Study of Various Classifiers for Identification and Classification of Non-functional Requirements. - László Tóth 002; László Vidács (ICCSA (5), 2018)

Exploring the Benefits of Utilizing Conceptual Information in Test-to-Code Traceability. - András Kicsi; László Tóth 002; László Vidács (RAISE@ICSE, 2018)

Towards an Accurate Prediction of the Question Quality on Stack Overflow using a Deep-Learning-Based NLP Approach. - László Tóth 002; Balázs Nagy; Dávid Janthó; László Vidács; Tibor Gyimóthy (ICSOFT, 2019)

Comparative Study of The Performance of Various Classifiers in Labeling Non-Functional Requirements. - László Tóth 002; László Vidács (Inf. Technol. Control., 2019)

Why will my question be closed?: NLP-based pre-submission predictions of question closing reasons on stack overflow. - László Tóth 002; Balázs Nagy; Tibor Gyimóthy; László Vidács (ICSE (NIER), 2020)

Natural Language Processing and Artificial Intelligence Methods in Software Engineering - László Tóth 002 (2022)