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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

Semi-Supervised Privacy-Preserving EEG-Based Motor Imagery Classification via Self and Adversarial Training

Abstract: Electroencephalogram (EEG)-based motor imagery (MI) signals are frequently used in brain-computer interfaces (BCIs) due to their wide applications in the rehabilitation field. However, cross ...
IEEE

Classification Using Combined Linear and Non-Linear Technique

Abstract: For supervised classification, collection of large number of training samples is tedious and time consuming. Satellite data covering large area contains high diversity in land cover classes ...
Scientific Research Publishing

Kipf, T. and Welling, M. (2016) Semi-Supervised Classification with Graph Convolutional Networks. arXiv: 1609.02907.

ABSTRACT: Foot-and-Mouth Disease (FMD) remains a critical threat to global livestock industries, causing severe economic losses and trade restrictions. This paper proposes a novel application of ...
Frontiers

Which pronator are you? New perspectives from an unsupervised clustering approach in running

Introduction: Excessive pronation is still considered as a factor partially involved in the running-related injury risk despite inconsistent evidence. The between-runner variability and the way ...