Assessing the Impact of Class-Imbalanced Data for Classifying Relevant/Irrelevant Medline Documents

Reyes Pavón, Rosalia Laza, Miguel Reboiro-Jato, Florentino Fdez-Riverola. Assessing the Impact of Class-Imbalanced Data for Classifying Relevant/Irrelevant Medline Documents. In Miguel P. Rocha, Juan M. Corchado Rodríguez, Florentino Fdez-Riverola, Alfonso Valencia, editors, 5th International Conference on Practical Applications of Computational Biology & Bioinformatics, PACBB 2011, April 6-8, 2011, Salamanca, Spain. Volume 93 of Advances in Intelligent and Soft Computing, pages 345-353, Springer, 2011. [doi]

Authors

Reyes Pavón

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Rosalia Laza

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Miguel Reboiro-Jato

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Florentino Fdez-Riverola

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