Gyimóthy T, Simon E., Makay Á..  1983.  An implementation of the HLP. Acta Cybernetica - Szeged. 6:315-327.

Toczki J., Simon E., Garai T., Kocsis T., Gyimóthy T.  1986.  Automatic compiler generation. Proceedings of 1st Symposium on Automata, Languages and Programming Systems. :289-297.

Fritzson P, Gyimóthy T, Kamkar M, Shahmehri N.  1991.  Generalized Algorithmic Debugging and Testing. PLDI. :317–326.

Faigle U, Schrader R, Turán G.  1992.  The Communication Complexity of Interval Orders. Discrete Applied Mathematics. 40:19–28.

Fritzson P., Shahmehri N., Kamkar M., Gyimóthy T.  1992.  Generalized algorithmic debugging and testing. ACM Lett. Program. Lang. Syst.. 1:303–322.

Gyimóthy T, Alexin Z., Szűcs R..  1992.  Integrated Graphic Enviroment to Develop Applications Based on Attribute Grammars. Lecture Notes in Computer Science. 641:51-58.

Szepesvári C, Lörincz A.  1993.  Behavior of an Adaptive Self-organizing Autonomous Agent Working with Cues and Competing Concepts. Adaptive Behaviour. 2:131–160.

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

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

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

Sloan RH, Turán G.  1994.  Learning with Queries but Incomplete Information (Extended Abstract). COLT. :237–245.

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.

Szepesvári C, Lörincz A.  1996.  Approximate geometry representations and sensory fusion. Neurocomputing. 12:267–287.

Littman ML, Szepesvári C.  1996.  A Generalized Reinforcement-Learning Model: Convergence and Applications. ICML. :310–318.

Horváth T, Sloan RH, Turán G.  1996.  Learning Logic Programs with Random Classification Noise. Inductive Logic Programming Workshop. 1314:315–336.

Fomin T, Rozgonyi T, Szepesvári C, Lörincz A.  1996.  Self-Organizing Multi-Resolution Grid for Motion Planning and Control. Int. J. Neural Syst.. 7:757.

Szepesvári C., Lörincz A..  1997.  Approximate Inverse-Dynamics based Robust Control using Static and Dynamic State Feedback. Applications of Neural Adaptive Control Technology. :151–197.

Szepesvári C.  1997.  The Asymptotic Convergence-Rate of Q-learning. NIPS. :1064–1070.

Quatrehomme G, Cotin S, Subsol G, Delingette H, Garidel Y, Grévin G, Fidrich M, Bailet P, Ollier A.  1997.  A Fully Three-Dimensional Method for Facial Reconstruction Based on Deformable Models. Journal of Forensic Sciences. 42:649-652.

Szepesvári C., Lörincz A..  1997.  High Precision Neurocontrol of a Chaotic Bioreactor. Nonlinear Analysis. 30:1669–1676.

Szepesvári C., Lörincz A..  1997.  Integrated Architecture for Motion-control and Path-planning. Journal of Robotic Systems. 15:1–15.

Szepesvári C.  1997.  Learning and Exploitation Do Not Conflict Under Minimax Optimality. ECML. 1224:242–249.

Sloan RH, Turán G.  1997.  Learning from Incomplete Boundary Queries Using Split Graphs and Hypergraphs. EuroCOLT. 1208:38–50.

Horváth T, Sloan RH, Turán G.  1997.  Learning Logic Programs by Using the Product Homomorphism Method. COLT. :10–20.

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