Exploring Plausible Patches Using Source Code Embeddings in JavaScript. - Viktor Csuvik; Dániel Horváth 001; Márk Lajkó; László Vidács (APR@ICSE, 2021)

Computer-Aided Forensic Authorship Identification in Criminology. - András Kicsi; Péter Sánta; Dániel Horváth 001; Norbert Kohegyi; Viktor Szvoreny; Veronika Vincze; Eszter Fozo; László Vidács (ICCSA (Workshops 5), 2022)

Fine-Tuning GPT-2 to Patch Programs, Is It Worth It? - Márk Lajkó; Dániel Horváth 001; Viktor Csuvik; László Vidács (ICCSA (Workshops 4), 2022)

An Extensive Study on Model Architecture and Program Representation in the Domain of Learning-based Automated Program Repair. - Dániel Horváth 001; Viktor Csuvik; Tibor Gyimóthy; László Vidács (APR@ICSE, 2023)

Yet Another Miner Utility Unveiling a Dataset: CodeGrain. - Dániel Horváth 001; László Vidács (DATA, 2024)

Feature Extraction, Learning and Selection in Support of Patch Correctness Assessment. - Viktor Csuvik; Dániel Horváth 001; László Vidács (ICSOFT, 2024)

GenProgJS: A Baseline System for Test-Based Automated Repair of JavaScript Programs. - Viktor Csuvik; Dániel Horváth 001; Márk Lajkó; László Vidács (IEEE Trans. Software Eng., 2025)