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Taymaz Akan

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Open access Oct 2026

Consensus Ensembles for Zero-Shot Algorithm Classification with Large Language Models

Manual classification of algorithmic problems is costly and inconsistent, although it remains essential for curriculum sequencing, recommendation systems, and quality control on competitive programming platforms. To address this limitation, this study investigates whether consensus-based, zero-shot classification using...

Haydar Tuna, Sefa Akça, Taymaz Akan · 0 citations
Sep 2026

Evaluating synthetic with real: a systematic comparison of seven LLMs for Turkish emotion classification

This study evaluates seven LLMs as synthetic data sources for Turkish emotion classification and indicates that classification performance did not track corpus diversity: no diversity metric was significantly associated with TREMO macro-F1 across the seven generators, indicating that no reliable relationship was detect...

Haydar Tuna, Taymaz Akan · 0 citations
Open access Jul 2026

From unlabeled to labeled: self-supervised deep learning in computational pathology.

These findings highlight the capability of SSL-HistoNet as an annotation-free framework for outlining disease-specific tissue structures, reducing manual labeling demands and mitigating inter- and intra-observer variability in histological processes.

Taymaz Akan, Richa Aishwarya, M. Bhuiyan et al. · 0 citations

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