Gülsen Taskin Kaya

According to our database, Gülsen Taskin Kaya authored at least 49 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

A Scalable Unsupervised Feature Selection With Orthogonal Graph Representation for Hyperspectral Images.

Gülsen Taskin, Emrullah Fatih Yetkin, Gustau Camps-Valls

IEEE Trans. Geosci. Remote. Sens., 2023

Explainable Artificial Intelligence for Cotton Yield Prediction With Multisource Data.

Mehmet Furkan Celik, Mustafa Serkan Isik, Gülsen Taskin, Esra Erten, Gustau Camps-Valls

IEEE Geosci. Remote. Sens. Lett., 2023

Explainable AI for Earth Observation: Current Methods, Open Challenges, and Opportunities.

Gülsen Taskin, Erchan Aptoula, Alp Ertürk

CoRR, 2023

There Are No Data Like More Data- Datasets for Deep Learning in Earth Observation.

Michael Schmitt, Seyed Ali Ahmadi, Yonghao Xu, Gülsen Taskin, Ujjwal Verma, Francescopaolo Sica, Ronny Hänsch

CoRR, 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

A Structural Damage Assessment Model Based on Deep Learning.

Gülsen Taskin Kaya, Hüseyin Kaya, Ö. T. Turan, Tolga Çinar, Alper Ilki

Proceedings of the 31st Signal Processing and Communications Applications Conference, 2023

Interpreting Hyperspectral Remote Sensing Image Classification Methods Via Explainable Artificial Intelligence.

Deren Ege Turan, Erchan Aptoula, Alp Ertürk, Gülsen Taskin

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Informative Earth Observation Variables for Cotton Yield Prediction Using Explainable Boosting Machine.

Mehmet Furkan Celik, Mustafa Serkan Isik, Esra Erten, Gülsen Taskin

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

Graph Embedding via High Dimensional Model Representation for Hyperspectral Images.

Gülsen Taskin, Gustau Camps-Valls

IEEE Trans. Geosci. Remote. Sens., 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

An earthquake damage identification approach from VHR image using mathematical morphology and machine learning.

Enes Oguzhan Alatas, Gülsen Taskin

Neural Comput. Appl., 2022

A Feature Selection Method via Graph Embedding and Global Sensitivity Analysis.

Gülsen Taskin

IEEE Geosci. Remote. Sens. Lett., 2022

A Model Distillation Approach for Explaining Black-Box Models for Hyperspectral Image Classification.

Gülsen Taskin

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021

A Novel GPR-Based Prediction Model for Cylic Backbone Curves of Reinforced Concrete Shear Walls.

Zeynep Tuna Deger, Gülsen Taskin Kaya

CoRR, 2021

Glass-box model representation of seismic failure mode prediction for conventional RC shear walls.

Zeynep Tuna Deger, Gülsen Taskin Kaya

CoRR, 2021

Machine Learning-Based Assessment of Energy Behavior of RC Shear Walls.

Berkay Topaloglu, Gülsen Taskin Kaya, Fatih Sutcu, Zeynep Tuna Deger

CoRR, 2021

Change Detection with Manifold Embedding for Hyperspectral Images.

Alp Ertürk, Gülsen Taskin

Proceedings of the 11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2021

The Added Value of Cycle-GAN for Agriculture Studies.

Ecre Sener, Emre Çolak, Esra Erten, Gülsen Taskin

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Feature Selection Using Self Organizing Map Oriented Evolutionary Approach.

Oguzhan Ceylan, Gülsen Taskin Kaya

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020

Manifold Learning with High Dimensional Model Representations.

Gülsen Taskin, Gustau Camps-Valls

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

An Out-of-Sample Extension to Manifold Learning via Meta-Modeling.

Gülsen Taskin Kaya, Melba M. Crawford

IEEE Trans. Image Process., 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

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

Optimization of Graph Affinity Matrix with Heuristic Methods in Dimensionality Reduction of Hypespectral Images.

Oguzhan Ceylan, Gülsen Taskin Kaya

Proceedings of the 27th Signal Processing and Communications Applications Conference, 2019

Graph Optimized Locality Preserving Projection Via Heuristic Optimization Algorithms.

Oguzhan Ceylan, Gülsen Taskin Kaya

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Attribute Profiles in Earthquake Damage Identification from Very High Resolution Post Event Image.

Enes Oguzhan Alatas, Gülsen Taskin

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Multi-Output Regressions For Estimating Canola Biophysical Parameters From PolSAR Data.

Zehra Meltem Sahin, Esra Erten, Gülsen Taskin Kaya

Proceedings of the 8th International Conference on Agro-Geoinformatics, 2019

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

Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

Active Manifold Learning for Hyperspectral Image Classification.

Zhou Zhang, Gülsen Taskin Kaya, Melba M. Crawford

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Global Sensitivity Analysis of Polarimetric Data to Retrieve Biophysical Parameters of Canola and Barley Crops.

Esra Erten, Gülsen Taskin Kaya, Juan M. Lopez-Sanchez

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017

Feature Selection Based on High Dimensional Model Representation for Hyperspectral Images.

Gülsen Taskin Kaya, Hüseyin Kaya, Lorenzo Bruzzone

IEEE Trans. Image Process., 2017

Extending out-of-sample manifold learning via meta-modelling techniques.

Gülsen Taskin Kaya, Melba M. Crawford

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

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

SVM parameter selection based on harmony search with an application to hyperspectral image classification.

Oguzhan Ceylan, Gülsen Taskin Kaya

Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

A comprehensive evaluation of feature selection algorithms in hyperspectral image classification.

Hamed G. Vijouyeh, Gülsen Taskin Kaya

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

A comparison of differential evolution and Harmony Search methods for SVM model selection in hyperspectral image classification.

Oguzhan Ceylan, Gülsen Taskin Kaya

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015

A comprehensive analysis of twin support vector machines in remote sensing image classification.

Gülsen Taskin

Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

CO-POLAR SAR data classification as a tool for real time paddy-rice monitoring.

Caglar Kucuk, Gülsen Taskin Kaya, Esra Erten

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

A novel method for feature selection with random sampling HDMR and its application to hyperspectral image classification.

Gülsen Taskin Kaya, Hüseyin Kaya, Lorenzo Bruzzone

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014

Optimization of SVM parameters using High Dimensional Model Representation and its application to hyperspectral images.

Gülsen Taskin Kaya, Hüseyin Kaya

Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014

Remote sensing image classification by non-parallel SVMs.

Caglar Kucuk, Yucel Torun, Gülsen Taskin Kaya

Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Recursive feature selection based on non-parallel SVMs and its application to hyperspectral image classification.

Gülsen Taskin Kaya, Yucel Torun, Caglar Kucuk

Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

2013

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

2012

Feature selection by high dimensional model representation and its application to remote sensing.

Gülsen Taskin Kaya, Hüseyin Kaya, Okan K. Ersoy

Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

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

PhD thesis, 2011

Support Vector Selection and Adaptation for Remote Sensing Classification.

Gülsen Taskin Kaya, Okan K. Ersoy, Mustafa E. Kamasak

IEEE Trans. Geosci. Remote. Sens., 2011

2010

Spectral and spatial classification of earthquake images by support vector selection and adaptation.

Gülsen Taskin Kaya, Okan K. Ersoy, Mustafa E. Kamasak

Proceedings of the Second International Conference of Soft Computing and Pattern Recognition, 2010

Hybrid SVM and SVSA method for classification of remote sensing images.

Gülsen Taskin Kaya, Okan K. Ersoy, Mustafa E. Kamasak

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

2009

Support Vector Selection and Adaptation for Classification of Earthquake Images.

Gülsen Taskin Kaya, Okan K. Ersoy, Mustafa E. Kamasak

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009