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Gülsen Taskin Kaya
Person information
- affiliation: Istanbul Technical University, Earthquake Engineering and Disaster Management Institute, Turkey
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2020 – today
- 2024
- [j14]Yuheng Liu
, Ye Wang
Cross-City Semantic Segmentation (C2Seg) in Multimodal Remote Sensing: Outcome of the 2023 IEEE WHISPERS C2Seg Challenge. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 8851-8862 (2024) - [c30]Taraneh Saadati, Gülsen Taskin:
A Sensitivity-Based Explainable Method For Remote Sensing Scene Classification. IGARSS 2024: 3026-3029 - 2023
- [j13]Mehmet Furkan Celik
Explainable Artificial Intelligence for Cotton Yield Prediction With Multisource Data. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j12]Gülsen Taskin
A Scalable Unsupervised Feature Selection With Orthogonal Graph Representation for Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [c29]Mehmet Furkan Celik, Mustafa Serkan Isik, Esra Erten, Gülsen Taskin:
Informative Earth Observation Variables for Cotton Yield Prediction Using Explainable Boosting Machine. IGARSS 2023: 3542-3545 - [c28]Deren Ege Turan, Erchan Aptoula, Alp Ertürk, Gülsen Taskin:
Interpreting Hyperspectral Remote Sensing Image Classification Methods Via Explainable Artificial Intelligence. IGARSS 2023: 5950-5953 - [c27]Gülsen Taskin Kaya, Hüseyin Kaya, Ö. T. Turan, Tolga Çinar, Alper Ilki:
A Structural Damage Assessment Model Based on Deep Learning. SIU 2023: 1-4 - [i7]Zeynep Tuna Deger, Gülsen Taskin Kaya, John W. Wallace:
Estimate Deformation Capacity of Non-Ductile RC Shear Walls using Explainable Boosting Machine. CoRR abs/2301.04652 (2023) - [i6]Michael Schmitt, Seyed Ali Ahmadi, Yonghao Xu, Gülsen Taskin, Ujjwal Verma, Francescopaolo Sica, Ronny Hänsch:
There Are No Data Like More Data- Datasets for Deep Learning in Earth Observation. CoRR abs/2310.19231 (2023) - [i5]Gülsen Taskin, Erchan Aptoula, Alp Ertürk:
Explainable AI for Earth Observation: Current Methods, Open Challenges, and Opportunities. CoRR abs/2311.04491 (2023) - 2022
- [j11]Gülsen Taskin
A Feature Selection Method via Graph Embedding and Global Sensitivity Analysis. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j10]Zeynep Tuna Deger
Glass-box model representation of seismic failure mode prediction for conventional reinforced concrete shear walls. Neural Comput. Appl. 34(15): 13029-13041 (2022) - [j9]Enes Oguzhan Alatas
An earthquake damage identification approach from VHR image using mathematical morphology and machine learning. Neural Comput. Appl. 34(21): 18757-18771 (2022) - [j8]Gülsen Taskin
Graph Embedding via High Dimensional Model Representation for Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-11 (2022) - [c26]Gülsen Taskin:
A Model Distillation Approach for Explaining Black-Box Models for Hyperspectral Image Classification. IGARSS 2022: 3592-3595 - 2021
- [c25]Oguzhan Ceylan, Gülsen Taskin Kaya:
Feature Selection Using Self Organizing Map Oriented Evolutionary Approach. IGARSS 2021: 4003-4006 - [c24]Ecre Sener, Emre Çolak, Esra Erten
The Added Value of Cycle-GAN for Agriculture Studies. IGARSS 2021: 7039-7042 - [c23]Alp Ertürk, Gülsen Taskin:
Change Detection with Manifold Embedding for Hyperspectral Images. WHISPERS 2021: 1-4 - [i4]Berkay Topaloglu, Gülsen Taskin Kaya, Fatih Sutcu, Zeynep Tuna Deger:
Machine Learning-Based Assessment of Energy Behavior of RC Shear Walls. CoRR abs/2111.08295 (2021) - [i3]Zeynep Tuna Deger, Gülsen Taskin Kaya:
Glass-box model representation of seismic failure mode prediction for conventional RC shear walls. CoRR abs/2111.13580 (2021) - [i2]Zeynep Tuna Deger, Gülsen Taskin Kaya:
A Novel GPR-Based Prediction Model for Cylic Backbone Curves of Reinforced Concrete Shear Walls. CoRR abs/2111.13605 (2021) - [i1]Gülsen Taskin, Gustau Camps-Valls:
Graph Embedding via High Dimensional Model Representation for Hyperspectral Images. CoRR abs/2111.14680 (2021) - 2020
- [c22]Gülsen Taskin, Gustau Camps-Valls:
Manifold Learning with High Dimensional Model Representations. IGARSS 2020: 1675-1678
2010 – 2019
- 2019
- [j7]Esra Erten
Selection of PolSAR Observables for Crop Biophysical Variable Estimation With Global Sensitivity Analysis. IEEE Geosci. Remote. Sens. Lett. 16(5): 766-770 (2019) - [j6]Gülsen Taskin Kaya, Oguzhan Ceylan
An Adaptive Affinity Matrix Optimization for Locality Preserving Projection via Heuristic Methods for Hyperspectral Image Analysis. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(12): 4690-4697 (2019) - [j5]Gülsen Taskin Kaya, Melba M. Crawford:
An Out-of-Sample Extension to Manifold Learning via Meta-Modeling. IEEE Trans. Image Process. 28(10): 5227-5237 (2019) - [c21]Zehra Meltem Sahin, Esra Erten
Multi-Output Regressions For Estimating Canola Biophysical Parameters From PolSAR Data. Agro-Geoinformatics 2019: 1-4 - [c20]Oguzhan Ceylan, Gülsen Taskin Kaya:
Graph Optimized Locality Preserving Projection Via Heuristic Optimization Algorithms. IGARSS 2019: 3065-3068 - [c19]Enes Oguzhan Alatas
Attribute Profiles in Earthquake Damage Identification from Very High Resolution Post Event Image. IGARSS 2019: 9299-9302 - [c18]Oguzhan Ceylan
Optimization of Graph Affinity Matrix with Heuristic Methods in Dimensionality Reduction of Hypespectral Images. SIU 2019: 1-4 - 2018
- [c17]Zhou Zhang, Gülsen Taskin Kaya, Melba M. Crawford:
Active Manifold Learning for Hyperspectral Image Classification. IGARSS 2018: 2587-2590 - [c16]Esra Erten
Global Sensitivity Analysis of Polarimetric Data to Retrieve Biophysical Parameters of Canola and Barley Crops. IGARSS 2018: 3836-3839 - [c15]Z. Meltem Sahin, Esra Erten
Using single-and multi-target regression to estimate biophysical parameters of crops. SIU 2018: 1-4 - 2017
- [j4]Gülsen Taskin Kaya, Hüseyin Kaya
Feature Selection Based on High Dimensional Model Representation for Hyperspectral Images. IEEE Trans. Image Process. 26(6): 2918-2928 (2017) - [c14]Gülsen Taskin Kaya, Melba M. Crawford:
Extending out-of-sample manifold learning via meta-modelling techniques. IGARSS 2017: 562-565 - 2016
- [j3]Caglar Kucuk, Gülsen Taskin Kaya, Esra Erten
Paddy-Rice Phenology Classification Based on Machine-Learning Methods Using Multitemporal Co-Polar X-Band SAR Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(6): 2509-2519 (2016) - [c13]Oguzhan Ceylan
A comparison of differential evolution and Harmony Search methods for SVM model selection in hyperspectral image classification. IGARSS 2016: 485-488 - [c12]Hamed G. Vijouyeh, Gülsen Taskin Kaya:
A comprehensive evaluation of feature selection algorithms in hyperspectral image classification. IGARSS 2016: 489-492 - [c11]Oguzhan Ceylan
SVM parameter selection based on harmony search with an application to hyperspectral image classification. SIU 2016: 657-660 - 2015
- [c10]Gülsen Taskin Kaya, Hüseyin Kaya
A novel method for feature selection with random sampling HDMR and its application to hyperspectral image classification. IGARSS 2015: 1108-1111 - [c9]Caglar Kucuk, Gülsen Taskin Kaya, Esra Erten
CO-POLAR SAR data classification as a tool for real time paddy-rice monitoring. IGARSS 2015: 4141-4144 - [c8]Gülsen Taskin:
A comprehensive analysis of twin support vector machines in remote sensing image classification. SIU 2015: 2427-2429 - 2014
- [c7]Caglar Kucuk, Yucel Torun, Gülsen Taskin Kaya:
Remote sensing image classification by non-parallel SVMs. IGARSS 2014: 1269-1272 - [c6]Gülsen Taskin Kaya, Yucel Torun, Caglar Kucuk:
Recursive feature selection based on non-parallel SVMs and its application to hyperspectral image classification. IGARSS 2014: 3558-3561 - [c5]Gülsen Taskin Kaya, Hüseyin Kaya
Optimization of SVM parameters using High Dimensional Model Representation and its application to hyperspectral images. SIU 2014: 642-645 - 2013
- [j2]Gülsen Taskin Kaya:
A Hybrid Model for Classification of Remote Sensing Images With Linear SVM and Support Vector Selection and Adaptation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 6(4): 1988-1997 (2013) - 2012
- [c4]Gülsen Taskin Kaya, Hüseyin Kaya
Feature selection by high dimensional model representation and its application to remote sensing. IGARSS 2012: 4938-4941 - 2011
- [b1]Gülsen Taskin Kaya:
Support Vector Selection and Adaptation and Its Application to Earthquake Damage Assessment (Destek Vektör Seçimi ve Uyarlaması ve Deprem Hasar Tespit Uygulamaları). İstanbul Technical University, Turkey, 2011 - [j1]Gülsen Taskin Kaya, Okan K. Ersoy, Mustafa E. Kamasak
Support Vector Selection and Adaptation for Remote Sensing Classification. IEEE Trans. Geosci. Remote. Sens. 49(6-1): 2071-2079 (2011) - 2010
- [c3]Gülsen Taskin Kaya, Okan K. Ersoy, Mustafa E. Kamasak:
Hybrid SVM and SVSA method for classification of remote sensing images. IGARSS 2010: 2828-2831 - [c2]Gülsen Taskin Kaya, Okan K. Ersoy, Mustafa E. Kamasak:
Spectral and spatial classification of earthquake images by support vector selection and adaptation. SoCPaR 2010: 194-197
2000 – 2009
- 2009
- [c1]Gülsen Taskin Kaya, Okan K. Ersoy, Mustafa E. Kamasak:
Support Vector Selection and Adaptation for Classification of Earthquake Images. IGARSS (2) 2009: 851-854
Coauthor Index
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