MACHINE LEARNING GROUP
MLGroup
JOSE
RANILLA PASTOR
Catedrático de Universidad
Publicacions en què col·labora amb JOSE RANILLA PASTOR (37)
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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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
Neural Network World, Vol. 20, Núm. 7, pp. 963-977
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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)
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
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Polynomian measures for dimensionality reduction in text categorization
Actas del IV Taller de Minería de Datos y Aprendizaje: [TAMIDA 2007]
2006
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Angular measures for feature selection in text categorization
Proceedings of the ACM Symposium on Applied Computing
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Finding optimal linear measures for feature selection in text categorization
Proceedings of the ACM Symposium on Applied Computing
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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