| 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 | 370 | 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 | 58 | 2015 |
| Violent activity detection with transfer learning method AS Keçeli, A Kaya Electronics Letters 53 (15), 1047-1048, 2017 | 45 | 2017 |
| 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 | 36 | 2020 |
| 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 | 30* | 2019 |
| Cascaded classifiers and stacking methods for classification of pulmonary nodule characteristics A Kaya Computer Methods and Programs in Biomedicine 166, 77-89, 2018 | 29 | 2018 |
| Classification of radiolarian images with hand-crafted and deep features AS Keçeli, A Kaya, SU Keçeli Computers & Geosciences 109, 67-74, 2017 | 27 | 2017 |
| 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 | 26 | 2018 |
| 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 | 23 | 2022 |
| Sensor failure tolerable machine learning-based food quality prediction model A Kaya, AS Keçeli, C Catal, B Tekinerdogan Sensors 20 (11), 3173, 2020 | 21 | 2020 |
| 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 | 11 | 2019 |
| 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 |
| Action recognition with skeletal volume and deep learning AS Keçeli, A Kaya, AB Can 2017 25th Signal Processing and Communications Applications Conference (SIU …, 2017 | 8 | 2017 |
| On-board driver assistance system for lane departure warning and vehicle detection HY Yalıç, AS Keceli, A Kaya | 7 | 2013 |
| 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 | 7 | 2010 |
| 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 | 6 | 2018 |
| 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 | 6 | 2017 |
| eFis: A Fuzzy Inference Method for Predicting Malignancy of Small Pulmonary Nodules A Kaya, AB Can Image Analysis and Recognition: 11th International Conference, ICIAR 2014 …, 2014 | 6 | 2014 |
| Depth features to recognise dyadic interactions AS Keçeli, A Kaya, AB Can IET Computer Vision 12 (3), 331-339, 2018 | 5 | 2018 |
| Video görüntülerinde şiddet içeren aktivitelerin LSTM ağı ile tespiti AS Keçeli, K Aydın Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi 21 …, 2019 | 4 | 2019 |
Ali Seydi KeçeliHacettepe UniversityVerified email at cs.hacettepe.edu.tr
