A Cost-Sensitive Deep Belief Network for Imbalanced Classification

A Cost-Sensitive Deep Belief Network for Imbalanced Classification

28 April 2018

Kay Chen Tan

Haizhou Li

Papers citing "A Cost-Sensitive Deep Belief Network for Imbalanced Classification"

5 / 5 papers shown

Title
Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine Learning G. Lemaître Fernando Nogueira Christos K. Aridas 45 2,052 0 21 Sep 2016
Cost Sensitive Learning of Deep Feature Representations from Imbalanced Data Salman H. Khan Munawar Hayat Bennamoun Ferdous Sohel R. Togneri 47 878 0 14 Aug 2015
Evolutionary Cost-sensitive Extreme Learning Machine Lei Zhang David C. Zhang 19 144 0 17 May 2015
Online Ensemble Learning for Imbalanced Data Streams Boyu Wang Joelle Pineau FedML 48 142 0 30 Oct 2013
SMOTE: Synthetic Minority Over-sampling Technique Nitesh Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 252 25,443 0 09 Jun 2011