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Author

Theresia Ratih Dewi Saputri

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Conference Open access Sep 2026

Composition-Aware Feature Engineering for Lightweight Minimalist Image Quality Assessment Toward Mobile Deployment

Aesthetic quality assessment (AQA) research has produced accurate but computationally demanding deep learning methods that are difficult to deploy on mobile devices. This study instead targets minimalist style detection as an interpretable, lightweight composition-analysis problem, extracting 45 handcrafted features pe...

Rafi Abhista Naya, Theresia Ratih Dewi Saputri · 0 citations
Conference Sep 2026

On-Device GitHub Contributions Audit utilizing Recursive Language Models

Senior engineers must verify what developers built, but evidence is buried in commit histories, too voluminous to review manually. This code is often confidential, ruling out cloud services, yet local models cannot fit a repository in context. We present an on-device Recursive Language Model (RLM) for GitHub contributi...

Christian Luis Effendy, Davin Djayadi, Pelangi Masita Wati et al. · 0 citations

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