IEEE

Multi-Class Imbalance Classification Based on Data Distribution and Adaptive Weights

Abstract: AdaBoost approaches have been used for multi-class imbalance classification with an imbalance ratio measured on class sizes. However, such ratio would assign each training sample of the same ...
Scientific Research Publishing

Early Alzheimer’s Disease Detection from Short Speech Samples Using Lightweight, Interpretable Linguistic Markers ()

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
Springfield News-Leader

After class rank confusion, Ozark school board clarifies policy

The Ozark school board apologized for confusion surrounding its class rank policy. The board unanimously revised its policy to state Ozark High School is a non-ranking institution. Students will still ...
IEEE

Multi-Class Hierarchical Random Networks for Consensus-Based Information Filter

Abstract: This study proposes a general multi-class hierarchical random network with an arbitrary number of agents and an arbitrary connecting success probability to analyze the minimum communication ...