An important problem in natural language processing is text emotion multi-label classification, which seeks to predict various emotions connected to a given text. This research suggests a unique ...

Synthetic cannabinoids, a class of new psychoactive substances, have emerged as a significant public health and social stability threat due to their structural diversity, rapid iteration, and stronger ...

The substantial increase in mental health disorders globally necessitates scalable, accurate tools for detecting and classifying these conditions in digital environments. This study addresses the ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Existing multi-label learning approaches mainly assume that all the class labels are observed for all the training examples, and utilize an identical data representation composed of all the features ...