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Detection of Structural Damage using One-Class Support Vector Machine
3rd International Engineering Research Symposium, INERS 19, 5 Eylül 2019
GÜNEŞ BURCU, OK EFKAN
Burcu Güneş Tam metin bildiri
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
Şule Öğüdücü Tam metin bildiri
Detection of structural damage using one-class support vector machine
FEN BİLİMLERİ ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2020
EFKAN OK
Burcu Güneş Tez Yüksek Lisans Tamamlandı
A support vector machine-based approach for southbound communication detection in SDN using openflow
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2024
ALİ GÖKHAN AVRAN
Gökhan Seçinti Tez Yüksek Lisans Tamamlandı
Breast Cancer Detection Based on Machine Learning
2024 IEEE 13th International Conference on Communication Systems and Network Technologies (CSNT), 6 Nisan 2024
SHAYEA IBRAHEEM ABDULLAH MOHAMMED
A Literature Review on Machine Learning in The Food Industry
Alphanumeric Journal, Vol. 11, Aralık 2023, ISSN: 2148-2225
AÇIKGÖZ FURKAN,VERÇİN LEYLA,ERDOĞAN GAMZE
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
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
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
Tuncay Özcan Özgün Makale
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
Hakan Ali Çırpan Özgün Makale
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
Ferhan Çebi Özgün Makale
Predicting customer churn using grey wolf optimization-based support vector machine with principal component analysis
Journal of Forecasting, Vol. 42, No. 6, Eylül 2023, s. 1329-1340, ISSN: 1099-131X
DURKAYA BETÜL, ÖZCAN TUNCAY
Tuncay Özcan Özgün Makale
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
Frequency Difference based DNA Encoding Methods in Human Splice Site Recognition
2017 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND ENGINEERING (UBMK), No. null, 5 Ekim 2017, s. 586-591
PASHAEI ELHAM,AYDIN NİZAMETTİN
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
An Unsupervised Hybrid Approach for Detection of Damage with Autoencoder and One-Class Support Vector Machine
Applied Sciences, Vol. 15, No. 8, Nisan 2025, ISSN: 2076-3417
GÜNEŞ BURCU,GÜNEŞ OĞUZ
Burcu Güneş Özgün Makale
Localizing structural damage based on auto-regressive with exogenous input model parameters and residuals using a support vector machine based learning approach
Frontiers of Structural and Civil Engineering, Vol. 18, No. 10, Ekim 2024, s. 1492-1506, ISSN: 2095-2430
GÜNEŞ BURCU
Burcu Güneş Özgün Makale
SPATIAL PREDICTION OF RECEIVED SIGNAL STRENGTH FOR CELLULAR COMMUNICATION USING SUPPORT VECTOR MACHINE AND K-NEAREST NEIGHBOURS REGRESSION
8th International Conference on GeoInformation Advances, İstanbul/TÜRKİYE, Vol. 48, No. 4, 11 Ocak 2024, s. 291-297, ISSN: 16821750
PERİHANOĞLU GÜZİDE MİRAY,KARAMAN HİMMET
Adaptive Capacity of Machine Learning Approaches for Leaf Area Estimation in Faba Bean Under Diverse Agro-environmental Conditions
Tarım Bilimleri Dergisi, Vol. 32, No. 2, Mart 2026, s. 439-454, ISSN: 1300-7580
KAYA MURAT,VARIŞLI OSMAN,YILMAZ ABDURRAHMAN,ACAY ÜMİT,İPEKEŞEN SİBEL,GUEVARA LEONARDO,BİÇER BEHİYE TUBA,BUDAK CAFER,VALLURU RAVİ
An Unsupervised Hybrid Approach for Detection of Damage with Autoencoder and One-Class Support Vector Machine
Applied Sciences, Vol. 15, No. 8, Nisan 2025, s. 1-22, ISSN: 2076-3417
GÜNEŞ BURCU,GÜNEŞ OĞUZ
Oğuz Güneş Özgün Makale

İLETİŞİM BİLGİLERİ

İstanbul Teknik Üniversitesi Rektörlüğü İTÜ Ayazağa Kampüsü Rektörlük Binası, Maslak-Sarıyer / İstanbul Tel: +90 212 285 3930