Gülsen Taskin Kaya

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 25

Top Topics

Locality Preserving

Manifold Learning

Image Classification

Top Venues

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.

Publications

Yuheng Liu, Ye Wang, Yifan Zhang, Shaohui Mei, Jiaqi Zou, Zhuohong Li, Fangxiao Lu, Wei He, Hongyan Zhang, Huilin Zhao, Chuan Chen, Cong Xia, Hao Li, Gemine Vivone, Ronny Hänsch, Gülsen Taskin Kaya, Jing Yao, A. Kai Qin, Bing Zhang, Jocelyn Chanussot, Danfeng Hong
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 (2024)
Zeynep Tuna Deger, Gülsen Taskin Kaya, John W. Wallace
Estimate Deformation Capacity of Non-Ductile RC Shear Walls using Explainable Boosting Machine. CoRR (2023)
Gülsen Taskin Kaya, Hüseyin Kaya, Ö. T. Turan, Tolga Çinar, Alper Ilki
A Structural Damage Assessment Model Based on Deep Learning. SIU (2023)
Zeynep Tuna Deger, Gülsen Taskin Kaya
Glass-box model representation of seismic failure mode prediction for conventional reinforced concrete shear walls. Neural Comput. Appl. 34 (15) (2022)
Zeynep Tuna Deger, Gülsen Taskin Kaya
A Novel GPR-Based Prediction Model for Cylic Backbone Curves of Reinforced Concrete Shear Walls. CoRR (2021)
Oguzhan Ceylan, Gülsen Taskin Kaya
Feature Selection Using Self Organizing Map Oriented Evolutionary Approach. IGARSS (2021)
Zeynep Tuna Deger, Gülsen Taskin Kaya
Glass-box model representation of seismic failure mode prediction for conventional RC shear walls. CoRR (2021)
Berkay Topaloglu, Gülsen Taskin Kaya, Fatih Sutcu, Zeynep Tuna Deger
Machine Learning-Based Assessment of Energy Behavior of RC Shear Walls. CoRR (2021)
Gülsen Taskin Kaya, Melba M. Crawford
An Out-of-Sample Extension to Manifold Learning via Meta-Modeling. IEEE Trans. Image Process. 28 (10) (2019)
Esra Erten, Gülsen Taskin Kaya, Juan M. Lopez-Sanchez
Selection of PolSAR Observables for Crop Biophysical Variable Estimation With Global Sensitivity Analysis. IEEE Geosci. Remote. Sens. Lett. 16 (5) (2019)
Zehra Meltem Sahin, Esra Erten, Gülsen Taskin Kaya
Multi-Output Regressions For Estimating Canola Biophysical Parameters From PolSAR Data. Agro-Geoinformatics (2019)
Oguzhan Ceylan, Gülsen Taskin Kaya
Graph Optimized Locality Preserving Projection Via Heuristic Optimization Algorithms. IGARSS (2019)
Oguzhan Ceylan, Gülsen Taskin Kaya
Optimization of Graph Affinity Matrix with Heuristic Methods in Dimensionality Reduction of Hypespectral Images. SIU (2019)
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) (2019)
Esra Erten, Gülsen Taskin Kaya, Juan M. Lopez-Sanchez
Global Sensitivity Analysis of Polarimetric Data to Retrieve Biophysical Parameters of Canola and Barley Crops. IGARSS (2018)
Zhou Zhang, Gülsen Taskin Kaya, Melba M. Crawford
Active Manifold Learning for Hyperspectral Image Classification. IGARSS (2018)
Z. Meltem Sahin, Esra Erten, Nebiye Musaoglu, D. Ekin Canbay, Gülsen Taskin Kaya
Using single-and multi-target regression to estimate biophysical parameters of crops. SIU (2018)
Gülsen Taskin Kaya, Melba M. Crawford
Extending out-of-sample manifold learning via meta-modelling techniques. IGARSS (2017)
Gülsen Taskin Kaya, Hüseyin Kaya, Lorenzo Bruzzone
Feature Selection Based on High Dimensional Model Representation for Hyperspectral Images. IEEE Trans. Image Process. 26 (6) (2017)
Oguzhan Ceylan, Gülsen Taskin Kaya
A comparison of differential evolution and Harmony Search methods for SVM model selection in hyperspectral image classification. IGARSS (2016)
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) (2016)
Oguzhan Ceylan, Gülsen Taskin Kaya
SVM parameter selection based on harmony search with an application to hyperspectral image classification. SIU (2016)
Hamed G. Vijouyeh, Gülsen Taskin Kaya
A comprehensive evaluation of feature selection algorithms in hyperspectral image classification. IGARSS (2016)
Caglar Kucuk, Gülsen Taskin Kaya, Esra Erten
CO-POLAR SAR data classification as a tool for real time paddy-rice monitoring. IGARSS (2015)
Gülsen Taskin Kaya, Hüseyin Kaya, Lorenzo Bruzzone
A novel method for feature selection with random sampling HDMR and its application to hyperspectral image classification. IGARSS (2015)
Gülsen Taskin Kaya, Yucel Torun, Caglar Kucuk
Recursive feature selection based on non-parallel SVMs and its application to hyperspectral image classification. IGARSS (2014)
Caglar Kucuk, Yucel Torun, Gülsen Taskin Kaya
Remote sensing image classification by non-parallel SVMs. IGARSS (2014)
Gülsen Taskin Kaya, Hüseyin Kaya
Optimization of SVM parameters using High Dimensional Model Representation and its application to hyperspectral images. SIU (2014)
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) (2013)
Gülsen Taskin Kaya, Hüseyin Kaya, Okan K. Ersoy
Feature selection by high dimensional model representation and its application to remote sensing. IGARSS (2012)
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) (2011)
Gülsen Taskin Kaya, Okan K. Ersoy, Mustafa E. Kamasak
Spectral and spatial classification of earthquake images by support vector selection and adaptation. SoCPaR (2010)
Gülsen Taskin Kaya, Okan K. Ersoy, Mustafa E. Kamasak
Hybrid SVM and SVSA method for classification of remote sensing images. IGARSS (2010)
Gülsen Taskin Kaya, Okan K. Ersoy, Mustafa E. Kamasak
Support Vector Selection and Adaptation for Classification of Earthquake Images. IGARSS (2) (2009)