Performance Improvement with Reduced Number of Channels in Motor Imagery BCI System
Sensors, Ocak 2025, ISSN: 1424-8220
ÖZKAHRAMAN ALİ,ÖLMEZ TAMER,DOKUR ZÜMRAY
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Classification of motor imagery electroencephalogram signals by using a divergence based convolutional neural network
Applied Soft Computing, Vol. 113, Ocak 2021, ISSN: 1568-4946
DOKUR ZÜMRAY, ÖLMEZ TAMER
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Classification of ten different motor imagery eeg signals by using deep neural networks
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2023
NURİ KORHAN
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Motor imagery based mobile brain computer interface design using machine learning techniques
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2017
HAKAN AŞIK
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Classification methods for motor imagery based brain computer interfaces
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2016
AYHAN YÜKSEL
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Motor Imagery Based EEG Classification by Using Common Spatial Patterns and Convolutional Neural Networks
2019 Scientific Meeting on Electrical-Electronics Biomedical Engineering and Computer Science (EBBT), Istanbul/TÜRKİYE, 24 Nisan 2019
KORHAN NURİ,ÖLMEZ ZÜMRAY,ÖLMEZ TAMER
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Porte Akademik Müzik ve Dans Araştırmaları Dergisi
Porte Akademik, No. 11, Nisan 2015, s. 66-71, ISSN: 2146-2453
KESTELLİ SAİR SİNAN
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Impact of Noise Elimination Methods on Classification Performance in Motor Imagery EEG
Novel and Intelligent Digital Systems: Proceedings of the 4th International Conference (NiDS 2024), Atina/YUNANİSTAN, Vol. 1170, 25 Eylül 2024, s. 78-89, ISSN: 2367-3370
ÖZKAHRAMAN ALİ,DOKUR ZÜMRAY,ÖLMEZ TAMER
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Impact of Noise Elimination Methods on Classification Performance in Motor Imagery EEG
Lecture Notes in Networks and Systems, Vol. 1170, Ekim 2024, ISSN: 2367-3389
ÖZKAHRAMAN ALİ,ÖLMEZ TAMER,DOKUR ZÜMRAY
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Impact of Noise Elimination Methods on Classification Performance in Motor Imagery EEG
Lecture Notes in Networks and Systems, Vol. 1170, Ocak 2024, s. 78-89, ISSN: 2367-3370
ÖZKAHRAMAN ALİ,ÖLMEZ TAMER,DOKUR ZÜMRAY
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Determination of the common electrodes for users and increasing the classification accuracy of motor imagery EEG
Neural Computing and Applications, Aralık 2024, ISSN: 0941-0643
ÖZKAHRAMAN ALİ,ÖLMEZ TAMER,DOKUR ZÜMRAY
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Determination of the common electrodes for users and increasing the classification accuracy of motor imagery EEG
Neural Computing and Applications, Aralık 2024, ISSN: 0941-0643
ÖZKAHRAMAN ALİ,ÖLMEZ TAMER,DOKUR ZÜMRAY
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Classification of left and right hand motor imagery EEG signals by using deep neural networks
International Journal of Applied Mathematics Electronics and Computers, Vol. 9, Aralık 2021, ISSN: 2147-8228
ABİLZADE LEYLA, KORHAN NURİ, DOKUR ZÜMRAY, ÖLMEZ TAMER
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Classification of left and right hand motor imagery EEG signals by using deep neural networks
International Journal of Applied Mathematics Electronics and Computers, Vol. 9, No. 4, Aralık 2021, s. 85-90, ISSN: 2147-8228
KORHAN NURİ, ABİLZADE LEYLA, ÖLMEZ TAMER, DOKUR ZÜMRAY
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Classification of motor imagery electroencephalogram signals by using a divergence based convolutional neural network
Applied Soft Computing, Vol. 113, No. 107881, Eylül 2021, s. 1-20, ISSN: 1568-4946
DOKUR ZÜMRAY, ÖLMEZ TAMER
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Classification of Left and Right Hand Motor Imagery EEG Signals by Using Deep Neural Networks
9th International Conference on Advanced Technologies ICAT 2020, İstanbul/TÜRKİYE, 10 Ağustos 2020
ABİLZADE LEYLA,KORHAN NURİ,ÖLMEZ TAMER,DOKUR ZÜMRAY
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Filter Bank Common Spatio Spectral Patternsfor Motor Imagery Classification
7th International Conference on Information Technology in Bio- and Medical Informatics (ITBAM 2016 ), 5 Eylül 2016
YÜKSEL AYHAN,ÖLMEZ TAMER
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Motor Imagery Research: What Does It Offer for New Digital Musical Instruments?
New Interfaces for Musical Expression (NIME), Louisiana/AMERİKA BİRLEŞİK DEVLETLERİ, 31 Mayıs 2015, ISSN: 2220-4806
KESTELLİ SAİR SİNAN
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Filter Bank Common Spatio Spectral Patternsfor Motor Imagery Classification
Lecture Notes in Computer Science, No. LNCS 9832, Eylül 2016, s. 69-84
AYHAN YÜKSEL,ÖLMEZ TAMER
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A Neural Network Based Optimal Spatial Filter Design Method for Motor Imagery Classification
PLOS ONE, Vol. 10, No. 5, Mayıs 2015, s. 125039, ISSN: 1932-6203
AYHAN YUKSEL,ÖLMEZ TAMER
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