| 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 | 487 | 2019 |
| Development of a recurrent neural networks-based calving prediction model using activity and behavioral data AS Keçeli, Ç Çatal, A Kaya, B Tekinerdoğan Computers and Electronics in Agriculture Volume, 2020 | 56 | 2020 |
| Violent activity detection with transfer learning method AS Keceli, A Kaya Electronics Letters 53 (15), 1047-1048, 2017 | 56 | 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 | 53 | 2022 |
| A computer program (TSecSoft) to determine mineral percentages using photographs obtained from thin sections N Yesiloglu-Gultekin, AS Keceli, EA Sezer, AB Can, C Gokceoglu, ... Computers & Geosciences 46, 310-316, 2012 | 45 | 2012 |
| 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 | 34 | 2017 |
| Sensor failure tolerable machine learning-based food quality prediction model A Kaya, AS Keçeli, C Catal, B Tekinerdogan Sensors 20 (11), 3173, 2020 | 31 | 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 |
| Recognition of basic human actions using depth information AS Keceli, AB Can International Journal of Pattern Recognition and Artificial Intelligence 28 …, 2014 | 19 | 2014 |
| 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, e2164, 2019 | 18 | 2019 |
| Viewpoint projection based deep feature learning for single and dyadic action recognition AS Keceli Expert Systems with Applications 104, 235-243, 2018 | 16 | 2018 |
| 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 |
| A multimodal approach for recognizing human actions using depth information AS Keceli, AB Can 2014 22nd International Conference on Pattern Recognition, 421-426, 2014 | 10 | 2014 |
| 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 | 9 | 2021 |
| 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 |
| Model Management and Analytics for Large Scale Systems B Tekinerdogan, Ö Babur, L Cleophas, M van den Brand, M Aksit Academic Press, 2019 | 9 | 2019 |
| 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 |
| 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 |
Aydin KayaHacettepe University, Department of Computer EngineeringEmail được xác minh tại cs.hacettepe.edu.tr