Characteristic usage of Turkish internet users in office environment. - Ali Seydi Keçeli; Erzurumlu Kerem (WCIT, 2011)

A computer program (TSecSoft) to determine mineral percentages using photographs obtained from thin sections. - N. Yesiloglu-Gultekin; Ali Seydi Keçeli; Ebru Akcapinar Sezer; Ahmet Burak Can; Candan Gokceoglu; H. Bayhan (Comput. Geosci., 2012)

Recognition of human actions by using depth information. - Ali Seydi Keçeli; Ahmet Burak Can (SIU, 2013)

A Multimodal Approach for Recognizing Human Actions Using Depth Information. - Ali Seydi Keçeli; Ahmet Burak Can (ICPR, 2014)

Action recognition based on feature extraction from time series. - Ali Seydi Keçeli; Ahmet Burak Can (SIU, 2014)

Recognition of Basic Human Actions using Depth Information. - Ali Seydi Keçeli; Ahmet Burak Can (Int. J. Pattern Recognit. Artif. Intell., 2014)

Derinlik bilgisi kullanılarak insan hareketlerinin tanınması (Recognition of human actions using depth information) - Ali Seydi Keçeli (2014)

Low Latency Action Recognition with Depth Information. - Ali Seydi Keçeli; Ahmet Burak Can (VISIGRAPP (4: VISAPP), 2016)

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)

Viewpoint projection based deep feature learning for single and dyadic action recognition. - Ali Seydi Keçeli (Expert Syst. Appl., 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)

Deep operational audio-visual emotion recognition. - Kaan Aktürk; Ali Seydi Keçeli (Neurocomputing, 2024)