@inproceedings{502,
  author = {Alberto Fernández and Maria José del Jesus Díaz and Francisco Herrera Triguero},
  editor = {Konrad Jackowski and Robert Burduk and Krzysztof Walkowiak and Michał Woźniak and Hujun Yin},
  title = {Addressing Overlapping in Classification with Imbalanced Datasets: A First Multi-objective Approach for Feature and Instance Selection},
  abstract = {In classification tasks with imbalanced datasets the distribution of examples between the classes is uneven. However, it is not the imbalance itself which hinders the performance, but there are other related intrinsic data characteristics which have a significance in the final accuracy. Among all, the overlapping between the classes is possibly the most significant one for a correct discrimination between the classes.},
  year = {2015},
  pages = {36-44},
  publisher = {Springer International Publishing},
  address = {Cham},
  isbn = {978-3-319-24834-9},
}