| Evaluation of machine learning algorithms for intrusion detection system M Almseidin, M Alzubi, S Kovacs, M Alkasassbeh 2017 IEEE 15th international symposium on intelligent systems and …, 2017 | 383 | 2017 |
| Fuzzy rule interpolation Matlab toolbox-FRI toolbox ZC Johanyák, D Tikk, S Kovács, KW Wong 2006 IEEE international conference on fuzzy systems, 351-357, 2006 | 118 | 2006 |
| Fuzzy rule interpolation based on polar cuts ZC Johanyák, S Kovács Computational Intelligence, Theory and Applications: International …, 2006 | 108 | 2006 |
| The use of the concept of vague environment in approximate fuzzy reasoning S Kovács, LT Kóczy Fuzzy Set Theory and Applications, Tatra Mountains Mathematical Publications …, 1997 | 100 | 1997 |
| Extending the fuzzy rule interpolation" five" by fuzzy observation S Kovács Computational Intelligence, Theory and Applications: International …, 2006 | 92 | 2006 |
| Approximate fuzzy reasoning based on interpolation in the vague environment of the fuzzy rule base as a practical alternative of the classical CRI S Kovács, LT Kóczy Proceedings of the 7th International Fuzzy Systems Association World …, 1997 | 74 | 1997 |
| New aspects of interpolative reasoning S Kovács Proceedings of the 6th. International Conference on Information Processing …, 1996 | 73 | 1996 |
| Fuzzy rule interpolation by the least squares method ZC Johanyák, S Kovács 7th International Symposium of Hungarian Researchers on Computational …, 2006 | 63 | 2006 |
| Fuzzy rule interpolation and extrapolation techniques: Criteria and evaluation guidelines D Tikk, ZC Johanyák, S Kovács, KW Wong Journal of advanced computational intelligence and intelligent informatics …, 2011 | 60 | 2011 |
| Detection of IoT-botnet attacks using fuzzy rule interpolation M Al-Kasassbeh, M Almseidin, K Alrfou, S Kovacs Journal of Intelligent & Fuzzy Systems 39 (1), 421-431, 2020 | 57 | 2020 |
| Sparse fuzzy system generation by rule base extension ZC Johanyák, S Kovács 2007 11th International Conference on Intelligent Engineering Systems, 99-104, 2007 | 55 | 2007 |
| Application of an approximate fuzzy logic controller in an AGV steering system, path tracking and collision avoidance strategy S Kovács, LT Kóczy Fuzzy Set Theory and Applications, In Tatra Mountains Mathematical …, 1999 | 53 | 1999 |
| A brief survey and comparison on various interpolation based fuzzy reasoning methods ZC Johanyák, S Kovács Acta Polytechnica Hungarica 3 (1), 91-105, 2006 | 50 | 2006 |
| Incremental rule base creation with fuzzy rule interpolation-based Q-learning D Vincze, S Kovács Computational Intelligence in Engineering, 191-203, 2010 | 47 | 2010 |
| Fuzzy rule interpolation-based Q-learning D Vincze, S Kovács 2009 5th International Symposium on Applied Computational Intelligence and …, 2009 | 46 | 2009 |
| Interpolation based fuzzy automaton for human-robot interaction S Kovács, D Vincze, M Gácsi, P Korondi IFAC Proceedings Volumes 42 (16), 317-322, 2009 | 42 | 2009 |
| Ethologically inspired robot behavior implementation S Kovács, D Vincze, M Gácsi, Á Miklósi, P Korondi 2011 4th International Conference on Human System Interactions, HSI 2011, 64-69, 2011 | 36 | 2011 |
| Application of interpolation-based fuzzy logic reasoning in behaviour-based control structures S Kovács, LT Kóczy 2004 IEEE international conference on fuzzy systems (IEEE Cat. No. 04CH37542 …, 2004 | 36 | 2004 |
| Application of the approximate fuzzy reasoning based on interpolation in the vague environment of the fuzzy rulebase in the fuzzy logic controlled path tracking strategy of … S Kovács, LT Kóczy Computational Intelligence Theory and Applications: International Conference …, 1997 | 36 | 1997 |
| Fuzzy automaton as a detection mechanism for the multi-step attack M Almseidin, I Piller, M Al-Kasassbeh, S Kovacs International Journal on Advanced Science, Engineering and Information …, 2019 | 34 | 2019 |
Zsolt Csaba JohanyákJohn von Neumann University, Dept. of Information Techn./Obuda University, Inst. of MechatronicsDirección de correo verificada de nje.hu