Ali Seydi Keçeli

Neurocomputing, 2024

A Comprehensive Survey on Deep-Learning-based Vehicle Re-Identification: Models, Data Sets and Challenges.

[BibT_eX]

[DOI]

Ali Amiri

CoRR, 2024

2023

Violent activity classification with transferred deep features and 3d-Cnn.

[BibT_eX]

[DOI]

Signal Image Video Process., February, 2023

2022

Deep learning-based multi-task prediction system for plant disease and species detection.

[BibT_eX]

[DOI]

Ecol. Informatics, 2022

2021

ADS-B Attack Classification using Machine Learning Techniques.

[BibT_eX]

[DOI]

Proceedings of the IEEE Intelligent Vehicles Symposium Workshops, 2021

2020

Sensor Failure Tolerable Machine Learning-Based Food Quality Prediction Model.

[BibT_eX]

[DOI]

Sensors, 2020

Development of a recurrent neural networks-based calving prediction model using activity and behavioral data.

[BibT_eX]

[DOI]

Comput. Electron. Agric., 2020

2019

The impact of feature types, classifiers, and data balancing techniques on software vulnerability prediction models.

[BibT_eX]

[DOI]

J. Softw. Evol. Process., 2019

Analysis of transfer learning for deep neural network based plant classification models.

[BibT_eX]

[DOI]

Comput. Electron. Agric., 2019

2018

Combining 2D and 3D deep models for action recognition with depth information.

[BibT_eX]

[DOI]

Signal Image Video Process., 2018

Depth features to recognise dyadic interactions.

[BibT_eX]

[DOI]

IET Comput. Vis., 2018

Viewpoint projection based deep feature learning for single and dyadic action recognition.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2018

Classification of radiolarian fossil images with deep learning methods.

[BibT_eX]

[DOI]

Seda Uzunçimen Keçeli

Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

2017

Classification of radiolarian images with hand-crafted and deep features.

[BibT_eX]

[DOI]

Seda Uzunçimen Keçeli

Comput. Geosci., 2017

Cyclotorsion measurement using scleral blood vessels.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, 2017

Action recognition with skeletal volume and deep learning.

[BibT_eX]

[DOI]

Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

Investigation of transfer learning on pulmonary nodule characteristics.

[BibT_eX]

[DOI]

Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

2016

Low Latency Action Recognition with Depth Information.

[BibT_eX]

[DOI]

Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016), 2016

2014

Derinlik bilgisi kullanılarak insan hareketlerinin tanınması (Recognition of human actions using depth information)

[BibT_eX]

[DOI]

PhD thesis, 2014

Recognition of Basic Human Actions using Depth Information.

[BibT_eX]

[DOI]

Int. J. Pattern Recognit. Artif. Intell., 2014

Action recognition based on feature extraction from time series.

[BibT_eX]

[DOI]

Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014

A Multimodal Approach for Recognizing Human Actions Using Depth Information.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013

Recognition of human actions by using depth information.

[BibT_eX]

[DOI]

Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

2012

A computer program (TSecSoft) to determine mineral percentages using photographs obtained from thin sections.

[BibT_eX]

[DOI]

N. Yesiloglu-Gultekin

Comput. Geosci., 2012

2011

Characteristic usage of Turkish internet users in office environment.

[BibT_eX]

[DOI]