This package provides an unofficial collection of datasets widely used in the evaluation of machine learning techniques, mainly small and imbalanced datasets for binary, multiclass classification and ...

In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

Artificial intelligence startup OpenEvidence banked a $210 million series B round as it looks to expand its strategic content ...

Are Machine Learning Classifiers Robust Enough Against Poisoned Datasets? Abstract: Machine learning (ML) classifiers are widely used in many real-world applications for classification, prediction, ...

Machine learning (ML) has emerged as a highly efficient approach for designing cyber-attack detection systems to improve the security. This study reviewed recent advancements in the literature ...