| Analysis of transfer learning for deep neural network based plant classification models A Kaya, AS Keceli, C Catal, HY Yalic, H Temucin, B Tekinerdogan Computers and electronics in agriculture 158, 20-29, 2019 | 493 | 2019 |
| A weighted rule based method for predicting malignancy of pulmonary nodules by nodule characteristics A Kaya, AB Can Journal of biomedical informatics 56, 69-79, 2015 | 61 | 2015 |
| Development of a recurrent neural networks-based calving prediction model using activity and behavioral data AS Keceli, C Catal, A Kaya, B Tekinerdogan Computers and Electronics in Agriculture 170, 105285, 2020 | 58 | 2020 |
| Violent activity detection with transfer learning method AS Keçeli, A Kaya Electronics Letters 53 (15), 1047-1048, 2017 | 57 | 2017 |
| Deep learning-based multi-task prediction system for plant disease and species detection AS Keceli, A Kaya, C Catal, B Tekinerdogan Ecological Informatics 69, 101679, 2022 | 55 | 2022 |
| Examination of various classification strategies in classification of lung nodule characteristics A Kaya, ALİ KEÇELİ, A CAN Journal of the Faculty of Engineering and Architecture of Gazi University 34 (2), 2019 | 36* | 2019 |
| Classification of radiolarian images with hand-crafted and deep features AS Keçeli, A Kaya, SU Keçeli Computers & Geosciences 109, 67-74, 2017 | 35 | 2017 |
| Cascaded classifiers and stacking methods for classification of pulmonary nodule characteristics A Kaya Computer methods and programs in biomedicine 166, 77-89, 2018 | 33 | 2018 |
| Sensor failure tolerable machine learning-based food quality prediction model A Kaya, AS Keçeli, C Catal, B Tekinerdogan Sensors 20 (11), 3173, 2020 | 32 | 2020 |
| Combining 2D and 3D deep models for action recognition with depth information AS Keceli, A Kaya, AB Can Signal, Image and Video Processing 12, 1197-1205, 2018 | 28 | 2018 |
| The impact of feature types, classifiers, and data balancing techniques on software vulnerability prediction models A Kaya, AS Keceli, C Catal, B Tekinerdogan Journal of Software: Evolution and Process 31 (9), e2164, 2019 | 18 | 2019 |
| Violent activity classification with transferred deep features and 3d-Cnn AS Keceli, A Kaya Signal, Image and Video Processing 17 (1), 139-146, 2023 | 10 | 2023 |
| Classification of radiolarian fossil images with deep learning methods AS Keçeli, SU Keçeli, A Kaya 2018 26th signal processing and communications applications conference (SIU …, 2018 | 10 | 2018 |
| Designing a pattern stabilization method using scleral blood vessels for laser eye surgery A Kaya, AB Can, HB Çakmak 2010 20th International Conference on Pattern Recognition, 698-701, 2010 | 10 | 2010 |
| Model analytics for defect prediction based on design-level metrics and sampling techniques A Kaya, AS Keçeli, C Catal, B Tekinerdogan Model Management and Analytics for Large Scale Systems, 125-139, 2020 | 9 | 2020 |
| A Comprehensive Survey on Deep-Learning-based Vehicle Re-Identification: Models, Data Sets and Challenges A Amiri, A Kaya, AS Keceli arXiv preprint arXiv:2401.10643, 2024 | 8 | 2024 |
| ADS-B Attack Classification using Machine Learning Techniques T Kacem, A Kaya, AS Keceli, C Catal, D Wijsekera, P Costa 2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops), 7-12, 2021 | 7 | 2021 |
| Cyclotorsion measurement using scleral blood vessels A Kaya, AS Keçeli, AB Can, HB Çakmak Computers in Biology and Medicine 87, 152-161, 2017 | 7 | 2017 |
| A GPU-Based approach for automatic segmentation of white matter lesions AS Keçeli, AB Can, A Kaya IETE Journal of Research 63 (4), 461-472, 2017 | 7 | 2017 |
| Action recognition with skeletal volume and deep learning AS Keçeli, A Kaya, AB Can 2017 25th Signal Processing and Communications Applications Conference (SIU …, 2017 | 7 | 2017 |
Ali Seydi KeçeliHacettepe UniversityBestätigte E-Mail-Adresse bei cs.hacettepe.edu.tr