Detection of Structural Damage using One-Class Support Vector Machine
3rd International Engineering Research Symposium, INERS 19, 5 Eylül 2019
GÜNEŞ BURCU, OK EFKAN
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Mixed type audio classification with support vector machine
2006 IEEE International Conference on Multimedia and Expo, 9 Temmuz 2006
CHEN LEI,ÖĞÜDÜCÜ ŞULE,ÖZSU TAMER
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Detection of structural damage using one-class support vector machine
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2020
EFKAN OK
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Prediction of Adhesion Strength Using Extreme Learning Machine and Support Vector Regression Optimized with Genetic Algorithm
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, Vol. 45, No. 8, Ağustos 2020, s. 6985-7004, ISSN: 2193-567X
HAZIR ENDER,ÖZCAN TUNCAY,KOÇ KÜÇÜK HÜSEYİN
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Support Vector Machines for Multi Attribute ABC Analysis
International Journal of Machine Learning and Computing (IJMLC), Vol. 3, No. 1, 2013, s. 155-157
KARTAL BASRİ,ÇEBİ FERHAN
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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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Emotion Recognition via Galvanic Skin Response: Comparison of Machine Learning Algorithms and Feature Extraction Methods
ISTANBUL UNIVERSITY-JOURNAL OF ELECTRICAL AND ELECTRONICS ENGINEERING, Vol. 17, No. 1, Ocak 2017, s. 3129-3136, ISSN: 1303-0914
AYATA DEĞER,YASLAN YUSUF,KAMAŞAK MUSTAFA ERSEL
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Comparison of support vector machine and object based classification methods for coastline detection
ISPRS2013-SSG Konferansı, Vol. 72, 11 Kasım 2013, s. 125-127
KALKAN KAAN,BAYRAM BÜLENT,MAKTAV MİTHAT DERYA,SUNAR AYŞE FİLİZ
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Emotion Recognition via Galvanic Skin Response: Comparison of Machine Learning Algorithms and Feature Extraction Methods
ISTANBUL UNIVERSITY-JOURNAL OF ELECTRICAL AND ELECTRONICS ENGINEERING, Vol. 17, No. 1, Ocak 2017, s. 3129-3136, ISSN: 1303-0914
AYATA DEĞER,YASLAN YUSUF,KAMAŞAK MUSTAFA ERSEL
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An intelligent fault diagnosis system on ship machinery systems based on support vector machine principles
European Safety and Reliability conference (ESREL 2016), Glasgow/İNGİLTERE, 25 Eylül 2016, s. 1949-1953
ÖZTÜRK ÜLKÜ,ÇİÇEK KADİR,ÇELİK METİN
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A set of new Chebyshev kernel functions for support vector machine pattern classification
Pattern Recognition, Vol. 44, No. 7, Temmuz 2011, s. 1435-1447, ISSN: 00313203
SEDAT OZER,CHİ H CHEN,ÇIRPAN HAKAN ALİ
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Using Support Vector Machine for the Prediction of Unpaid Credit Card Debts
International Conference on Intelligent and Fuzzy Systems, 23 Temmuz 2019
YONTAR MELTEM,NAMLI DAĞ ÖZGE H,UĞURLU SEDA
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Determining damages in ceramic plates by using discrete wavelet packet transform and support vector machine
International Journal of Electrical and Computer Engineering (IJECE), Vol. 10, No. 5, Ekim 2020, s. 4759-4769, ISSN: 2722-2578","2088-8708
YUMURTACI MEHMET, GÖKMEN GÖKHAN, AKINCI TAHİR ÇETİN
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Patlatma Kaynaklı Yer Sarsıntısının ANFIS ve Destek Vektör Makineleri İle Tahmin Edilmesi /
Prediction of Blast-Induced Ground Vibrations by ANFIS and Support Vector Machines
10th International Drilling Blasting Symposium, Antalya/TÜRKİYE, 25 Kasım 2021, s. 141-148
AĞAN YAŞAR, HÜDAVERDİ TÜRKER, AKYILDIZ ÖZGE
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