SVM Model Selection by High Dimensional Model Representation
IEEE International Geosciences andRemote Sensing Symposium (IGARSS’13), 21 Temmuz 2013
TAŞKIN KAYA GÜLŞEN,KAYA HUSEYIN,OKAN K ERSOY
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Patlatma kaynaklı yer sarsıntısı tahmininde uyarlamalı bulanık çıkarım sistemi (ANFIS), destek vektör makineleri (SVM) ve gauss süreç regresyonu (GPR) tekniklerinin kullanımı
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2023
YAŞAR AĞAN
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Breast cancer data classification using SVM, NB and KNN algorithms
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2019
BURCU MERAL
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Markovian encoding models in human splice site recognition using SVM
COMPUTATIONAL BIOLOGY AND CHEMISTRY, Vol. 73, No. 4, Nisan 2018, s. 159-170, ISSN: 1476-9271
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Comparative Study of Hyperspectral Imagery Classification with SVM and Ensemble Machine Learning Methods
6th Intercontinental Geoinformation Days (IGD), Bakü/AZERBAYCAN, 13 Haziran 2023
ATİK ŞAZİYE ÖZGE
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Splice site identification in human genome using random forest
HEALTH AND TECHNOLOGY, Vol. 7, No. 1, 2017, s. 141-152, ISSN: 2190-7188
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RBF SVM-Based Stress Wave Tomography for Non-Destructive Tree Defect Detection
3th International Graduate Research Symposium (IGRS), İstanbul/TÜRKİYE, 8 Mayıs 2024
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A combined SVM and Markov model approach for splice site identification
2016 6th International Conference on Computer and Knowledge Engineering (ICCKE), 20 Ekim 2016
PASHAEI ELHAM,YILMAZ ALPER,AYDIN NİZAMETTİN
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NLP-based SVM classification algorithm for causation of marine inspections
4th International Conference on Applied Engineering and Natural Sciences, Konya/TÜRKİYE, 10 Ekim 2022
BİÇEN SAMET
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Object-Based Classification of Greenhouses Using Sentinel-2 MSI and SPOT-7 Images: A Case Study from Anamur (Mersin), Turkey
IEEE JOURNAL OF SELECTEDTOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, Vol. 13, Ocak 2020, ISSN: 1939-1404
BEKTAŞ BALÇIK FİLİZ, ŞENEL GİZEM, GÖKSEL ÇİĞDEM
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Comment on “Comparison of the Ability of ARIMA, WNN and SVM Models for Drought Forecasting in the Sanjiang Plain, China” by Yuhu Zhang, Huirong Yang, Hengjian Cui, and Qiuhua Chen, in Natural Resources Research DOI: 10.1007/s11053-019-09512-6
Natural Resources Research, Vol. 29, No. 2, Nisan 2020, s. 1465-1467, ISSN: 1520-7439
BAŞAKIN EYYUP ENSAR,EKMEKCİOĞLU ÖMER
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A comparison of PCA, LDA and DCVA in ear biometrics classification using SVM
2015 23nd Signal Processing and Communications Applications Conference (SIU), Malatya, Turkey/TÜRKİYE, 16 Mayıs 2015
KAÇAR ÜMİT,KIRCI MÜRVET,GÜNEŞ ECE OLCAY,İNAN TOLGA
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A Hybrid Model for Classification of Remote Sensing Images With Linear SVM and Support Vector Selection and Adaptation
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, PISCATAWAY/AMERİKA BİRLEŞİK DEVLETLERİ, Vol. 6, No. 4, Ağustos 2013, s. 1988-1997, ISSN: 1939-1404
TAŞKIN KAYA GÜLŞEN
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Hybrid SVM and SVSA method for classification of remote sensing images
2010 IEEE International Geoscience and Remote Sensing Symposium, Honolulu, HI, USA/AMERİKA BİRLEŞİK DEVLETLERİ, 25 Temmuz 2010, s. 2828-2831
TAŞKIN KAYA GÜLŞEN,OKAN K ERSOY,KAMAŞAK MUSTAFA ERSEL
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A comparison of differential evolution and Harmony Search methods for SVM model selection in hyperspectral image classification
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 10 Temmuz 2016
CEYLAN OĞUZHAN,TAŞKIN KAYA GÜLŞEN
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Optimization of SVM parameters using High Dimensional Model Representation and its application to hyperspectral images
2014 22nd Signal Processing and Communications Applications Conference (SIU), Trabzon, Turkey/TÜRKİYE, 23 Nisan 2014, s. 642-645
TAŞKIN KAYA GÜLŞEN,KAYA HÜSEYİN
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Fused and Modified Evolutionary Optimization of Multiple Intelligent Systems Using ANN, SVM approaches
Computers, Materials & Continua, Vol. 66, No. 2, Kasım 2021, s. 1479-1496, ISSN: 1546-2226
AL-BAYATİ JALAL SADOON HAMEED, ÜSTÜNDAĞ BURAK BERK
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SVM parameter selection based on harmony search with an application to hyperspectral image classification
2016 24th Signal Processing and Communication Application Conference (SIU), Zonguldak, Turkey/TÜRKİYE, 16 Mayıs 2016
CEYLAN OĞUZHAN,TAŞKIN KAYA GÜLŞEN
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Comment on “Comparison of the Ability of ARIMA, WNN and SVM Models for Drought Forecasting in the Sanjiang Plain, China” by Yuhu Zhang, Huirong Yang, Hengjian Cui, and Qiuhua Chen, in Natural Resources Research DOI: 10.1007/s11053-019-09512-6
Natural Resources Research, Vol. 29, No. 2, Nisan 2020, s. 1465-1467, ISSN: 1520-7439
BAŞAKIN EYYUP ENSAR,EKMEKCİOĞLU ÖMER
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Supervised learning of functional maps for infarct classification
International Workshop on Statistical Atlases and Computational Models of the Heart (STACOM) 2015, Vol. 9534, 5 Ekim 2015, s. 162, ISSN: 16113349 03029743
MUKHOPADHYAY ANİRBAN,ÖKSÜZ İLKAY,TSAFTARİS SOTİRİOS A.
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