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Imbalanced distributions are ubiquitous in real-world data. They create constraints on Deep Neural Networks to represent the minority labels and avoid bias towards majority labels. The extensive body of imbalanced approaches address categorical label
Externí odkaz:
http://arxiv.org/abs/2309.06651
Publikováno v:
In Microprocessors and Microsystems July 2017 52:69-79
Autor:
Keramati, Marjan, Keramati, Mahsa
Publikováno v:
7'th International Symposium on Telecommunications (IST'2014); 2014, p883-888, 6p
Publikováno v:
2013 3nd International eConference on Computer & Knowledge Engineering (ICCKE); 2013, p178-183, 6p
Publikováno v:
7'th International Symposium on Telecommunications (IST'2014); 2014, p1-25, 25p
Autor:
Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas
The multi-volume set LNAI 13713 until 13718 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2022, which took place in Grenoble, France, in September 2022.The 236 full