An effective hybrid model for EEG-based drowsiness detection U Budak, V Bajaj, Y Akbulut, O Atila, A Sengur IEEE sensors journal 19 (17), 7624-7631, 2019 | 146 | 2019 |
NS-k-NN: Neutrosophic Set-Based k-Nearest Neighbors Classifier Y Akbulut, A Sengur, Y Guo, F Smarandache Symmetry 9 (9), 179, 2017 | 88 | 2017 |
Classification of amyotrophic lateral sclerosis disease based on convolutional neural network and reinforcement sample learning algorithm A Sengur, Y Akbulut, Y Guo, V Bajaj Health information science and systems 5, 1-7, 2017 | 76 | 2017 |
Time–frequency texture descriptors of EEG signals for efficient detection of epileptic seizure A Şengür, Y Guo, Y Akbulut Brain Informatics 3, 101-108, 2016 | 70 | 2016 |
An effective color image segmentation approach using neutrosophic adaptive mean shift clustering Y Guo, A Şengür, Y Akbulut, A Shipley Measurement 119, 28-40, 2018 | 61 | 2018 |
A novel microaneurysms detection approach based on convolutional neural networks with reinforcement sample learning algorithm U Budak, A Şengür, Y Guo, Y Akbulut Health information science and systems 5, 1-10, 2017 | 60 | 2017 |
A Survey on Neutrosophic Medical Image Segmentation A Şengür, Ü Budak, Y Akbulut, M Karabatak, E Tanyıldızı Neutrosophic Set in Medical Image Analysis, 2019 | 42 | 2019 |
KNCM: Kernel neutrosophic c-means clustering Y Akbulut, A Şengür, Y Guo, K Polat Applied Soft Computing 52, 714-724, 2017 | 41 | 2017 |
Improving brain tumor classification performance with an effective approach based on new deep learning model named 3ACL from 3D MRI data F Demir, Y Akbulut, B Taşcı, K Demir Biomedical Signal Processing and Control 81, 104424, 2023 | 39 | 2023 |
Deep learning based face liveness detection in videos Y Akbulut, A Şengür, Ü Budak, S Ekici International Conference on Artificial Intelligence and Data Processing …, 2017 | 36 | 2017 |
Gender recognition from face images with deep learning Y Akbulut, A Şengür, S Ekici International Conference on Artificial Intelligence and Data Processing …, 2017 | 36 | 2017 |
Deep Feature Extraction for Face Liveness Detection A Şengür, Z Akhtar, Y Akbulut, S Ekici, Ü Budak International Conference on Artificial Intelligence and Data Processing …, 2018 | 34 | 2018 |
Food image classification with deep features A Şengür, Y Akbulut, Ü Budak 2019 international artificial intelligence and data processing symposium …, 2019 | 32 | 2019 |
DeepEMGNet: an application for efficient discrimination of ALS and normal EMG signals A Sengur, M Gedikpinar, Y Akbulut, E Deniz, V Bajaj, Y Guo Mechatronics 2017: Recent Technological and Scientific Advances, 619-625, 2018 | 32 | 2018 |
White blood cell classification based on shape and deep features A Şengür, Y Akbulut, Ü Budak, Z Cömert 2019 International Artificial Intelligence and Data Processing Symposium …, 2019 | 29 | 2019 |
Deep learning model for estimating the mechanical properties of concrete containing silica fume exposed to high temperatures H Tanyildizi, A Şengür, Y Akbulut, M Şahin Frontiers of Structural and Civil Engineering 14, 1316-1330, 2020 | 28 | 2020 |
An efficient image segmentation algorithm using neutrosophic graph cut Y Guo, Y Akbulut, A Şengür, R Xia, F Smarandache Symmetry 9 (9), 185, 2017 | 24 | 2017 |
Skeleton based efficient fall detection M Aslan, Y Akbulut, A Şengür, MC İnce Journal of the Faculty of Engineering and Architecture of Gazi University 32 (4), 2017 | 22* | 2017 |
An effective color texture image segmentation algorithm based on hermite transform Y Akbulut, Y Guo, A Şengür, M Aslan Applied Soft Computing 67, 494-504, 2018 | 20 | 2018 |
A new deep technique using R-CNN model and L1NSR feature selection for brain MRI classification F Demir, Y Akbulut Biomedical Signal Processing and Control 75, 103625, 2022 | 15 | 2022 |