Ensemble Based Feature Selection With Hybrid Model
IEEE 29th Signal Processing and Communications Applications Conference (SIU) 2021, İstanbul/TÜRKİYE, 9 Haziran 2021
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Ensemble Feature Selection for Sentiment and Semantic Analysis
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Feature selection by machine learning models to identify the public’s changing priorities during the COVID-19 pandemic
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A Feature Selection Method via Graph Embedding and Global Sensitivity Analysis
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Feature Selection Using Self Organizing Map Oriented Evolutionary Approach
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 11 Temmuz 2021
CEYLAN OĞUZHAN, TAŞKIN KAYA GÜLŞEN
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Sequential forward feature selection for facial expression recognition
2016 24th Signal Processing and Communication Application Conference (SIU), Zonguldak/TÜRKİYE, 16 Mayıs 2016
GACAV CANER,BENLİGİRAY BURAK,TOPAL CİHAN
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Comparison of feature selection and extraction methods and active learning in voice based emotion recognition systems
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2018
TOLGA ATALAY
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Investigating the effect of different feature selection strategies for classification of gene expression signatures of tumor cells
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2017
ABUBAKHARI SSERWADDA
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Orthogonality based feature selection for ai applications
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2024
MEHMET SELAHADDİN ŞENTOP
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An experimental analysis of feature selection algorithms in hyperspectral image classification
Bilişim Enstitüsü, İstanbul Teknik Üniversitesi, 2017
HAMED GHOLAMI VIJOUYEH
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Ensemble based feature selection with hybrid model
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2019
CEYLAN DEMİR
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An Optimal PMU Placement Scheme for Early Prediction of Transient Instabilities in Power Systems
2019 7th International Istanbul Smart Grids and Cities Congress and Fair (ICSG), 25 Nisan 2019, s. 184-188
KESİCİ MERT,SANER CAN BERK,MAHDİ MOHAMMED,YASLAN YUSUF,GENÇ VEYSEL MURAT İSTEMİHAN
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A novel method for feature selection with random sampling HDMR and its application to hyperspectral image classification
2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Milan, Italy/TÜRKİYE, 26 Temmuz 2015
TAŞKIN KAYA GÜLŞEN,KAYA HÜSEYİN,LORENZO BRUZZONE
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A comprehensive analysis of earthquake damage patterns using high dimensional model representation feature selection
SPIE Remote Sensing:Image and Signal Processing for Remote Sensing, Vol. 8892, 23 Eylül 2013
TAŞKIN KAYA GÜLŞEN
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Recursive feature selection based on non parallel SVMs and its application to hyperspectral image classification
2014 IEEE Geoscience and Remote Sensing Symposium, Quebec City, QC/TÜRKİYE, 13 Temmuz 2014
TAŞKIN KAYA GÜLŞEN,TORUN YÜCEL,KÜÇÜK ÇAĞLAR
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A comprehensive evaluation of feature selection algorithms in hyperspectral image classification
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 10 Temmuz 2016
VİJOUYEH HAMED,TAŞKIN KAYA GÜLŞEN
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Feature selection by high dimensional model representation and its application to remote sensing
2012 IEEE International Geoscience and Remote Sensing Symposium, Munich, Germany/ALMANYA, 22 Temmuz 2012, s. 4938-4941
TAŞKIN KAYA GÜLŞEN,HUSEYİN KAYA,OKAN K ERSOY
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Autonomous Cell Feature Selection by Machine Learning
American Society of Cell Biology ASCB|EMBO Meeting, Washington, D.C./AMERİKA BİRLEŞİK DEVLETLERİ, 3 Aralık 2022
TİRYAKİ VOLKAN MÜJDAT, AYRES VIRGINIA M, AHMED IJAZ, SHREIBER DAVID I
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A Novel Feature Selection Method for the Dynamic Security Assessment of Power Systems Based on Multi-Layer Perceptrons
International Journal of Intelligent Systems and Applications in Engineering, Vol. 1, No. 6, Mart 2018, s. 53-58, ISSN: 2147-6799
BEYRANVAND PEYMAN,KÜÇÜKTEZCAN CAVİT FATİH,ÇATALTEPE ZEHRA,GENÇ VEYSEL MURAT İSTEMİHAN
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Explainable Artificial Intelligence for Cotton Yield Prediction With Multisource Data
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, Vol. 20, Ocak 2023, s. 5-5, ISSN: 1545-598X
ÇELİK MEHMET FURKAN, IŞIK MUSTAFA SERKAN, TAŞKIN KAYA GÜLŞEN, ERTEN ESRA, CAMPS-VALLS GUSTAU
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