IEEE

A Clustering-Based Oversampling Approach for Class Imbalance in Mixed Data

Abstract: Class imbalance is a recurring problem in machine learning, especially in domains like SME's, healthcare, finance, and fraud detection, where rare but important events are often ...
IEEE

Robust Federated Learning Client Selection With Combinatorial Class Representations and Data Augmentation

Abstract: The federated learning (FL) client selection scheme can effectively mitigate global model performance degradation caused by the random aggregation of clients with heterogeneous data.
Dot Physics on MSN

Creating animated graphs using VPython Glowscript for visualizations

Explore the power of interactive physics visualizations with animated graphs using VPython and GlowScript for dynamic simulations! This guide demonstrates how to create real-time animated graphs that ...