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.

Hegedűs P.  2019.  Towards Analyzing the Complexity Landscape of Solidity Based Ethereum Smart Contracts. Technologies. 7:6.

Hegedüs P.  2018.  Towards Analyzing the Complexity Landscape of Solidity Based Ethereum Smart Contracts. Proceedings of the 1st International Workshop on Emerging Trends in Software Engineering for Blockchain. :35–39.

Ferenc R, Sim SElliott, Holt RC, Koschke R, Gyimóthy T.  2001.  Towards a Standard Schema for C/C++. Proceedings of the 8th Working Conference on Reverse Engineering (WCRE 2001). :49–58.

Jelasity M.  2000.  Towards Automatic Domain Knowledge Extraction for Evolutionary Heuristics. Parallel Problem Solving from Nature PPSN VI. :755–764.

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

Hodován R, Kiss Á, Gyimóthy T.  2017.  Tree Preprocessing and Test Outcome Caching for Efficient Hierarchical Delta Debugging. Proceedings of the 12th IEEE/ACM International Workshop on Automation of Software Testing (AST 2017). :23–29.

Ortigosa P.M, García I., Jelásity M..  2001.  Two Approaches for Parallelizing the UEGO Algorithm. Optimization Theory: Recent Developments from Mátraháza. :159–177.

Csirik J, Frenk J.BG, Labbé M.  1993.  Two-Dimensional Rectangle Packing: On-Line Methods and Results. Discrete Applied Mathematics. 45:197–204.

Maass W, Schnitger G, Szemerédi E, Turán G.  1993.  Two Tapes Versus One for Off-Line Turing Machines. Computational Complexity. 3:392–401.

Jelasity M, Ortigosa PMartínez, García I.  2001.  UEGO, an Abstract Clustering Technique for Multimodal Global Optimization. Journal of Heuristics. 7:215–233.

Jelasity M.  1998.  UEGO, an Abstract Niching Technique for Global Optimization. PPSN. 1498:378–387.

Csapó TGábor, Al-Radhi MSalah, Németh G, Gosztolya G, Grósz T, Tóth L, Markó A.  2019.  Ultrasound-based Silent Speech Interface Built on a Continuous Vocoder. Proceedings of Interspeech. :894–898.

French M., Szepesvari C., Rogers E..  1997.  Uncertainty, performance, and model dependency in approximate adaptive nonlinear control. Proceedings of the 36th IEEE Conference on Decision and Control. 3:3046-3051vol.3.

Balogh V, Berend G, Diochnos DI, Turán G.  2020.  Understanding the Semantic Content of Sparse Word Embeddings Using a Commonsense Knowledge Base. Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20). :7399-7406.

Beszedes A., Farago C., Z. Szabo M, Csirik J., Gyimothy T..  2002.  Union slices for program maintenance. International Conference on Software Maintenance, 2002. Proceedings.. :12-21.

Vincze V, Farkas R, Szántó Z, Simkó KIlona.  2017.  Universal Dependencies and Morphology for Hungarian - and on the Price of Universality. Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, {EACL} 2017, Valencia, Spain, April 3-7, 2017, Volume 1: Long Papers. :356–365.

Zvada S, Gyimóthy T.  2001.  Using decision trees to infer semantic functions of attribute grammars. Acta Cybernetica. 15:279–304.

Gosztolya G.  2019.  Using Fisher Vector and Bag-of-Audio-Words Representations to Identify Styrian Dialects, Sleepiness, Baby & Orca Sounds. Proceedings of Interspeech. :2413–2417.

Gosztolya G.  2019.  Using the Bag-of-Audio-Word Feature Representation of ASR DNN Posteriors for Paralinguistic Classification. Proceedings of Interspeech. :2413–2417.

Gosztolya G.  2020.  Using the Fisher Vector Representation for Audio-based Emotion Recognition. Acta Polytechnica Hungarica. 17:7–23.

Csuvik V, Horváth D, Horváth F, Vidács L.  2020.  Utilizing Source Code Embeddings to Identify Correct Patches. Proceedings of the Second International Workshop on Intelligent Bug Fixing (IBF 2020). :18-25.

Kovács K, Kocsor A.  2003.  Various Hyperplane Classifiers Using Kernel Feature Spaces. Acta Cybernetica. 16:271-278.

Kovács K, Kocsor A.  2002.  Various Hyperplane Classifiers Using Kernels Feature Spaces. Conference of PhD students on Computer Sciences, Volume of Extended Abstracts. :63.

Gosztoya G, Kocsor A, Tóth L, Felföldi L.  2002.  Various Robust Search Methods in a Hungarian Speech recognition System. Conference of PhD students on Computer Sciences, Volume of Extended Abstracts. :35.