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"

9 / 9 papers shown

Title
OWAdapt: An adaptive loss function for deep learning using OWA operators Sebastián Maldonado Carla Vairetti Katherine Jara Miguel Carrasco Julio López 19 10 0 30 May 2023
Towards A Holistic View of Bias in Machine Learning: Bridging Algorithmic Fairness and Imbalanced Learning Damien Dablain Bartosz Krawczyk Nitesh Chawla FaML 28 20 0 13 Jul 2022
Handling Imbalanced Classification Problems With Support Vector Machines via Evolutionary Bilevel Optimization Alejandro Rosales-Pérez S. García Francisco Herrera 24 15 0 21 Apr 2022
Under-bagging Nearest Neighbors for Imbalanced Classification H. Hang Yuchao Cai Hanfang Yang Zhouchen Lin 43 12 0 01 Sep 2021
DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data Damien Dablain Bartosz Krawczyk Nitesh Chawla 29 263 0 05 May 2021
RA-GCN: Graph Convolutional Network for Disease Prediction Problems with Imbalanced Data Mahsa Ghorbani Anees Kazi M. Baghshah Hamid R. Rabiee Nassir Navab 27 72 0 27 Feb 2021
Neuroevolution in Deep Neural Networks: Current Trends and Future Challenges E. Galván P. Mooney 34 129 0 09 Jun 2020
Methods for Stabilizing Models across Large Samples of Projects (with case studies on Predicting Defect and Project Health) Suvodeep Majumder Tianpei Xia R. Krishna Tim Menzies 11 3 0 06 Nov 2019
Generative Adversarial Networks for Failure Prediction Shuai Zheng Ahmed K. Farahat Susumu Serita AI4CE 22 17 0 04 Oct 2019