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2020 – today
- 2021
[j3]Tunç Asuroglu, Hasan Ogul:
A deep learning approach for sepsis monitoring via severity score estimation. Comput. Methods Programs Biomed. 198: 105816 (2021)- 2020
- [j2]Alejandro Baldominos
, Adráan Puello, Hasan Ogul, Tunç Asuroglu, Ricardo Colomo Palacios:
Predicting Infections Using Computational Intelligence - A Systematic Review. IEEE Access 8: 31083-31102 (2020)
2010 – 2019
- 2019
- [j1]Koray Açici, Tunç Asuroglu, Çagatay Berke Erdas, Hasan Ogul:
T4SS Effector Protein Prediction with Deep Learning. Data 4(1): 45 (2019) - [c5]Hasan Ogul, Alejandro Baldominos, Tunç Asuroglu, Ricardo Colomo Palacios:
On Computer-Aided Prognosis of Septic Shock from Vital Signs. CBMS 2019: 87-92 - 2018
- [d1]Koray Açici, Çagatay Berke Erdas, Tunç Asuroglu, Hasan Ogul:
HANDY: A Benchmark Dataset for Context-Awareness via Wrist-Worn Motion Sensors. Data 3(3): 24 (2018) - 2017
- [c4]Koray Açici, Çagatay Berke Erdas, Tunç Asuroglu, Münire Kilinç Toprak, Hamit Erdem, Hasan Ogul:
A Random Forest Method to Detect Parkinson's Disease via Gait Analysis. EANN 2017: 609-619 - [c3]Koray Açici, Tunç Asuroglu, Hasan Ogul:
Information retrieval in metal music sub-genres. SIU 2017: 1-4 - 2016
- [c2]Tunç Asuroglu, Koray Açici, Çagatay Berke Erdas, Hasan Ogul:
Texture of Activities: Exploiting Local Binary Patterns for Accelerometer Data Analysis. SITIS 2016: 135-138 - 2015
- [c1]Tunç Asuroglu, Emre Sümer:
Performance analysis of spatial and frequency domain filtering in high resolution images. SIU 2015: 935-938
Coauthor Index
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