Software package of EEG analysis
Fen Bilimleri Enstitüsü, Çukurova Üniversitesi, 1997
LEVENT SANDALLIOĞLU
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Multi Channel Brain EEG Signals Based Emotional Arousal Classification with Unsupervised Feature Learning using Autoencoders
2017 25TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 15 Mayıs 2017
AYATA DEĞER,YASLAN YUSUF,KAMAŞAK MUSTAFA ERSEL
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Multi Channel Brain EEG Signals Based Emotional Arousal Classification with Unsupervised Feature Learning using Autoencoders
2017 25TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 15 Mayıs 2017
AYATA DEĞER,YASLAN YUSUF,KAMAŞAK MUSTAFA ERSEL
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A deep learning approach to EEG based epilepsy seizure determination
2016 24th Signal Processing and Communication Application Conference (SIU), 16 Mayıs 2016
CILASUN HUSREV,YALÇIN HÜLYA
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Striatal Nöronlar Arasındaki Sinaptik Gecikmenin Thalamusta Elektroensefalogram (EEG) İşaretiÜzerindeki Etkis
ELEKTRİK ELEKTRONİK MÜHENDİSLİĞİ KONGRESİ 2019, 14 Kasım 2019
ÇAKIR YÜKSEL
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Classification of the motor EEG signals by using deep neural networks
Bilişim Enstitüsü, İstanbul Teknik Üniversitesi, 2019
LEYLA ABILZADE
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Real-time emotion recognition from EEG signals using one electrode device
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2017
MEHMET ALİ SARIKAYA
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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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Exploring the cognitive processes of map users employing eye tracking and EEG
Faculty of Sciences, Universiteit Gent, 2021
MERVE KESKİN
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Exploring the cognitive processes of map users employing eye tracking and EEG
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2020
MERVE KESKİN
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Tek sınıf destek vektör makineleri kullanılarak epileptik EEG işaretlerinin sınıflandırılması
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2009
ERCAN AVŞAR
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EEG controlled semi-autonomous mobile vehicle design and implementation
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2019
HÜSEYİN TANZER ATAY
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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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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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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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Emotion Recognition via Multi Channel EEG Signal Fusion and Pattern Recognition
Eusipco 2017 Multi-Learn 2017: Multimodal processing, modeling and learning approaches for human-computer/robot interaction Workshop, 2 Eylül 2017
AYATA DEĞER,YASLAN YUSUF,KAMAŞAK MUSTAFA ERSEL
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Automated Analysis of the EEG signals for Prediction of Possible Effectiveness of rTMS Treatment in Alzheimer’s Patient
2022 30th Signal Processing and Communications Applications Conference (SIU), 15 Mayıs 2022
DUZMAN HACER,TORLAK MERYEM,HİNDİ OSAMA,KAYASANDIK CİHAN BİLGE
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Classification of EEG in A Steady State Visual Evoked Potential Based Brain Computer Interface Experiment
Lecture Notes in Computer Science, Vol. 6594, 2011, s. 81-88, ISSN: 0302-9743
İŞCAN ZAFER,ÖZKAYA ÖZEN,DOKUR ZÜMRAY
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Kırpma eşikleri’ni kullanarak sinirsel kayıtlardan bilgi çıkarımlama:yeni bir paradigma
16. ULUSAL SİNİRBİLİM KONGRESİ, İstanbul/TÜRKİYE, Vol. 12, No. Sup1, 20 Mayıs 2018, s. 17-17, ISSN: 1307-8798
OKATAN MURAT
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