Get started
Keyword

imbalanced learning

Description: Imbalanced learning is a machine-learning approach for training models on datasets where classes are represented by substantially different numbers of examples.
Wikidata ID: wiki/Q117879902
OpenAlex ID: keywords/imbalanced-learning
Learning from Imbalanced Data
2009 · Haibo He, E.A. Garcia · IEEE Transactions on Knowledge and Data Engineering · 10,279
ADASYN: Adaptive synthetic sampling approach for imbalanced learning
2008 · Haibo He, Yang Bai, et al. · IEEE International Joint Conference on Neural Networks (IJCNN) · 4,928
Learning from imbalanced data: open challenges and future directions
2016 · Bartosz Krawczyk · Progress in Artificial Intelligence · 2,449
PDF
Learning from class-imbalanced data: Review of methods and applications
2016 · Guo Haixiang, Li Yijing, et al. · Expert Systems with Applications · 2,380
Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine Learning
2016 · Lemaitre, Guillaume, Nogueira, Fernando, et al. · arXiv (Cornell University) · 1,877
PDF
Improving imbalanced learning through a heuristic oversampling method based on k-means and SMOTE
2018 · Georgios Douzas, Fernando Bacao, et al. · Information Sciences · 1,273
PDF
MWMOTE--Majority Weighted Minority Oversampling Technique for Imbalanced Data Set Learning
2012 · Sukarna Barua, Md. Monirul Islam, et al. · IEEE Transactions on Knowledge and Data Engineering · 1,153
Handling imbalanced datasets: A review
2006 · Sotiris Kotsiantis, Dimitris Kanellopoulos, et al. · 921
Small data machine learning in materials science
2023 · Pengcheng Xu, Xiaobo Ji, et al. · npj Computational Materials · 876
PDF
Imbalanced Learning
2013 · He, Haibo, Ma, Yunqian · Wiley eBooks · 833
Effective data generation for imbalanced learning using conditional generative adversarial networks
2017 · Georgios Douzas, Fernando Bacao · Expert Systems with Applications · 601
Imbalance Problems in Object Detection: A Review
2020 · Kemal Oksuz, Baris Can Cam, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 600
PDF
Strategies for learning in class imbalance problems
2003 · R Barandela, J.S Sánchez, et al. · Pattern Recognition · 579
IP102: A Large-Scale Benchmark Dataset for Insect Pest Recognition
2019 · Xiaoping Wu, Chi Zhan, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 544
ROSE: a Package for Binary Imbalanced Learning
2014 · Nicola Lunardon, Giovanna Menardi, et al. · The R Journal · 533
PDF
A survey on imbalanced learning: latest research, applications and future directions
2024 · Wuxing Chen, Kaixiang Yang, et al. · Artificial Intelligence Review · 512
Pick and Choose: A GNN-based Imbalanced Learning Approach for Fraud Detection
2021 · Yang Liu, Xiang Ao, et al. · 466
PDF
A theoretical distribution analysis of synthetic minority oversampling technique (SMOTE) for imbalanced learning
2023 · Dina Elreedy, Amir F. Atiya, et al. · Machine Learning · 392
PDF
Artificial intelligence techniques for stability analysis and control in smart grids: Methodologies, applications, challenges and future directions
2020 · Zhongtuo Shi, Wei Yao, et al. · Applied Energy · 326
A Comprehensive Investigation of the Role of Imbalanced Learning for Software Defect Prediction
2018 · Qinbao Song, Yuchen Guo, et al. · IEEE Transactions on Software Engineering · 294
PDF
Addressing imbalance in multilabel classification: Measures and random resampling algorithms
2015 · Francisco Charte, Antonio J. Rivera, et al. · Neurocomputing · 288
A broad review on class imbalance learning techniques
2023 · Salim Rezvani, Xizhao Wang · Applied Soft Computing · 284
Handling imbalanced medical datasets: review of a decade of research
2024 · Mabrouka Salmi, Dalia Atif, et al. · Artificial Intelligence Review · 275
Mapping Landslides on EO Data: Performance of Deep Learning Models vs. Traditional Machine Learning Models
2020 · Nikhil Prakash, Andrea Manconi, et al. · Remote Sensing · 234
PDF
A Systematic Review on Imbalanced Learning Methods in Intelligent Fault Diagnosis
2023 · Zhijun Ren, Tantao Lin, et al. · IEEE Transactions on Instrumentation and Measurement · 209
Works count: 894
Citation count: 44,410
Year
Topic
Type