Support Vector Selection and Adaptation for Classification of Earthquake Images. - Gülsen Taskin Kaya; Okan K. Ersoy; Mustafa E. Kamasak (IGARSS (2), 2009)

Hybrid SVM and SVSA method for classification of remote sensing images. - Gülsen Taskin Kaya; Okan K. Ersoy; Mustafa E. Kamasak (IGARSS, 2010)

Spectral and spatial classification of earthquake images by support vector selection and adaptation. - Gülsen Taskin Kaya; Okan K. Ersoy; Mustafa E. Kamasak (SoCPaR, 2010)

Support Vector Selection and Adaptation for Remote Sensing Classification. - Gülsen Taskin Kaya; Okan K. Ersoy; Mustafa E. Kamasak (IEEE Trans. Geosci. Remote. Sens., 2011)

Support Vector Selection and Adaptation and Its Application to Earthquake Damage Assessment (Destek Vektör Seçimi ve Uyarlaması ve Deprem Hasar Tespit Uygulamaları) - Gülsen Taskin Kaya (2011)

Feature selection by high dimensional model representation and its application to remote sensing. - Gülsen Taskin Kaya; Hüseyin Kaya; Okan K. Ersoy (IGARSS, 2012)

A Hybrid Model for Classification of Remote Sensing Images With Linear SVM and Support Vector Selection and Adaptation. - Gülsen Taskin Kaya (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013)

Recursive feature selection based on non-parallel SVMs and its application to hyperspectral image classification. - Gülsen Taskin Kaya; Yucel Torun; Caglar Kucuk (IGARSS, 2014)

Remote sensing image classification by non-parallel SVMs. - Caglar Kucuk; Yucel Torun; Gülsen Taskin Kaya (IGARSS, 2014)

Optimization of SVM parameters using High Dimensional Model Representation and its application to hyperspectral images. - Gülsen Taskin Kaya; Hüseyin Kaya (SIU, 2014)

A novel method for feature selection with random sampling HDMR and its application to hyperspectral image classification. - Gülsen Taskin Kaya; Hüseyin Kaya; Lorenzo Bruzzone (IGARSS, 2015)

CO-POLAR SAR data classification as a tool for real time paddy-rice monitoring. - Caglar Kucuk; Gülsen Taskin Kaya; Esra Erten (IGARSS, 2015)

A comprehensive analysis of twin support vector machines in remote sensing image classification. - Gülsen Taskin 001 (SIU, 2015)

A comparison of differential evolution and Harmony Search methods for SVM model selection in hyperspectral image classification. - Oguzhan Ceylan; Gülsen Taskin Kaya (IGARSS, 2016)

A comprehensive evaluation of feature selection algorithms in hyperspectral image classification. - Hamed G. Vijouyeh; Gülsen Taskin Kaya (IGARSS, 2016)

SVM parameter selection based on harmony search with an application to hyperspectral image classification. - Oguzhan Ceylan; Gülsen Taskin Kaya (SIU, 2016)

Paddy-Rice Phenology Classification Based on Machine-Learning Methods Using Multitemporal Co-Polar X-Band SAR Images. - Caglar Kucuk; Gülsen Taskin Kaya; Esra Erten (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Extending out-of-sample manifold learning via meta-modelling techniques. - Gülsen Taskin Kaya; Melba M. Crawford (IGARSS, 2017)

Feature Selection Based on High Dimensional Model Representation for Hyperspectral Images. - Gülsen Taskin Kaya; Hüseyin Kaya; Lorenzo Bruzzone (IEEE Trans. Image Process., 2017)

Global Sensitivity Analysis of Polarimetric Data to Retrieve Biophysical Parameters of Canola and Barley Crops. - Esra Erten; Gülsen Taskin Kaya; Juan M. Lopez-Sanchez (IGARSS, 2018)

Active Manifold Learning for Hyperspectral Image Classification. - Zhou Zhang 001; Gülsen Taskin Kaya; Melba M. Crawford (IGARSS, 2018)

Using single-and multi-target regression to estimate biophysical parameters of crops. - Z. Meltem Sahin; Esra Erten; Nebiye Musaoglu; Deniz Ekin Canbay; Gülsen Taskin Kaya (SIU, 2018)

Multi-Output Regressions For Estimating Canola Biophysical Parameters From PolSAR Data. - Zehra Meltem Sahin; Esra Erten; Gülsen Taskin Kaya (Agro-Geoinformatics, 2019)

Attribute Profiles in Earthquake Damage Identification from Very High Resolution Post Event Image. - Enes Oguzhan Alatas; Gülsen Taskin 001 (IGARSS, 2019)

Graph Optimized Locality Preserving Projection Via Heuristic Optimization Algorithms. - Oguzhan Ceylan; Gülsen Taskin Kaya (IGARSS, 2019)

Optimization of Graph Affinity Matrix with Heuristic Methods in Dimensionality Reduction of Hypespectral Images. - Oguzhan Ceylan; Gülsen Taskin Kaya (SIU, 2019)

Selection of PolSAR Observables for Crop Biophysical Variable Estimation With Global Sensitivity Analysis. - Esra Erten; Gülsen Taskin Kaya; Juan M. Lopez-Sanchez (IEEE Geosci. Remote. Sens. Lett., 2019)

An Adaptive Affinity Matrix Optimization for Locality Preserving Projection via Heuristic Methods for Hyperspectral Image Analysis. - Gülsen Taskin Kaya; Oguzhan Ceylan (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

An Out-of-Sample Extension to Manifold Learning via Meta-Modeling. - Gülsen Taskin Kaya; Melba M. Crawford (IEEE Trans. Image Process., 2019)

Manifold Learning with High Dimensional Model Representations. - Gülsen Taskin 001; Gustau Camps-Valls (IGARSS, 2020)

Feature Selection Using Self Organizing Map Oriented Evolutionary Approach. - Oguzhan Ceylan; Gülsen Taskin Kaya (IGARSS, 2021)

The Added Value of Cycle-GAN for Agriculture Studies. - Ecre Sener; Emre Çolak; Esra Erten; Gülsen Taskin 001 (IGARSS, 2021)

Change Detection with Manifold Embedding for Hyperspectral Images. - Alp Ertürk; Gülsen Taskin 001 (WHISPERS, 2021)

Machine Learning-Based Assessment of Energy Behavior of RC Shear Walls. - Berkay Topaloglu; Gülsen Taskin Kaya; Fatih Sutcu; Zeynep Tuna Deger (CoRR, 2021)

Glass-box model representation of seismic failure mode prediction for conventional RC shear walls. - Zeynep Tuna Deger; Gülsen Taskin Kaya (CoRR, 2021)

A Novel GPR-Based Prediction Model for Cylic Backbone Curves of Reinforced Concrete Shear Walls. - Zeynep Tuna Deger; Gülsen Taskin Kaya (CoRR, 2021)

A Model Distillation Approach for Explaining Black-Box Models for Hyperspectral Image Classification. - Gülsen Taskin 001 (IGARSS, 2022)

A Feature Selection Method via Graph Embedding and Global Sensitivity Analysis. - Gülsen Taskin 001 (IEEE Geosci. Remote. Sens. Lett., 2022)

An earthquake damage identification approach from VHR image using mathematical morphology and machine learning. - Enes Oguzhan Alatas; Gülsen Taskin 001 (Neural Comput. Appl., 2022)

Glass-box model representation of seismic failure mode prediction for conventional reinforced concrete shear walls. - Zeynep Tuna Deger; Gülsen Taskin Kaya (Neural Comput. Appl., 2022)

Graph Embedding via High Dimensional Model Representation for Hyperspectral Images. - Gülsen Taskin 001; Gustau Camps-Valls (IEEE Trans. Geosci. Remote. Sens., 2022)

Informative Earth Observation Variables for Cotton Yield Prediction Using Explainable Boosting Machine. - Mehmet Furkan Celik; Mustafa Serkan Isik; Esra Erten; Gülsen Taskin 001 (IGARSS, 2023)

Interpreting Hyperspectral Remote Sensing Image Classification Methods Via Explainable Artificial Intelligence. - Deren Ege Turan; Erchan Aptoula; Alp Ertürk; Gülsen Taskin 001 (IGARSS, 2023)

A Structural Damage Assessment Model Based on Deep Learning. - Gülsen Taskin Kaya; Hüseyin Kaya; Ö. T. Turan; Tolga Çinar; Alper Ilki (SIU, 2023)

Estimate Deformation Capacity of Non-Ductile RC Shear Walls using Explainable Boosting Machine. - Zeynep Tuna Deger; Gülsen Taskin Kaya; John W. Wallace (CoRR, 2023)

There Are No Data Like More Data- Datasets for Deep Learning in Earth Observation. - Michael Schmitt 003; Seyed Ali Ahmadi; Yonghao Xu; Gülsen Taskin 001; Ujjwal Verma; Francescopaolo Sica; Ronny Hänsch (CoRR, 2023)

Explainable AI for Earth Observation: Current Methods, Open Challenges, and Opportunities. - Gülsen Taskin 001; Erchan Aptoula; Alp Ertürk (CoRR, 2023)

Explainable Artificial Intelligence for Cotton Yield Prediction With Multisource Data. - Mehmet Furkan Celik; Mustafa Serkan Isik; Gülsen Taskin 001; Esra Erten; Gustau Camps-Valls (IEEE Geosci. Remote. Sens. Lett., 2023)

A Scalable Unsupervised Feature Selection With Orthogonal Graph Representation for Hyperspectral Images. - Gülsen Taskin 001; Emrullah Fatih Yetkin; Gustau Camps-Valls (IEEE Trans. Geosci. Remote. Sens., 2023)

A Sensitivity-Based Explainable Method For Remote Sensing Scene Classification. - Taraneh Saadati; Gülsen Taskin 001 (IGARSS, 2024)

Cross-City Semantic Segmentation (C2Seg) in Multimodal Remote Sensing: Outcome of the 2023 IEEE WHISPERS C2Seg Challenge. - Yuheng Liu; Ye Wang 020; Yifan Zhang 006; Shaohui Mei; Jiaqi Zou; Zhuohong Li; Fangxiao Lu; Wei He 003; Hongyan Zhang 001; Huilin Zhao; Chuan Chen; Cong Xia; et al. (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)