Fülöp LJenő, Tóth G, Vidács L, Beszédes Á, Demeter H, Farkas L, Gyimóthy T, Balogh G.  2012.  Predictive Complex Event Processing: A conceptual framework for combining Complex Event Processing and Predictive Analytics. Proceedings of Fifth Balkan Conference in Informatics (BCI 2012). :26-31.

Toczki J., Gyimóthy T, Horváth T., Kocsis F..  1987.  PROF-LP user’s guide.

Paczolay D, Kocsor A, Tóth L.  2003.  Real-Time Vocal Tract Length Normalization in a Phonological Awareness Teaching System. Text, Speech and Dialogue: 6th International Conference, TSD 2003, vol. 2807. :309-314.

Tóth L, Gosztolya G.  2019.  Reducing the Inter-speaker Variance of CNN Acoustic Models Using Unsupervised Adversarial Multi-task Training. Proceedings of SPECOM. :481–490.

Tengeri D, Vidács L, Beszédes Á, Jász J, Balogh G, Vancsics B, Gyimóthy T.  2016.  Relating Code Coverage, Mutation Score and Test Suite Reducibility to Defect Density. Proceedings of the 9th IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW'16); The 11th International Workshop on Mutation Analysis (MUTATION'16). :174-179.

Kocsor A, A., Jr. K, László T, Márk J, László F, Tibor G, János C.  1999.  A Segment-Based Statistical Speech Recognition System for Isolated/Continuous Number Recognition. Proceedings of the 6th Fenno-Ugric Symposium on Software Technology (FUSST'99). :201-211.

Turán G, Vatan F.  1996.  A Size-Depth Trade-Off for the Analog Computation of Boolean Functions. Inf. Process. Lett.. 59:251–254.

Gosztolya G, Grósz T, Tóth L.  2020.  Social Signal Detection by Probabilistic Sampling DNN Training. IEEE Transactions on Affective Computing. 10:164–177.

Tóth L, Hoffmann I, Gosztolya G, Vincze V, Szatlóczki G, Bánréti Z, Pákáski M, Kálmán J.  2018.  A Speech Recognition-based Solution for the Automatic Detection of Mild Cognitive Impairment from Spontaneous Speech. Current Alzheimer Research. 15:130–138.

Fidrich M, Thirion J-P.  1998.  Stability of Corner Points in Scale Space: The Effect of Small Non-Rigid Deformations. Computer Vision and Image Understanding. 72:72–83.

Fidrich M, Thirion J-P.  1998.  Stability of Corner Points in Scale Space: The Effects of Small Nonrigid Deformations. Computer Vision and Image Understanding. 72:72–83.

Antal G, Hegedüs P, Tóth Z, Ferenc R, Gyimóthy T.  2018.  Static JavaScript Call Graphs: A Comparative Study. SCAM. :177-186.

Tóth L, Vidács L.  2019.  Study of The Performance of Various Classifiers in Labeling Non-Functional Requirements. Information Technology and Control. 48:1-16.

Tóth L, Vidács L.  2018.  Study of Various Classifiers for Identification and Classification of Non-Functional Requirements. Proceedings of the 18th International Conference on Computational Science and Its Applications (ICCSA 2018). 10964:492-503.

Szabó Z, Téglás K, Berta Á, Jelasity M, Bilicki V.  2019.  Stunner: A Smart Phone Trace for Developing Decentralized Edge Systems. Distributed Applications and Interoperable Systems. :108–115.

Gyimóthy T, Toczki J..  1987.  Syntactic pattern recognition in the HLP/PAS system. Acta Cybern.. 8:79–88.

Toczki J, Kocsis F, Gyimóthy T, Dányi G., Kókai G.  1990.  SYS/3 - A Software Development Tool. CC. 477:193–207.

Toczki J., Gyimóthy T, Kocsis F..  1989.  SYS-DL, a system development language supporting software quality assurance. First Finnish-Hungarian Workshop on Programming Languages and Software Tools. :307-317.

Horváth F, Vancsics B, Vidács L, Beszédes Á, Tengeri D, Gergely T, Gyimóthy T.  2015.  Test Suite Evaluation using Code Coverage Based Metrics. Proceedings of the 14th Symposium on Programming Languages and Software Tools (SPLST'15). :46-60.

Vidács L, Beszédes Á, Tengeri D, Siket I, Gyimóthy T.  2014.  Test Suite Reduction for Fault Detection and Localization: a Combined Approach. Proceedings of CSMR-WCRE 2014 Software Evolution Week (European Conference on Software Maintenance and Reengineering and Working Conference on Reverse Engineering). :204-213.

Sloan RH, Turán G.  1999.  On Theory Revision with Queries. Proceedings of the Twelfth Annual Conference on Computational Learning Theory. :41–52.

Goldsmith J, Sloan RH, Turán G.  2002.  Theory Revision with Queries: DNF Formulas. Machine Learning. 47:257–295.

Hajnal A, Maass W, Pudlák P, Szegedy M, Turán G.  1993.  Threshold Circuits of Bounded Depth. J. Comput. Syst. Sci.. 46:129–154.

Tóth L, Nagy B, Janthó D, Vidács L, Gyimóthy T.  2019.  Towards an Accurate Prediction of the Question Quality at Stack Overflow Using a Deep-Learning-Based NLP Approach. Proceedings of ICSOFT 2019, 14th International Conference on Software Technologies. :631-639.

Grósz T, Gosztolya G, Tóth L.  2017.  Training Context-Dependent DNN Acoustic Models Using Probabilistic Sampling. Proceedings of Interspeech. :1621–1625.