Designing a Pattern Stabilization Method Using Scleral Blood Vessels for Laser Eye Surgery. - Aydin Kaya 001; Ahmet Burak Can; Hasan Basri Çakmak (ICPR, 2010)

The problems of public accessed computer laboratories and a suggestion for these problems' solution. - Erzurumlu Kerem; Aydin Kaya 001 (WCIT, 2011)

Characterization of lung nodules. - Aydin Kaya 001; Ahmet Burak Can (SIU, 2013)

eFis: A Fuzzy Inference Method for Predicting Malignancy of Small Pulmonary Nodules. - Aydin Kaya 001; Ahmet Burak Can (ICIAR (2), 2014)

Malignancy prediction by using characteristic-based fuzzy sets: A preliminary study. - Aydin Kaya 001; Ahmet Burak Can (FUZZ-IEEE, 2015)

A weighted rule based method for predicting malignancy of pulmonary nodules by nodule characteristics. - Aydin Kaya 001; Ahmet Burak Can (J. Biomed. Informatics, 2015)

Investigation of transfer learning on pulmonary nodule characteristics. - Aydin Kaya 001; Ali Seydi Keçeli; Ahmet Burak Can (SIU, 2017)

Action recognition with skeletal volume and deep learning. - Ali Seydi Keçeli; Aydin Kaya 001; Ahmet Burak Can (SIU, 2017)

Cyclotorsion measurement using scleral blood vessels. - Aydin Kaya 001; Ali Seydi Keçeli; Ahmet Burak Can; Hasan Basri Çakmak (Comput. Biol. Medicine, 2017)

Classification of radiolarian images with hand-crafted and deep features. - Ali Seydi Keçeli; Aydin Kaya 001; Seda Uzunçimen Keçeli (Comput. Geosci., 2017)

Classification of radiolarian fossil images with deep learning methods. - Ali Seydi Keçeli; Seda Uzunçimen Keçeli; Aydin Kaya 001 (SIU, 2018)

Depth features to recognise dyadic interactions. - Ali Seydi Keçeli; Aydin Kaya 001; Ahmet Burak Can (IET Comput. Vis., 2018)

Combining 2D and 3D deep models for action recognition with depth information. - Ali Seydi Keçeli; Aydin Kaya 001; Ahmet Burak Can (Signal Image Video Process., 2018)

Analysis of transfer learning for deep neural network based plant classification models. - Aydin Kaya 001; Ali Seydi Keçeli; Cagatay Catal; Hamdi Yalin Yalic; Hüseyin Temuçin; Bedir Tekinerdogan (Comput. Electron. Agric., 2019)

The impact of feature types, classifiers, and data balancing techniques on software vulnerability prediction models. - Aydin Kaya 001; Ali Seydi Keçeli; Cagatay Catal; Bedir Tekinerdogan (J. Softw. Evol. Process., 2019)

Development of a recurrent neural networks-based calving prediction model using activity and behavioral data. - Ali Seydi Keçeli; Cagatay Catal; Aydin Kaya 001; Bedir Tekinerdogan (Comput. Electron. Agric., 2020)

Sensor Failure Tolerable Machine Learning-Based Food Quality Prediction Model. - Aydin Kaya 001; Ali Seydi Keçeli; Cagatay Catal; Bedir Tekinerdogan (Sensors, 2020)

ADS-B Attack Classification using Machine Learning Techniques. - Thabet Kacem; Aydin Kaya 001; Ali Seydi Keçeli; Cagatay Catal; Duminda Wijesekera; Paulo Costa 003 (IV Workshops, 2021)

Deep learning-based multi-task prediction system for plant disease and species detection. - Ali Seydi Keçeli; Aydin Kaya 001; Cagatay Catal; Bedir Tekinerdogan (Ecol. Informatics, 2022)

Violent activity classification with transferred deep features and 3d-Cnn. - Ali Seydi Keçeli; Aydin Kaya 001 (Signal Image Video Process., 2023)

A Comprehensive Survey on Deep-Learning-based Vehicle Re-Identification: Models, Data Sets and Challenges. - Ali Amiri; Aydin Kaya 001; Ali Seydi Keçeli (CoRR, 2024)