| Face recognition based on convolutional neural network M Coşkun, A Uçar, Ö Yildirim, Y Demir 2017 international conference on modern electrical and energy systems (MEES …, 2017 | 344 | 2017 |
| Object recognition and detection with deep learning for autonomous driving applications A Uçar, Y Demir, C Güzeliş Simulation 93 (9), 759-769, 2017 | 200 | 2017 |
| Wavelet-based feature extraction and selection for classification of power system disturbances using support vector machines H Erişti, A Uçar, Y Demir Electric power systems research 80 (7), 743-752, 2010 | 192 | 2010 |
| A new facial expression recognition based on curvelet transform and online sequential extreme learning machine initialized with spherical clustering A Uçar, Y Demir, C Güzeliş Neural Computing and Applications 27 (1), 131-142, 2016 | 159 | 2016 |
| An overview of popular deep learning methods M Coşkun, Ö Yıldırım, A Uçar, Y Demır European Journal of Technique (EJT) 7 (2), 165-176, 2017 | 141 | 2017 |
| A brief survey and an application of semantic image segmentation for autonomous driving Ç Kaymak, A Uçar Handbook of deep learning applications, 161-200, 2019 | 94 | 2019 |
| Skin lesion segmentation using fully convolutional networks: A comparative experimental study R Kaymak, C Kaymak, A Ucar Expert Systems with Applications 161, 113742, 2020 | 83 | 2020 |
| Artificial intelligence for predictive maintenance applications: key components, trustworthiness, and future trends A Ucar, M Karakose, N Kırımça Applied Sciences 14 (2), 898, 2024 | 63 | 2024 |
| Efficient android electronic nose design for recognition and perception of fruit odors using Kernel Extreme Learning Machines A Uçar, R Özalp Chemometrics and Intelligent Laboratory Systems 166, 69-80, 2017 | 52 | 2017 |
| Gesture imitation and recognition using Kinect sensor and extreme learning machines E Yavşan, A Uçar Measurement 94, 852-861, 2016 | 50 | 2016 |
| The solutions of vibration control problems using artificial neural networks H Alli, A Uçar, Y Demir Journal of the Franklin Institute 340 (5), 307-325, 2003 | 49 | 2003 |
| Deep Convolutional Neural Networks for facial expression recognition A Uçar 2017 IEEE International Conference on INnovations in Intelligent SysTems and …, 2017 | 41 | 2017 |
| Moving towards in object recognition with deep learning for autonomous driving applications A Uçar, Y Demir, C Güzeliş 2016 International Symposium on INnovations in Intelligent SysTems and …, 2016 | 38 | 2016 |
| A review of deep reinforcement learning algorithms and comparative results on inverted pendulum system R Özalp, NK Varol, B Taşci, A Uçar Machine Learning Paradigms: Advances in Deep Learning-based Technological …, 2020 | 28 | 2020 |
| Implementation of object detection and recognition algorithms on a robotic arm platform using raspberry pi C Kaymak, U Aysegul 2018 International Conference on Artificial Intelligence and Data Processing …, 2018 | 28 | 2018 |
| New CNN and hybrid CNN-LSTM models for learning object manipulation of humanoid robots from demonstration SN Aslan, R Özalp, A Uçar, C Güzeliş Cluster Computing 25 (3), 1575-1590, 2022 | 23 | 2022 |
| Semantic image segmentation for autonomous driving using fully convolutional networks Ç Kaymak, A Uçar 2019 International Artificial Intelligence and Data Processing Symposium …, 2019 | 20 | 2019 |
| A penalty function method for designing efficient robust classifiers with input space optimal separating surfaces A Uçar, Y Demir, C Güzeliş Turk. J. Elec. Eng. & Comp. Sci, 1-39, 2014 | 20 | 2014 |
| Color face recognition based on steerable pyramid transform and extreme learning machines A Uçar The Scientific World Journal 2014 (1), 628494, 2014 | 18 | 2014 |
| The determination and analysis of factors affecting to student learning by artificial intelligence in higher education N Ozbey, M Karakose, A Ucar 2016 15th International Conference on Information Technology Based Higher …, 2016 | 16 | 2016 |
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