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...
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· Journal of Supercomputing· 0 citations
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.· BioData Mining· 0 citations
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