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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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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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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MOTOR HAREKET HAYALİ EEG VERİLERİNİ DENEKLERDEN BAĞIMSIZ ORTAK ELEKTROTLAR KULLANARAK SINIFLAMA
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2025
ALİ ÖZKAHRAMAN
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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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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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EEG controlled semi-autonomous mobile vehicle design and implementation
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2019
HÜSEYİN TANZER ATAY
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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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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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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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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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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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Controlling a robot with extraocular muscles using EEG device
26th Signal Processing and Communications Applications Conference (SIU), 2 Mayıs 2018, s. 1-4
DEMİREL ÇAĞATAY,KANDEMİR HASAN,KÖSE HATİCE
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Emotion Recognition using EEG and Physiological Data for Robot-Assisted Rehabilitation Systems
22nd ACM International Conference on Multimodal Interaction (ICMI) Workshop on Modeling Socio-Emotional and Cognitive Processes from Multimodal Data in the Wild, 25 Ekim 2020
GÜMÜŞLÜ ELİF, EROL BARKANA DUYGUN, KÖSE HATİCE
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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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