| Learning with type-2 fuzzy activation functions to improve the performance of deep neural networks A Beke, T Kumbasar Engineering Applications of Artificial Intelligence 85, 372-384, 2019 | 20 | 2019 |
| Type-2 fuzzy logic-based linguistic pursuing strategy design and its deployment to a real-world pursuit evasion game A Beke, T Kumbasar IEEE transactions on cybernetics 50 (1), 211-221, 2018 | 11 | 2018 |
| Gradient descent and extended Kalman filter based self-tuning interval type-2 fuzzy PID controllers A Sakalli, A Beke, T Kumbasar 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1592-1598, 2016 | 11 | 2016 |
| Design and Deployment of Fuzzy PID Controllers to the nano quadcopter Crazyflie 2.0 F Candan, A Beke, T Kumbasar 2018 Innovations in Intelligent Systems and Applications (INISTA), 1-6, 2018 | 9 | 2018 |
| A rule based fuzzy gesture recognition system to interact with Sphero 2.0 using a smart phone A Beke, AA Yuceler, T Kumbasar 2017 International Artificial Intelligence and Data Processing Symposium …, 2017 | 7 | 2017 |
| A deep learning-based pipeline for teaching control theory: transforming feedback control systems on whiteboard into MATLAB D Erdem, A Beke, T Kumbasar IEEE Access 8, 84631-84641, 2020 | 6 | 2020 |
| Game of spheros: A real-world pursuit-evasion game with type-2 fuzzy logic A Beke, T Kumbasar 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2017 | 6 | 2017 |
| An IMC based fuzzy self-tuning mechanism for fuzzy PID controllers AI Savran, A Beke, T Kumbasar, E Yesil 2015 International Symposium on Innovations in Intelligent SysTems and …, 2015 | 6 | 2015 |
| Altitude and position control of parrot mambo minidrone with PID and fuzzy PID controllers MR Kaplan, A Eraslan, A Beke, T Kumbasar 2019 11th International Conference on Electrical and Electronics Engineering …, 2019 | 4 | 2019 |
| Analyzing the control surfaces of type-1 and interval type-2 FLCs through an experimental study A Sakalli, A Beke, T Kumbasar 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2018 | 3 | 2018 |
| Interval Type-2 Fuzzy Systems as Deep Neural Network Activation Functions. A Beke, T Kumbasar EUSFLAT Conf., 2019 | 2 | 2019 |
| Fuzzy logic based self-driving racing car control system B Korkmaz, UB Etlik, A Beke, T Kumbasar 2018 6th International Conference on Control Engineering & Information …, 2018 | 2 | 2018 |
| YAFT: A Fuzzy Logic based Real Time Two-Wheeled Inverted Pendulum Robot SE Ovur, F Candan, A Beke, T Kumbasar 2018 6th International Conference on Control Engineering & Information …, 2018 | 2 | 2018 |
| Single vs. double input interval type-2 fuzzy PID controllers: which one is better? A Beke, T Kumbasar 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-7, 2018 | 2 | 2018 |
| A fuzzy logic-based autonomous car control system for the JavaScript Racer game UB Etlik, B Korkmaz, A Beke, T Kumbasar Transactions of the Institute of Measurement and Control 43 (5), 1028-1038, 2021 | 1 | 2021 |
| Capturing Uncertainty with Interval Fuzzy Logic Systems through Composite Deep Learning A Beke, T Kumbasar 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2021 | | 2021 |
| Deep learning frameworks to learn prediction and simulation focused control system models T Tuna, A Beke, T Kumbasar Applied Intelligence, 1-18, 2021 | | 2021 |
Tufan KumbasarAssociate Professor@Istanbul Technical University, Control and Automation Engineering DepartmentVerified email at itu.edu.tr
