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Books and Theses
- 2021
[b1]Göksu Tüysüzoglu:
Data mining and machine learning in environmental informatics (Çevresel enformatikte veri madenciliği ve makine öğrenmesi). Dokuz Eylül University, Turkey, 2021
Journal Articles
- 2022
- [j4]Göksu Tüysüzoglu, Derya Birant
, Volkan Kiranoglu:
Temporal bagging: a new method for time-based ensemble learning. Turkish J. Electr. Eng. Comput. Sci. 30(1): 279-294 (2022) - [j3]Göksu Tüysüzoglu, Derya Birant, Volkan Kiranoglu:
Multi-view multi-depth soil temperature prediction (MV-MD-STP): a new approach using machine learning and time series methods. Int. J. Intell. Eng. Informatics 10(1): 74-104 (2022) - 2020
- [j2]Göksu Tüysüzoglu, Derya Birant:
Enhanced Bagging (eBagging): A Novel Approach for Ensemble Learning. Int. Arab J. Inf. Technol. 17(4): 515-528 (2020) - 2018
- [j1]Göksu Tüysüzoglu, Yusuf Yaslan:
Sparse coding based classifier ensembles in supervised and active learning scenarios for data classification. Expert Syst. Appl. 91: 364-373 (2018)
Conference and Workshop Papers
- 2017
- [c2]Göksu Tüysüzoglu, Yusuf Yaslan:
Biomedical data classification using supervised classifiers and ensemble based dictionaries. SIU 2017: 1-4 - 2016
- [c1]Göksu Tüysüzoglu, Yusuf Yaslan:
Data classification using sparse coding based active learning. SIU 2016: 701-704
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