Author

Masayoshi Aritsugi

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Open access 2026

Fine-Tuning UniXcoder for Code Smell Detection in Java Projects

This study investigates the application of UniXcoder, a pre-trained transformer model for source code, to classify Java source code methods across multiple projects as smell or clean, with a particular focus on the Switch Statements smell, and confirms that pre-trained transformer models, particularly UniXcoder, are ca...

Hanson Prihantoro Putro, Umi Laili Yuhana, E. M. Yuniarno et al. · IEEE Access · 0 citations

Towards Real-world Application of Timeline Summarization in a Local Media

A practical framework that integrates prompt compression and topic modeling is proposed that overcomes context window limitations by compressing inputs while explicitly supplementing them with extracted topic words, thereby preserving global contextual information.

Hayata Shinjo, Israel Mendonça, Masayoshi Aritsugi · 0 citations