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Koray Açici
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2020 – today
- 2024
- [j7]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) - [j6]Begüm Sener, Koray Açici, Emre Sümer:
Categorization of Alzheimer's disease stages using deep learning approaches with McNemar's test. PeerJ Comput. Sci. 10: e1877 (2024) - [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
- [j5]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) - [j4]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) - 2021
- [b1]Koray Açici:
Derin öğrenme teknikleri kullanılarak kemik kırığı tespiti ve sınıflandırması (Bone fracture detection and classification using deep learning techniques). Başkent University, Turkey, 2021
2010 – 2019
- 2019
- [j3]Koray Açici, Tunç Asuroglu, Çagatay Berke Erdas, Hasan Ogul:
T4SS Effector Protein Prediction with Deep Learning. Data 4(1): 45 (2019) - 2018
- [j2]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
- [c5]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 - [c4]Koray Açici, Tunç Asuroglu, Hasan Ogul:
Information retrieval in metal music sub-genres. SIU 2017: 1-4 - 2016
- [c3]Çagatay Berke Erdas, Isil Atasoy, Koray Açici, Hasan Ogul:
Integrating Features for Accelerometer-based Activity Recognition. EUSPN/ICTH 2016: 522-527 - [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
- [j1]Koray Açici, Yunus Kasim Terzi, Hasan Ogul:
Retrieving relevant experiments: The case of microRNA microarrays. Biosyst. 134: 71-78 (2015) - [c1]Koray Açici, Hasan Ogul:
Comparison of similarity metrics in microarray experiment retrieval. SIU 2015: 927-930
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last updated on 2024-10-07 21:15 CEST by the dblp team
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