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Author

Gurgen Hovakimyan

2 papers indexed here

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Open access Sep 2026

When Pixels Lie: The Hidden Toll of Concept Drift

Concept drift poses a major challenge to the reliability and transparency of computer vision systems. This study provides a systematic analysis of how four drift types, such as noise, blur, rotation, and brightness, affect both model performance and Grad-CAM/Grad-CAM++ explainability across CIFAR-10 and Tiny ImageNet d...

Gurgen Hovakimyan, J. M. Bravo · 0 citations
Open access Aug 2026

Label-Free Visual Concept Drift Detection via Classifier Two-Sample Tests and Characteristic Function Embeddings

This work proposes a real-time, label-free concept drift detection framework that couples the Classifier Two-Sample Test (C2ST) with a novel Characteristic Function Embedding (CFE) bottleneck, operating directly on deep convolutional representations.

Gurgen Hovakimyan, Jorge Miguel Bravo · 0 citations

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