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Crypto Machine Learning Algorithms Explained for Beginners

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
IEEE

Self-Supervised Learning for Multimodal Fault Diagnosis With Shapley-Value Weighted Transformers

Abstract: In recent years, there has been extensive exploration of intelligent fault diagnosis (IFD) methodologies. Nevertheless, there has been a paucity of prior research addressing the integration ...
IEEE

Distribution Learning Based on Evolutionary Algorithm-Assisted Deep Neural Networks for Imbalanced Image Classification

Abstract: Imbalanced image classification faces critical challenges in balancing the quality and diversity of synthetic minority samples. This article proposes the improved estimation distribution ...