Author

Cüneyt Şamil Oğurlu

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Open access Oct 2026

Multi-view context learning for human-object interaction detection

Understanding how humans interact with objects in complex visual scenes is fundamental to human-centric artificial intelligence. Yet, current Human-Object Interaction (HOI) detection frameworks often falter when faced with visual occlusions, vague interaction semantics, and scenarios that extend beyond predefined categ...

A. Abdusalomov, Utkir Xudoynazarov, U. Ruziev et al. · Scientific Reports · 0 citations

Review

The Review of Law, International Politics and Economics A Unified Neural–Symbolic Compliance-Aware Framework for Real-Time Fraud Detection in Regulated Financial Systems

NEO-STREAM, a compliance-aware transformer-based framework for real-time fraud detection that employs micro-episode tokenization to capture short-term behavioral patterns without relying on long-term user histories, indicates that compliance-aware AI architectures can effectively bridge the gap between predictive perfo...

A. Abdusalomov, Alpamis Kutlimuratov, Cüneyt Şamil Oğurlu · 0 citations