3 papers
cs.LG2025
Unveiling Statistical Significance of Online Regression over Multiple Datasets
Mohammad Abu-Shaira, Weishi Shi
Despite extensive focus on techniques for evaluating the performance of two learning algorithms on a single dataset, the critical challenge of developing statistical tests to compa…
cs.LG2025
OLC-WA: Drift Aware Tuning-Free Online Classification with Weighted Average
Mohammad Abu Shaira, Yunhe Feng, Heng Fan +1
Real-world data sets often exhibit temporal dynamics characterized by evolving data distributions. Disregarding this phenomenon, commonly referred to as concept drift, can signific…
cs.LG2025
OLR-WAA: Adaptive and Drift-Resilient Online Regression with Dynamic Weighted Averaging
Mohammad Abu-Shaira, Weishi Shi
Real-world datasets frequently exhibit evolving data distributions, reflecting temporal variations and underlying shifts. Overlooking this phenomenon, known as concept drift, can s…