Ali Seydi Keçeli

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 17

Top Topics

Prediction Model

Depth Information

Action Recognition

Top Venues

Comput. Electron. Agric.

Signal Image Video Process.

Int. J. Pattern Recognit. Artif. Intell.

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)
Kaan Aktürk, Ali Seydi Keçeli
Deep operational audio-visual emotion recognition. Neurocomputing 588 (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)
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
Viewpoint projection based deep feature learning for single and dyadic action recognition. Expert Syst. Appl. 104 (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)
Ali Seydi Keçeli, Ahmet Burak Can
Low Latency Action Recognition with Depth Information. VISIGRAPP (4: VISAPP) (2016)
Ali Seydi Keçeli, Ahmet Burak Can
Recognition of Basic Human Actions using Depth Information. Int. J. Pattern Recognit. Artif. Intell. 28 (2) (2014)
Ali Seydi Keçeli, Ahmet Burak Can
Action recognition based on feature extraction from time series. SIU (2014)
Ali Seydi Keçeli, Ahmet Burak Can
A Multimodal Approach for Recognizing Human Actions Using Depth Information. ICPR (2014)
Ali Seydi Keçeli, Ahmet Burak Can
Recognition of human actions by using depth information. SIU (2013)
N. Yesiloglu-Gultekin, Ali Seydi Keçeli, Ebru Akcapinar Sezer, Ahmet Burak Can, Candan Gokceoglu, H. Bayhan
A computer program (TSecSoft) to determine mineral percentages using photographs obtained from thin sections. Comput. Geosci. 46 (2012)
Ali Seydi Keçeli, Erzurumlu Kerem
Characteristic usage of Turkish internet users in office environment. WCIT (2011)