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2020 – today
- 2024
[j11]Oguzhan Uymaz
, Bahaeddin Turkoglu, Ersin Kaya, Tunç Asuroglu:
A Novel Diversity Guided Galactic Swarm Optimization With Feedback Mechanism. IEEE Access 12: 108154-108175 (2024)- [j10]Mehmet Serdar Güzel, Mürüvvet Kalkan, Erkan Bostanci, Koray Açici, Tunç Asuroglu:
Cloud type classification using deep learning with cloud images. PeerJ Comput. Sci. 10: e1779 (2024) - [c7]Mustafa Kemal Arslantas, Tunç Asuroglu, Reyhan Arslantas, Emin Pashazade, Pelin Corman Dincer, Gulbin Tore Altun, Alper Kararmaz:
Using Machine Learning Methods to Predict the Lactate Trend of Sepsis Patients in the ICU. NCDHWS (2) 2024: 3-16 - [c6]Nabid Faiem, Tunç Asuroglu, Koray Açici, Antti Kallonen, Mark J. van Gils:
Assessment of Parkinson's Disease Severity Using Gait Data: A Deep Learning-Based Multimodal Approach. NCDHWS (2) 2024: 29-48 - 2023
- [j9]Sifa Özsari, Fatima Rabia Yapicioglu, Dilek Yilmaz, Kivanç Kamburoglu, Mehmet Serdar Güzel, Gazi Erkan Bostanci, Koray Açici, Tunç Asuroglu:
Interpretation of Magnetic Resonance Images of Temporomandibular Joint Disorders by Using Deep Learning. IEEE Access 11: 49102-49113 (2023) - [j8]Taner Çevik, Nazife Cevik, Jawad Rasheed, Tunç Asuroglu, Shtwai Alsubai, Mehmet Turan:
Reversible Logic-Based Hexel Value Differencing - A Spatial Domain Steganography Method for Hexagonal Image Processing. IEEE Access 11: 118186-118203 (2023) - [j7]Erkan Bostanci, Engin Kocak, Metehan Unal, Mehmet Serdar Güzel, Koray Açici, Tunç Asuroglu:
Machine Learning Analysis of RNA-seq Data for Diagnostic and Prognostic Prediction of Colon Cancer. Sensors 23(6): 3080 (2023) - [j6]Caner Bozkurt, Tunç Asuroglu:
Mortality Prediction of Various Cancer Patients via Relevant Feature Analysis and Machine Learning. SN Comput. Sci. 4(3): 264 (2023) - 2022
- [j5]Tunç Asuroglu:
Complex Human Activity Recognition Using a Local Weighted Approach. IEEE Access 10: 101207-101219 (2022) - 2021
- [j4]Tunç Asuroglu, Hasan Ogul:
A deep learning approach for sepsis monitoring via severity score estimation. Comput. Methods Programs Biomed. 198: 105816 (2021) - 2020
- [b1]Tunç Asuroglu:
Giyilebilir sensörlerle sağlık izleme (Health monitoring via wearable sensors). Başkent University, Turkey, 2020 - [j3]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
- [j2]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
- [j1]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
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