Çagatay Berke Erdas

Orcid: 0000-0003-3467-9923

According to our database1, Çagatay Berke Erdas authored at least 12 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of five.

Timeline

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PhD thesis 
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Bibliography

2023
Neurodegenerative diseases detection and grading using gait dynamics.
Multim. Tools Appl., June, 2023

A fully automated approach involving neuroimaging and deep learning for Parkinson's disease detection and severity prediction.
PeerJ Comput. Sci., 2023

2022
Makine öğrenmesi teknikleri kullanılarak nörodejeneratif hastalık tespiti ve derecelendirmesi (Neurodegenerative disease detection and rating using machine learning techniques)
PhD thesis, 2022

A Deep Learning Method to Detect Parkinson's Disease from MRI Slices.
SN Comput. Sci., 2022

2021
Human Activity Recognition by Using Different Deep Learning Approaches for Wearable Sensors.
Neural Process. Lett., 2021

Neurodegenerative disease detection and severity prediction using deep learning approaches.
Biomed. Signal Process. Control., 2021

2019
T4SS Effector Protein Prediction with Deep Learning.
Data, 2019

A Deep LSTM Approach for Activity Recognition.
Proceedings of the 42nd International Conference on Telecommunications and Signal Processing, 2019

2018
HANDY: A Benchmark Dataset for Context-Awareness via Wrist-Worn Motion Sensors.
Data, 2018

2017
A Random Forest Method to Detect Parkinson's Disease via Gait Analysis.
Proceedings of the Engineering Applications of Neural Networks, 2017

2016
Texture of Activities: Exploiting Local Binary Patterns for Accelerometer Data Analysis.
Proceedings of the 12th International Conference on Signal-Image Technology & Internet-Based Systems, 2016

Integrating Features for Accelerometer-based Activity Recognition.
Proceedings of the 7th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2016)/The 6th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2016)/Affiliated Workshops, 2016


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