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PASTACI ÖZSOBACI NURAL,ÖNEMLİ EMRE,AYDINALP CEMANUR,YILMAZ ABDOLSAHEB TUBA
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Audio Genre Classification with Semi-Supervised Feature Ensemble Learning
2nd International Workshop on Machine Learning and Music MML 2009, 7 Eylül 2009
YASLAN YUSUF,ÇATALTEPE ZEHRA
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Using Co-Training to Empower Active Learning
2017 25TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), No. null, 15 Mayıs 2017
AZAD PAYAM VAKIL ZADEH,YASLAN YUSUF
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A framework proposal for machine learning-driven agent-based models through a case study analysis
SIMULATION MODELLING PRACTICE AND THEORY, Vol. 123, Ocak 2023, s. 20, ISSN: 1569-190X
TURGUT YAKUP, BOZDAĞ CAFER ERHAN
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Predicting the predisposition to colorectal cancer based on SNP profiles of immune phenotypes using supervised learning models
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Improving Classification Performance of Fully Connected Layers by Fuzzy Clustering in Transformed Feature Space
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KALAYCI TOLGA AHMET, ASAN UMUT
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Self-supervised Dynamic MRI Reconstruction
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ACAR MERT, ÇUKUR TOLGA, ÖKSÜZ İLKAY
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Prediction of Turkish Super League Match Results Using Supervised Machine Learning Techniques
INFUS 2019, 23 Temmuz 2019
SARICAOĞLU AHMET EMİN,AKSOY ABİDİN,KAYA TOLGA
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Robust audio watermark decoding by supervised learning
IEEE ICASSP, 14 Mayıs 2006
KIRBIZ SERAP,GÜNSEL KALYONCU BİLGE
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Deshufflegan: Self-supervised learning for generative adversarial networks
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2020
GÜLÇİN BAYKAL CAN
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Classification of knee osteoarthritis severity using deep learning with fully supervised and semi-supervised-based approaches
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Semi-supervised learning strategy for improved flash point prediction
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MERT SÜLÜK
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Exploring the power of supervised learning methods for company name disambiguation in microblog posts
Fen Bilimleri Enstitüsü, İstanbul Şehir Üniversitesi, 2014
NAFİYE POLAT
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Fully supervised and semi-supervised semantic segmentation of cardiac mr using deep learning
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2021
MAHYAR BOLHASSANI
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Deshufflegan: A Self-Supervised Gan to Improve Structure Learning
2020 IEEE International Conference on Image Processing (ICIP), 25 Ekim 2020
BAYKAL CAN GÜLÇİN,ÜNAL GÖZDE
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Machine Learning-Based Supervised Classification of Point Clouds Using Multiscale Geometric Features
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ATİK MUHAMMED ENES, DURAN ZAİDE, ŞEKER DURSUN ZAFER
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Machine Learning-Based Supervised Classification of Point Clouds Using Multiscale Geometric Features
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ATİK MUHAMMED ENES, DURAN ZAİDE, ŞEKER DURSUN ZAFER
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Predicting the Predisposition to Colorectal Cancer based on SNP Profiles of Immune Checkpoints using Supervised Learning Models
VII. International Congress of Molecular Medicine, İstanbul/TÜRKİYE, 5 Eylül 2019
ÇAKMAK ALİ,İBRAHİMZADA ALİ REZA,ARIKAN SOYKAN,AYAZ HÜZEYFE,DEMİRKOL ŞEYDA,SÖNMEZ DİLARA,HAKAN MEHMET TOLGAHAN,TURAN SÜRMEN SAİME,HOROZOĞLU CEM,KÜÇÜKHÜSEYİN ÖZLEM,KIRAN BAYRAM,ZEYBEK ŞAKİR ÜMİT,BAYSAN MEHMET,YAYLIM İLHAN
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Measurement and Analysis of In Vivo Microwave Dielectric Properties Collected From Normal, Benign, and Malignant Rat Breast Tissues: Classification Using Supervised Machine Learning Algorithms
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, Vol. 73, Nisan 2024, s. 11, ISSN: 0018-9456
PASTACI ÖZSOBACI NURAL,ÖNEMLİ EMRE,AYDINALP CEMANUR,YILMAZ ABDOLSAHEB TUBA
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Biomedical Data Classification Using Supervised Classifiers and Ensemble Based Dictionaries
2017 25TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), Antalya/TÜRKİYE, 15 Mayıs 2017
TÜYSÜZOĞLU GÖKSU,YASLAN YUSUF
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