| Image classification with caffe deep learning framework E Cengil, A Çınar, E Özbay 2017 International Conference on Computer Science and Engineering (UBMK …, 2017 | 58 | 2017 |
| A deep learning based approach to lung cancer identification E Cengil, A Cinar 2018 International conference on artificial intelligence and data processing …, 2018 | 57 | 2018 |
| A GPU-based convolutional neural network approach for image classification E Cengil, A Çinar, Z Güler 2017 International Artificial Intelligence and Data Processing Symposium …, 2017 | 41 | 2017 |
| Multiple classification of flower images using transfer learning E Cengıl, A Çinar 2019 International Artificial Intelligence and Data Processing Symposium …, 2019 | 39 | 2019 |
| A NEW APPROACH FOR IMAGE CLASSIFICATION: CONVOLUTIONAL NEURAL NETWORK E Cengil, A Çınar EUROPEAN JOURNAL OF TECHNIC (EJT) 6 (2), 96-103, 2016 | 39 | 2016 |
| Poisonous mushroom detection using YOLOV5 E Cengil, A Çınar Turkish Journal of Science and Technology 16 (1), 119-127, 2021 | 30 | 2021 |
| COVID-19 detection on chest X-ray images with the proposed model using artificial intelligence and classifiers M Yildirim, O Eroğlu, Y Eroğlu, A Çinar, E Cengil New Generation Computing 40 (4), 1077-1091, 2022 | 27 | 2022 |
| A hybrid approach for efficient multi‐classification of white blood cells based on transfer learning techniques and traditional machine learning methods E Cengil, A Çınar, M Yıldırım Concurrency and Computation: Practice and Experience 34 (6), e6756, 2022 | 21 | 2022 |
| The effect of deep feature concatenation in the classification problem: an approach on COVID‐19 disease detection E Cengil, A Çınar International journal of imaging systems and technology 32 (1), 26-40, 2022 | 20 | 2022 |
| A case study: Cat-dog face detector based on YOLOv5 E Cengil, A Çinar, M Yildirim 2021 International Conference on Innovation and Intelligence for Informatics …, 2021 | 17 | 2021 |
| Hybrid convolutional neural network based classification of bacterial, viral, and fungal diseases on tomato leaf images E Cengil, A Çınar Concurrency and Computation: Practice and Experience 34 (4), e6617, 2022 | 16 | 2022 |
| Comparison of HOG (Histogram of Oriented Gradients) and Haar Cascade Algorithms with A Convolutional Neural Network Based Face Detection Approach E Cengil, A Çınar IJARIIT (International Journal of Advance Research, Ideas and Innovations in …, 2017 | 16 | 2017 |
| Prediction of maternal health risk with traditional machine learning methods HB Mutlu, F Durmaz, N Yücel, E Cengil, M Yıldırım Naturengs 4 (1), 16-23, 2023 | 11 | 2023 |
| Automatic classification of particles in the urine sediment test with the developed artificial intelligence-based hybrid model M Yildirim, H Bingol, E Cengil, S Aslan, M Baykara Diagnostics 13 (7), 1299, 2023 | 10 | 2023 |
| Göğüs verileri metrikleri üzerinden kanser sınıflandırılması E Cengil, A Çınar Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi 11 (2), 513-519, 2020 | 10 | 2020 |
| Hybrid convolutional neural network architectures for skin cancer classification E Cengil, A Çınar, M Yıldırım Avrupa Bilim Ve Teknoloji Dergisi, 694-701, 2021 | 9 | 2021 |
| Detection and classification of glioma, meningioma, pituitary tumor, and normal in brain magnetic resonance imaging using deep learning-based hybrid model M Yildirim, E Cengil, Y Eroglu, A Cinar Iran Journal of Computer Science 6 (4), 455-464, 2023 | 8 | 2023 |
| Classification of human driving behaviour images using convolutional neural network architecture E Cengil, A Cinar Hybrid Artificial Intelligent Systems: 14th International Conference, HAIS …, 2019 | 7 | 2019 |
| Classification of the weather images with the proposed hybrid model using deep learning, SVM classifier, and mRMR feature selection methods M Yildirim, A Çinar, E CengIl Geocarto International 37 (9), 2735-2745, 2022 | 6 | 2022 |
| Diagnosis of chronic kidney disease based on CNN and LSTM EN Yildiz, E Cengil, M Yildirim, H Bingol Acadlore transactions on ai and machine learning 2 (2), 66-74, 2023 | 5 | 2023 |
