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Ali Seydi Keçeli
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2020 – today
- 2024
- [j14]Kaan Aktürk, Ali Seydi Keçeli:
Deep operational audio-visual emotion recognition. Neurocomputing 588: 127713 (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
- [j13]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
- [j12]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
- [j11]Ali Seydi Keçeli, Cagatay Catal
Development of a recurrent neural networks-based calving prediction model using activity and behavioral data. Comput. Electron. Agric. 170: 105285 (2020) - [j10]Aydin Kaya
Sensor Failure Tolerable Machine Learning-Based Food Quality Prediction Model. Sensors 20(11): 3173 (2020)
2010 – 2019
- 2019
- [j9]Aydin Kaya, Ali Seydi Keçeli, Cagatay Catal
Analysis of transfer learning for deep neural network based plant classification models. Comput. Electron. Agric. 158: 20-29 (2019) - [j8]Aydin Kaya
The impact of feature types, classifiers, and data balancing techniques on software vulnerability prediction models. J. Softw. Evol. Process. 31(9) (2019) - 2018
- [j7]Ali Seydi Keçeli:
Viewpoint projection based deep feature learning for single and dyadic action recognition. Expert Syst. Appl. 104: 235-243 (2018) - [j6]Ali Seydi Keçeli, Aydin Kaya, Ahmet Burak Can:
Depth features to recognise dyadic interactions. IET Comput. Vis. 12(3): 331-339 (2018) - [j5]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
- [j4]Aydin Kaya, Ali Seydi Keçeli, Ahmet Burak Can, Hasan Basri Çakmak
Cyclotorsion measurement using scleral blood vessels. Comput. Biol. Medicine 87: 152-161 (2017) - [j3]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 - 2016
- [c5]Ali Seydi Keçeli, Ahmet Burak Can:
Low Latency Action Recognition with Depth Information. VISIGRAPP (4: VISAPP) 2016: 590-596 - 2014
- [b1]Ali Seydi Keçeli:
Derinlik bilgisi kullanılarak insan hareketlerinin tanınması (Recognition of human actions using depth information). Hacettepe University, Turkey, 2014 - [j2]Ali Seydi Keçeli, Ahmet Burak Can:
Recognition of Basic Human Actions using Depth Information. Int. J. Pattern Recognit. Artif. Intell. 28(2) (2014) - [c4]Ali Seydi Keçeli, Ahmet Burak Can:
A Multimodal Approach for Recognizing Human Actions Using Depth Information. ICPR 2014: 421-426 - [c3]Ali Seydi Keçeli, Ahmet Burak Can:
Action recognition based on feature extraction from time series. SIU 2014: 485-488 - 2013
- [c2]Ali Seydi Keçeli, Ahmet Burak Can:
Recognition of human actions by using depth information. SIU 2013: 1-4 - 2012
- [j1]N. Yesiloglu-Gultekin, Ali Seydi Keçeli, Ebru Akcapinar Sezer
A computer program (TSecSoft) to determine mineral percentages using photographs obtained from thin sections. Comput. Geosci. 46: 310-316 (2012) - 2011
- [c1]Ali Seydi Keçeli, Erzurumlu Kerem:
Characteristic usage of Turkish internet users in office environment. WCIT 2011: 809-812
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last updated on 2024-10-07 21:22 CEST by the dblp team
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