Learning from Imbalanced Data

2009/09/01 by Haibo He, E.A. Garcia · 10 citations

paper · doi:10.1109/tkde.2008.239

Cited by

• Morpheus: Lightweight RTT Prediction for Performance-Aware Load Balancing
• Enhancing Urban Data Exploration: Layer Toggling and Visibility-Preserving Lenses for Multi-Attribute Spatial Analysis
• EDRS: Extremity-density representative selection for semi-supervised learning on imbalanced data
• Prevalence- and algorithm-dependent effects of resampling on prediction and interpretation in ecological niche models
• Learning Majority-to-Minority Transformations with MMD and Triplet Loss for Imbalanced Classification
• CrunchLLM: Multitask LLMs for Structured Business Reasoning and Outcome Prediction
• Regression Augmentation With Data-Driven Segmentation
• IoT-Driven Destination Prediction in Smart Urban Mobility: A Comparative Study of Markov Chains and Hidden Markov Models
• A new machine learning framework for occupational accidents forecasting with safety inspections integration
• Pixel-wise Modulated Dice Loss for Medical Image Segmentation