1,463
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Learning from imbalanced data: open challenges and future directions

      Progress in Artificial Intelligence
      Springer Nature

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Related collections

          Most cited references56

          • Record: found
          • Abstract: not found
          • Article: not found

          A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            CLASSIFICATION OF IMBALANCED DATA: A REVIEW

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              A survey of multiple classifier systems as hybrid systems

                Bookmark

                Author and article information

                Journal
                Progress in Artificial Intelligence
                Prog Artif Intell
                Springer Nature
                2192-6352
                2192-6360
                November 2016
                April 22 2016
                : 5
                : 4
                : 221-232
                Article
                10.1007/s13748-016-0094-0
                66e18bc1-6db8-4752-9f4d-49708fe7d116
                © 2016

                http://creativecommons.org/licenses/by/4.0

                History

                Comments

                Comment on this article