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]

@inproceedings{PavonLRF11,
  title = {Assessing the Impact of Class-Imbalanced Data for Classifying Relevant/Irrelevant Medline Documents},
  author = {Reyes Pavón and Rosalia Laza and Miguel Reboiro-Jato and Florentino Fdez-Riverola},
  year = {2011},
  doi = {10.1007/978-3-642-19914-1_45},
  url = {http://dx.doi.org/10.1007/978-3-642-19914-1_45},
  researchr = {https://researchr.org/publication/PavonLRF11},
  cites = {0},
  citedby = {0},
  pages = {345-353},
  booktitle = {5th International Conference on Practical Applications of Computational Biology & Bioinformatics, PACBB 2011, April 6-8, 2011, Salamanca, Spain},
  editor = {Miguel P. Rocha and Juan M. Corchado Rodríguez and Florentino Fdez-Riverola and Alfonso Valencia},
  volume = {93},
  series = {Advances in Intelligent and Soft Computing},
  publisher = {Springer},
  isbn = {978-3-642-19913-4},
}