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ORCIDAydin Kaya 0001
Person information
- affiliation: Cankaya University, Ankara, Turkey
Other persons with the same name
- Aydin Kaya 0002 — Bilkent University, Ankara, Turkey
- Aydin Kaya 0003 — Hacettepe University, Ankara, Turkey
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2020 – today
- 2024
[i1]Ali Amiri, Aydin Kaya, Ali Seydi Keçeli:
A Comprehensive Survey on Deep-Learning-based Vehicle Re-Identification: Models, Data Sets and Challenges. CoRR abs/2401.10643 (2024)- 2023
- [j11]Ali Seydi Keçeli
, Aydin Kaya:
Violent activity classification with transferred deep features and 3d-Cnn. Signal Image Video Process. 17(1): 139-146 (2023) - 2022
- [j10]Ali Seydi Keçeli, Aydin Kaya, Cagatay Catal, Bedir Tekinerdogan:
Deep learning-based multi-task prediction system for plant disease and species detection. Ecol. Informatics 69: 101679 (2022) - 2021
- [c9]Thabet Kacem, Aydin Kaya, Ali Seydi Keçeli, Cagatay Catal, Duminda Wijesekera, Paulo Costa:
ADS-B Attack Classification using Machine Learning Techniques. IV Workshops 2021: 7-12 - 2020
- [j9]Ali Seydi Keçeli, Cagatay Catal, Aydin Kaya, Bedir Tekinerdogan:
Development of a recurrent neural networks-based calving prediction model using activity and behavioral data. Comput. Electron. Agric. 170: 105285 (2020) - [j8]Aydin Kaya, Ali Seydi Keçeli, Cagatay Catal, Bedir Tekinerdogan:
Sensor Failure Tolerable Machine Learning-Based Food Quality Prediction Model. Sensors 20(11): 3173 (2020)
2010 – 2019
- 2019
- [j7]Aydin Kaya, Ali Seydi Keçeli, Cagatay Catal, Hamdi Yalin Yalic, Hüseyin Temuçin, Bedir Tekinerdogan:
Analysis of transfer learning for deep neural network based plant classification models. Comput. Electron. Agric. 158: 20-29 (2019) - [j6]Aydin Kaya, Ali Seydi Keçeli, Cagatay Catal, Bedir Tekinerdogan:
The impact of feature types, classifiers, and data balancing techniques on software vulnerability prediction models. J. Softw. Evol. Process. 31(9) (2019) - 2018
- [j5]Ali Seydi Keçeli, Aydin Kaya, Ahmet Burak Can:
Depth features to recognise dyadic interactions. IET Comput. Vis. 12(3): 331-339 (2018) - [j4]Ali Seydi Keçeli, Aydin Kaya, Ahmet Burak Can:
Combining 2D and 3D deep models for action recognition with depth information. Signal Image Video Process. 12(6): 1197-1205 (2018) - [c8]Ali Seydi Keçeli, Seda Uzunçimen Keçeli, Aydin Kaya:
Classification of radiolarian fossil images with deep learning methods. SIU 2018: 1-4 - 2017
- [j3]Aydin Kaya, Ali Seydi Keçeli, Ahmet Burak Can, Hasan Basri Çakmak:
Cyclotorsion measurement using scleral blood vessels. Comput. Biol. Medicine 87: 152-161 (2017) - [j2]Ali Seydi Keçeli, Aydin Kaya, Seda Uzunçimen Keçeli:
Classification of radiolarian images with hand-crafted and deep features. Comput. Geosci. 109: 67-74 (2017) - [c7]Aydin Kaya, Ali Seydi Keçeli, Ahmet Burak Can:
Investigation of transfer learning on pulmonary nodule characteristics. SIU 2017: 1-4 - [c6]Ali Seydi Keçeli, Aydin Kaya, Ahmet Burak Can:
Action recognition with skeletal volume and deep learning. SIU 2017: 1-4 - 2015
- [j1]Aydin Kaya, Ahmet Burak Can:
A weighted rule based method for predicting malignancy of pulmonary nodules by nodule characteristics. J. Biomed. Informatics 56: 69-79 (2015) - [c5]Aydin Kaya, Ahmet Burak Can:
Malignancy prediction by using characteristic-based fuzzy sets: A preliminary study. FUZZ-IEEE 2015: 1-6 - 2014
- [c4]Aydin Kaya, Ahmet Burak Can:
eFis: A Fuzzy Inference Method for Predicting Malignancy of Small Pulmonary Nodules. ICIAR (2) 2014: 255-262 - 2013
- [c3]Aydin Kaya, Ahmet Burak Can:
Characterization of lung nodules. SIU 2013: 1-4 - 2011
- [c2]Erzurumlu Kerem, Aydin Kaya:
The problems of public accessed computer laboratories and a suggestion for these problems' solution. WCIT 2011: 1520-1526 - 2010
- [c1]Aydin Kaya, Ahmet Burak Can, Hasan Basri Çakmak:
Designing a Pattern Stabilization Method Using Scleral Blood Vessels for Laser Eye Surgery. ICPR 2010: 698-701
Coauthor Index
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