Aydin Kaya

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 17

Top Topics

Prediction Model

Action Recognition

Recurrent Neural Networks

Top Venues

Comput. Electron. Agric.

Signal Image Video Process.

Publications

Ali Amiri, Aydin Kaya, Ali Seydi Keçeli
A Comprehensive Survey on Deep-Learning-based Vehicle Re-Identification: Models, Data Sets and Challenges. CoRR (2024)
Ali Seydi Keçeli, Aydin Kaya
Violent activity classification with transferred deep features and 3d-Cnn. Signal Image Video Process. 17 (1) (2023)
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 (2022)
Thabet Kacem, Aydin Kaya, Ali Seydi Keceli, Cagatay Catal, Duminda Wijesekera, Paulo Costa
ADS-B Attack Classification using Machine Learning Techniques. IV Workshops (2021)
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 (2020)
Aydin Kaya, Ali Seydi Keçeli, Cagatay Catal, Bedir Tekinerdogan
Sensor Failure Tolerable Machine Learning-Based Food Quality Prediction Model. Sensors 20 (11) (2020)
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)
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 (2019)
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) (2018)
Ali Seydi Keçeli, Aydin Kaya, Ahmet Burak Can
Depth features to recognise dyadic interactions. IET Comput. Vis. 12 (3) (2018)
Ali Seydi Keçeli, Seda Uzunçimen Keçeli, Aydin Kaya
Classification of radiolarian fossil images with deep learning methods. SIU (2018)
Aydin Kaya, Ali Seydi Keçeli, Ahmet Burak Can
Investigation of transfer learning on pulmonary nodule characteristics. SIU (2017)
Ali Seydi Keçeli, Aydin Kaya, Ahmet Burak Can
Action recognition with skeletal volume and deep learning. SIU (2017)
Aydin Kaya, Ali Seydi Keçeli, Ahmet Burak Can, Hasan Basri Çakmak
Cyclotorsion measurement using scleral blood vessels. Comput. Biol. Medicine 87 (2017)
Ali Seydi Keçeli, Aydin Kaya, Seda Uzunçimen Keçeli
Classification of radiolarian images with hand-crafted and deep features. Comput. Geosci. 109 (2017)
Aydin Kaya, Ahmet Burak Can
Malignancy prediction by using characteristic-based fuzzy sets: A preliminary study. FUZZ-IEEE (2015)
Aydin Kaya, Ahmet Burak Can
A weighted rule based method for predicting malignancy of pulmonary nodules by nodule characteristics. J. Biomed. Informatics 56 (2015)
Aydin Kaya, Ahmet Burak Can
eFis: A Fuzzy Inference Method for Predicting Malignancy of Small Pulmonary Nodules. ICIAR (2) (2014)
Aydin Kaya, Ahmet Burak Can
Characterization of lung nodules. SIU (2013)
Erzurumlu Kerem, Aydin Kaya
The problems of public accessed computer laboratories and a suggestion for these problems' solution. WCIT (2011)
Aydin Kaya, Ahmet Burak Can, Hasan Basri Çakmak
Designing a Pattern Stabilization Method Using Scleral Blood Vessels for Laser Eye Surgery. ICPR (2010)