The need for eXplainable Artificial Intelligence (XAI) in healthcare is more critical than ever, especially as regulatory frameworks such as the European Union Artificial Intelligence (EU AI) Act ...
Abstract: Class imbalance poses a critical challenge in binary classification problems, particularly when rare but significant events are underrepresented in the training set. While traditional ...
🔍 Automatically identifying and analyzing events from social media platforms (Twitter, Facebook, etc.) 🌎 Covering diverse event types from natural disasters to viral phenomena 🤖 Leveraging AI to ...
Official Pytorch implementation of ICML 2022 paper "TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification" This work investigates the phenomenon that imbalance handling algorithms ...
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