Algorithmic grading in class: What a study shows about extra student workload and privacy

As universities increasingly adopt digital tools and automated analytics systems, attention often centers on these tools' ...
IEEE

Adaptive Weighted Double Uncertainty Incrementally Active Learning for Multi-class Imbalanced Data

Abstract: Active learning can effectively reduce the cost of labeling while enhancing model classification performance. However, prior studies have indicated that imbalanced class distributions ...
IEEE

Automated Multi-Class Seizure-Type Classification System Using EEG Signals and Machine Learning Algorithms

Abstract: Epilepsy is a chronic brain disorder characterized by recurrent unprovoked seizures. The treatment for epilepsy is influenced by the types of seizures. Therefore, developing a reliable, ...