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Marko Ristin

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Open access Aug 2026

When Data Augmentation Falls Short: Wi-Fi Fingerprint-Based Indoor Localization Revisited

Generative data augmentation has been widely explored in Wi-Fi fingerprint-based indoor localization to reduce the cost of dense radiomap construction, with many studies reporting substantial localization improvements. However, these comparisons typically rely on default or weakly optimized baseline regressors, making...

Nurbek Malikov, Marko Ristin, Shinnazar Seytnazarov · 0 citations

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