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Ruksit Rojpaisarnkit
Ruksit Rojpaisarnkit
在 is.naist.jp 的电子邮件经过验证
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Automatic cause-effect relation extraction from dental textbooks using bert
T Chansai, R Rojpaisarnkit, T Boriboonsub, S Tuarob, MS Yin, ...
Towards Open and Trustworthy Digital Societies: 23rd International …, 2021
42021
Visualizing Contributor Code Competency for PyPI Libraries: Preliminary Results
I Febriyanti, RG Kula, R Rojpaisarnkit, K Kannee, YS Nugroho, ...
2022 29th Asia-Pacific Software Engineering Conference (APSEC), 472-476, 2022
22022
Intertwining Ecosystems: A Large Scale Empirical Study of Libraries that Cross Software Ecosystems
K Kannee, S Wattanakriengkrai, R Rojpaisarnkit, RG Kula, K Matsumoto
arXiv preprint arXiv:2208.06655, 2022
22022
jscefr: A Framework to Evaluate the Code Proficiency for JavaScript
C Ragkhitwetsagul, K Kongwongsupak, T Maneesawas, N Puttiwarodom, ...
2024 IEEE International Conference on Software Maintenance and Evolution …, 2024
2024
Towards Identifying Code Proficiency through the Analysis of Python Textbooks
R Rojpaisarnkit, G Robles, RG Kula, D Wang, C Ragkhitwetsagul, ...
2024 IEEE International Conference on Software Maintenance and Evolution …, 2024
2024
Characterising Contributions that Coincide with Vulnerability Mitigation in NPM Libraries
R Rojpaisarnkit, H Damrongsiri, C Treude, A Ouni, RG Kula
arXiv preprint arXiv:2406.11362, 2024
2024
An Empirical Study to Understand Pythonic Lists and Dictionaries Usage in Textbooks
R Rojpaisarnkit
Nara institute of Science and Technology, 2024
2024
Bandhu, Debanwesa, 261 Banerjee, Hindol, 261 Ben-Hamadou, Achraf, 182 Cardillo, Carlos, 267
C Carthen, CE Yavas, A Charit, H Cheng, H Chi, HO Choe, YR Choe, ...
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