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

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.

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.

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.

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.

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

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.

Schrettner L., Gyimóthy T, Alexin Z., Toczki J..  1995.  Parallel execution of object functional queries. Fourth Symposium on Programming Languages and Software Tools. :447-459.

Schrettner L., Gyimóthy T, Alexin Z., Tocki J..  1998.  Parallel execution of object functional queries. Annales Universitatis Scientiarum Budapestinensis de Rolando Eotvos Nominatae Sectio Computarotica. 17:339-355.

Szilágyi G, Thanos AM.  2000.  PAGELEARN: Learning Semantic Functions of Attribute Grammars in Parallel.

Kocsor A, Tóth L, Bálint I.  1998.  On the Optimal Parameters of a Sinusoidal Representation of Signals. Conference of PhD students on Computer Sciences, Volume of Extended Abstracts. :61-63.

Kocsor A, Tóth L, Imre B.  1999.  On the Optimal Parameters of a Sinusoidal Representation of Signals. Acta Cybernetica. 14:315-330.

Tóth L, Kocsor A, Kovács K, Felföldi L.  2003.  Nyelvészeti tudásforrások integrálási lehetõségei diszkriminatív szegmens-alapú beszédfelismerõ rendszerekbe. I. Magyar Számítógépes Nyelvészet Konferencia. :169-175.

Kocsor A, Tóth L, Paczolay D.  2001.  A Nonlinearized Discriminant Analysis and its Application to Speech Impediment Therapy. Text, Speech and Dialogue : 4th International Conference, TSD 2001, LNAI vol. 2166. :249-257.

Fidrich M, Thirion J-P.  1995.  Multiscale Representation and Analysis of Features from Medical Images. CVRMed. 905:358–364.

Fidrich M, Thirion J-P.  1995.  Multiscale Extraction of Features from Medical Images. CAIP. 970:637–642.

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

Tóth L, Nagy B, Vidács L, Gyimóthy T.  2020.  Mining Hypernyms Semantic Relations from Stack Overflow. Proceedings of the First International Workshop on Knowledge Graph for Software Engineering, KG4SE 2020 - ICSEW.

Stellan O, H SRobert, Turán G, Aaron U.  2017.  Measuring an artificial intelligence system’s performance on a Verbal IQ test for young children. Journal Of Experimental & Theoretical Artificial Intelligence 29. :679-693.

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.

Angluin D, Krikis M, Sloan RH, Turán G.  1997.  Malicious Omissions and Errors in Answers to Membership Queries. Machine Learning. 28:211–255.

Turán G.  1993.  Lower Bounds for PAC Learning with Queries. COLT. :384–391.

Maass W, Turán G.  1992.  Lower Bound Methods and Separation Results for On-Line Learning Models. Machine Learning. 9:107–145.

Gröger HDietmar, Turán G.  1993.  A Liniear lower bound for the size of threshold circuits. Bulletin of the EATCS. 50:220–221.

Turán G, Vatan F.  1997.  Linear decision lists and partitioning algorithms for the construction of neural networks. Foundations of Computational Mathematics. :414–423.