Research output per year
Research output per year
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Dive into the research topics where Gülşen Taşkın Kaya is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Computer Vision for Earth Observation: The Second GRSS Image Analysis and Data Fusion School [Technical Committees]
Ullo, S. L., Vivone, G., Taskin, G., Hansch, R. & Verma, U., 1 Mar 2024, In: IEEE Geoscience and Remote Sensing Magazine. 12, 1, p. 195-198 and 204Research output: Contribution to journal › Article › peer-review
Open Access -
Machine Learning-Based Prediction of Seismic Failure Mode of Reinforced Concrete Structural Walls
Deger, Z. T. & Kaya, G. T., 2024, Proceedings of the 7th International Conference on Earthquake Engineering and Seismology - 7ICEES 2023. Uckan, E., Akgun, H., Gok, E. & Yenidogan, C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 499-507 9 p. (Lecture Notes in Civil Engineering; vol. 488 LNCE).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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A Scalable Unsupervised Feature Selection With Orthogonal Graph Representation for Hyperspectral Images
Taskin, G., Fatih Yetkin, E. & Camps-Valls, G., 2023, In: IEEE Transactions on Geoscience and Remote Sensing. 61, 5514913.Research output: Contribution to journal › Article › peer-review
4 Citations (Scopus) -
Betonarme perdelerde enerji sönümleme kapasitesinin meta-modelleme yöntemleriyle incelenmesi
Translated title of the contribution :Investigation of the energy dissipation capacity of RC shear walls using meta-modeling methods Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
Derin Öǧrenme Tabanli Yapisal Hasar Tespit Modeli
Translated title of the contribution :A Structural Damage Assessment Model Based on Deep Learning Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Evaluation of Modern Deep Learning Architectures in Remote Sensing Scene Classification
Taskin, G. & Kaya, H., 2023, Proceedings of 10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023. Institute of Electrical and Electronics Engineers Inc., (Proceedings of 10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Citation (Scopus) -
Machine learning-based predictive models for equivalent damping ratio of RC shear walls
Yaghoubi, S. T., Deger, Z. T., Taskin, G. & Sutcu, F., Jan 2023, In: Bulletin of Earthquake Engineering. 21, 1, p. 293-318 26 p.Research output: Contribution to journal › Article › peer-review
9 Citations (Scopus)
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Model Distillation Approach for Hyperspectral Image Classification
Kaya, G. T. (PI)
14/12/23 → 14/12/25
Project: Research › SRP
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Yeni Nesil Derin Öğrenme Tabanlı Otomatik Yapısal Hasar Tespit Sistemi
Kaya, G. T. (PI)
11/01/23 → 12/01/26
Project: Research › SRP
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Matematiksel Morfoloji ve Makine Öğrenmesi Yöntemleri ile Deprem Hasarının Uydu Görüntülerinden Tespit Edilmesi
Kaya, G. T. (PI)
1/02/23 → 1/08/23
Project: Research › SRP
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Hassasiyet Analizi Tabanlı Özgün Açıklanabilir Yapay Zeka Yöntemi ve Uzaktan Algılama Görüntüleri İçin Derin Öğrenme Modellerinde Kullanımı
Kaya, G. T. (PI)
1/11/22 → 1/11/24
Project: Research › TUBITAK
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Uzaktan Algılama Verilerinin Analizinde Açıklanabilir Yapay Zeka Teknikleri
Kaya, G. T. (PI)
17/10/22 → 17/10/23
Project: Research › SRP
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Yüksek Boyutlu Model Gösterilimi ve Çizge Tabanlı Öznitelik Seçimi Yöntemi
Kaya, G. T. (PI)
6/04/21 → 6/04/23
Project: Research › SRP
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Yüksek Boyutlu Model Gösterilimi Tabanlı Manifold Öğrenme Yöntemi
Kaya, G. T. (PI)
1/06/18 → 1/12/19
Project: Research › TUBITAK