19, Núm. 2, pp. 395-404
2010
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Ranked tag recommendation systems based on logistic regression
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Ranked tag recommendation systems based on logistic regression
Neural Network World, Vol. 20, Núm. 7, pp. 963-977
2009
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Collaborative tag recommendation system based on logistic regression
CEUR Workshop Proceedings
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Set Cover Feature Selection for Text Categorisation and spam detection
International Journal of Advanced Intelligence Paradigms, Vol. 1, Núm. 4, pp. 444-462
2008
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Using Laplace and angular measures for Feature Selection in Text Categorisation
International Journal of Advanced Intelligence Paradigms, Vol. 1, Núm. 1, pp. 40-59
2007
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A hybrid feature selection method for text categorization
International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems, Vol. 15, Núm. 2, pp. 133-151
2006
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NoW architectures, dimensionality reduction and self-organizing maps for information retrieval
Recent progress in computational sciences and engineering, vols 7A and 7B
2005
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Introducing a family of linear measures for feature selection in text categorization
IEEE Transactions on Knowledge and Data Engineering, Vol. 17, Núm. 9, pp. 1223-1232
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Scoring and selecting terms for tract categorization
IEEE Intelligent Systems, Vol. 20, Núm. 3, pp. 40-47
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Towards automatic and optimal filtering levels for feature selection in Text Categorization
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Unsupervised learning in information retrieval using NOW architectures
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2004
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Extraction of document descriptive terms with a linguistic-based machine learning approach
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 3037, pp. 658-661
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Improving performance of text categorization by combining filtering and support vector machines
Journal of the American Society for Information Science and Technology, Vol. 55, Núm. 7, pp. 579-592
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Text categorization by a machine-learning-based term selection
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 3180, pp. 253-262
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Words as rules: Feature selection in text categorization
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 3036, pp. 666-669
2003
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A wrapper approach with Support Vector Machines for Text Categorization
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 2686, pp. 230-237
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Measures of rule quality for feature selection in text categorization
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 2810, pp. 589-598