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Hodován R, Kiss Á, Gyimóthy T.  2017.  Coarse Hierarchical Delta Debugging. Proceedings of the 33rd IEEE International Conference on Software Maintenance and Evolution (ICSME 2017). :194–203.

Horváth F, Gergely T, Beszédes Á, Tengeri D, Balogh G, Gyimóthy T.  2017.  Code Coverage Differences of Java Bytecode and Source Code Instrumentation Tools. Software Quality Journal.

Grósz T, Gosztolya G, Tóth L.  2017.  A Comparative Evaluation of GMM-Free State Tying Methods for ASR. Proceedings of Interspeech. :1626–1630.

Vidács L, Pinzger M.  2018.  Co-evolution Analysis of Production and Test Code by Learning Association Rules of Changes. 2018 IEEE Workshop on Machine Learning Techniques for Software Quality Evaluation (MaLTeSQuE 2018). :31-36.

Gosztolya G, Busa-Fekete R.  2019.  Calibrating AdaBoost for Phoneme Classification. Soft Computing. 23:115–128.

Gosztolya G, Tóth L.  2019.  Calibrating DNN Posterior Probability Estimates of HMM/DNN Models to Improve Social Signal Detection From Audio Data. Proceedings of Interspeech. :515–519.

Ferenc R, Hegedűs P, Gyimesi P, Antal G, Bán D, Gyimóthy T.  2019.  Challenging Machine Learning Algorithms in Predicting Vulnerable JavaScript Functions. Proceedings of the 7th International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering. :8–14.

Horvath F, Gergely T, Beszedes A, Tengeri D, Balogh G, Gyimothy T.  2019.  Code coverage differences of Java bytecode and source code instrumentation tools. SOFTWARE QUALITY JOURNAL. 27:79-123.