Automatic Cause-Effect Relation Extraction from Dental Textbooks Using BERT. - Terapat Chansai; Ruksit Rojpaisarnkit; Teerakarn Boriboonsub; Suppawong Tuarob; Myat Su Yin; Peter Haddawy; Saeed-Ul Hassan; Mihai Pomarlan (ICADL, 2021)

Visualizing Contributor Code Competency for PyPI Libraries: Preliminary Results. - Indira Febriyanti; Raula Gaikovina Kula; Ruksit Rojpaisarnkit; Kanchanok Kannee; Yusuf Sulistyo Nugroho; Kenichi Matsumoto (APSEC, 2022)

Intertwining Ecosystems: A Large Scale Empirical Study of Libraries that Cross Software Ecosystems. - Kanchanok Kannee; Supatsara Wattanakriengkrai; Ruksit Rojpaisarnkit; Raula Gaikovina Kula; Kenichi Matsumoto (CoRR, 2022)

jscefr: A Framework to Evaluate the Code Proficiency for JavaScript. - Chaiyong Ragkhitwetsagul; Komsan Kongwongsupak; Thanakrit Maneesawas; Natpichsinee Puttiwarodom; Ruksit Rojpaisarnkit; Morakot Choetkiertikul; Raula Gaikovina Kula; Thanwadee Sunetnanta (ICSME, 2024)

Towards Identifying Code Proficiency Through the Analysis of Python Textbooks. - Ruksit Rojpaisarnkit; Gregorio Robles; Raula Gaikovina Kula; Dong Wang 044; Chaiyong Ragkhitwetsagul; Jesús M. González-Barahona; Kenichi Matsumoto (ICSME, 2024)

Characterising Contributions that Coincide with Vulnerability Mitigation in NPM Libraries. - Ruksit Rojpaisarnkit; Hathaichanok Damrongsiri; Christoph Treude; Ali Ouni 001; Raula Gaikovina Kula (SERA, 2024)