[ICML'24] BAT: 🚀 Boost Class-imbalanced Node Classification with <10 lines of Code | 从拓扑视角改善类别不平衡节点分类
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Updated
Jun 4, 2024 - Python
[ICML'24] BAT: 🚀 Boost Class-imbalanced Node Classification with <10 lines of Code | 从拓扑视角改善类别不平衡节点分类
Applying various data engineering techniques into image classification task for KAIST DS801 term project
Companion code repository to Marcou et al. 2024, Creating a computer assisted ICD coding system: Performance metric choice and use of the ICD hierarchy
[Paper][SIGIR 2024] NativE: Multi-modal Knowledge Graph Completion in the Wild
This repository keeps my solution for Task 1 in the Introduction to Machine Learning course in Innopolis University. The key technics here are data preprocessing and training ANN on highly imbalanced dataset.
ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using Advanced Machine Learning (ML) methods. The supported algorithms in this application are Neural Networks, Random Forests & Ensembl Models.
[NeurIPS’20] ⚖️ Build powerful ensemble class-imbalanced learning models via meta-knowledge-powered resampler. | 设计元知识驱动的采样器解决类别不平衡问题
Code repository for the online course Machine Learning with Imbalanced Data
😎 Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切:论文、代码、框架与库
Evaluating ensemble performance in long-tailed datasets (Neurips 2023 Heavy Tails Workshop)
Balancing image datasets with transfer learning & hybrid sampling, our project boosts accuracy. We address class imbalance, achieving 95.2% testing accuracy. Next, we'll explore advanced techniques & deploy in healthcare & environmental monitoring.
[Paper][LREC-COLING 2024] Unleashing the Power of Imbalanced Modality Information for Multi-modal Knowledge Graph Completion
[2024 TNNLS] Source code of an online active learning strategy (DSA-AI)
[NeurIPS 2023] Variational Imbalanced Regression: Fair Uncertainty Quantification via Probabilistic Smoothing
A repository contains a collection of resources and papers on Imbalance Learning On Graphs
This project aims to use machine learning models on Kaggle data to predict corporate credit ratings to aid investment decisions.
Deep Imbalance Learning via Fuzzy Transition and Prototypical Learning (imFTP, Information Sciences 2024)
A collection of custom Tensorflow Keras objects mostly for hierarchical multilabel learning and recommender systems
Long-Tailed Visual Recognition via Self-Heterogeneous Integration with Knowledge Excavation (CVPR 2023)
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