3 papers
cs.CV2026
Difficulty-Aware Sample Allocation for Adaptive Data Augmentation in Semantic Segmentation
Olasimbo Ayodeji Arigbabu, Abimbola Ismail Arigbabu
Data augmentation is a standard component of modern semantic segmentation pipelines, but most augmentation techniques allocate transformations uniformly across training samples or…
cs.AI2026
Entropy-Based Observability for AI Agent Behavior
Olasimbo Ayodeji Arigbabu
AI agents are typically instrumented through outcome-oriented indicators such as task success, reward, latency, and cost.Although these indicators are operationally important, they…
cs.CV2020
Entropy Decision Fusion for Smartphone Sensor based Human Activity Recognition
Olasimbo Ayodeji Arigbabu
Human activity recognition serves an important part in building continuous behavioral monitoring systems, which are deployable for visual surveillance, patient rehabilitation, gami…