Csirik J, Imreh C, Noga J, Seiden SS, Woeginger GJ.  2001.  Buying a Constant Competitive Ratio for Paging. Algorithms –- ESA 2001. :98–108.

Kocsor A, Csirik J.  2001.  Fast Independent Component Analysis in Kernel Feature Spaces. SOFSEM 2001: Theory and Practice of Informatics: 28th Conference on Current Trends in Theory and Practice of Informatics, LNAI vol. 2234. :271-281.

Vicsi K, Tóth L, Kocsor A, Gordos G, Csirik J.  2002.  MTBA - magyar nyelvû telefonbeszéd-adatbázis. Híradástechnika. LVII:35-39.

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.

Hócza A., Alexin Z., Csendes D., Csirik J., Gyimóthy T.  2003.  Application of ILP methods in different natural language processing phases for information extraction from Hungarian texts. Kalmár Workshop on Logic and Computer Science. :107-116.

Hócza A., Alexin Z., Csendes D., Csirik J., Gyimóthy T.  2003.  Application of ILP methods in different natural language processing phases for information extraction from Hungarian texts. Kalmár Workshop on Logic and Computer Science. :107-116.

Jiang X., Abegglen K., Bunke H., Csirik J.  2003.  Dynamic computation of generalised median strings. Pattern Analysis & Applications. 6:185–193.

Jiang X., Abegglen K., Bunke H., Csirik J.  2003.  Dynamic Computation of Generalised Median Strings. Pattern Anal. Appl.. 6:185–193.

Alexin Z, Gyimóthy T, Hatvani C, Tihanyi L, Csirik J, Bibok K, Prószéky G.  2003.  Manually Annotated Hungarian Corpus. Proceedings of the Tenth Conference on European Chapter of the Association for Computational Linguistics - Volume 2. :53–56.

Jiang X, Bunke H, Csirik J.  2004.  MEDIAN STRINGS: A REVIEW. Data Mining in Time Series Databases. :173-192.

Ujhelyi Z, Horváth Á, Varró D, Csiszár NIstván, Szőke G, Vidács L, Ferenc R.  2014.  Anti-pattern Detection with Model Queries: A Comparison of Approaches. Proceedings of CSMR-WCRE 2014 Software Evolution Week (European Conference on Software Maintenance and Reengineering and Working Conference on Reverse Engineering). :293-302.

Ferenc R, Hegedüs P, Gyimóthy T.  2014.  Software Product Quality Models. {Evolving Software Systems}. :65-100.

Ujhelyi Z, Szőke G, Horváth Á, Csiszár NIstván, Vidács L, Varró D, Ferenc R.  2015.  Performance comparison of query-based techniques for anti-pattern detection. Information and Software Technology. 65:147-165.

Csapó TGábor, Grósz T, Gosztolya G, Tóth L, Markó A.  2017.  DNN-Based Ultrasound-to-Speech Conversion for a Silent Speech Interface. Proceedings of Interspeech. :3672–3676.

Kicsi A, Csuvik V, Vidács L, Beszédes Á, Gyimóthy T.  2018.  Feature Level Complexity and Coupling Analysis in 4GL Systems. Proceedings of the 18th International Conference on Computational Science and Its Applications (ICCSA 2018).

Kicsi A, Vidács L, Csuvik V, Horváth F, Beszédes Á, Kocsis F.  2018.  Supporting Product Line Adoption by Combining Syntactic and Textual Feature Extraction. New Opportunities for Software Reuse - 17th International Conference on Software Reuse (ICSR 2018). :1-16.

Gosztolya G, Pintér Á, Tóth L, Grósz T, Markó A, Csapó TGábor.  2019.  Autoencoder-Based Articulatory-to-Acoustic Mapping for Ultrasound Silent Speech Interfaces. Proceedings of IJCNN.

Csuvik V, Kicsi A, Vidács L.  2019.  Evaluation of Textual Similarity Techniques in Code Level Traceability. Proceedings of the 19th International Conference on Computational Science and Its Applications (ICCSA 2019). :529-543.

Kicsi A, Csuvik V, Vidács L, Horváth F, Beszédes Á, Gyimóthy T, Kocsis F.  2019.  Feature Analysis using Information Retrieval, Community Detection and Structural Analysis Methods in Product Line Adoption. Journal of Systems and Software. 155:70-90.

Horvath F, Lacerda VSchnepper, Beszedes A, Vidacs L, Gyimothy T.  2019.  A New Interactive Fault Localization Method with Context Aware User Feedback. 2019 IEEE 1ST INTERNATIONAL WORKSHOP ON INTELLIGENT BUG FIXING (IBF `19). :23-28.

Csuvik V, Kicsi A, Vidács L.  2019.  Source Code Level Word Embeddings in Aiding Semantic Test-to-Code Traceability. Proceedings of the 10th International Workshop on Software and Systems Traceability, (SST 2019 @ ICSE). :29-36.

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.

Gosztolya G, Grósz T, Tóth L, Markó A, Csapó TGábor.  2020.  Applying DNN Adaptation to Reduce the Session Dependency of Ultrasound Tongue Imaging-based Silent Speech Interfaces. Acta Polytechnica Hungarica. 17:109–124.

Hegedűs I, Danner G, Jelasity M.  2020.  Decentralized Recommendation Based on Matrix Factorization: A Comparison of Gossip and Federated Learning. Machine Learning and Knowledge Discovery in Databases. :317–332.

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.