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[1]
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Überblick über die Klassifizierung von EEG-Signalen mit maschinellem Lernen und Deep-Learning-Techniken
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Fortschritte in der nicht-invasiven …,
2024 |
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[2]
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EEG based Emotion Prediction based on Audio Visual Stimulation using En-FS and SEn-G model
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Authorea Preprints,
2024 |
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[3]
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Wearable Brain-Computer Interfaces: Prototyping EEG-Based Instruments for Monitoring and Control
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2023 |
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[4]
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Attention deficit hyperactivity disorder detection in children using multivariate empirical EEG decomposition approaches: A comprehensive analytical study
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Expert Systems with Applications,
2023 |
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[5]
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A Two-Step Framework to Recognize Emotion Using the Combinations of Adjacent Frequency Bands of EEG
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Applied Sciences,
2023 |
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[6]
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Emotion Analysis on EEG Signal Using Machine Learning and Neural Network
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arXiv preprint arXiv:2307.05375,
2023 |
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[7]
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Review of EEG Signals Classification Using Machine Learning and Deep-Learning Techniques
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Advances in Non-Invasive Biomedical Signal …,
2023 |
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[8]
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Emotions Classification Using EEG in Health Care
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Computer Vision and …,
2023 |
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[9]
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An Efficient Spatial-Temporal Representation Method for EEG Emotion Recognition
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2022 IEEE Smartworld …,
2022 |
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[10]
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EEG Emotion Detection Using Optimum Channels
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NeuroQuantology,
2022 |
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[11]
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Reproducible Assessment of Valence and Arousal Based on an EEG Wearable Device
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… on Metrology for …,
2022 |
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[12]
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Electroencephalogram-Based Emotion Recognition Using Random Forest
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Pattern Recognition and Data Analysis with …,
2022 |
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[13]
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EEG-induced Fear-type Emotion Classification through Wavelet Packet Decomposition, Wavelet Entropy and SVM
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Hittite Journal of Science and Engineering,
2022 |
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[14]
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Metrological foundations of emotional valence measurement through an EEG-based system
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2022 IEEE …,
2022 |
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[15]
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Tetromino pattern based accurate EEG emotion classification model
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Artificial Intelligence in …,
2022 |
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[16]
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Enhancing emotion recognition using region-specific electroencephalogram data and dynamic functional connectivity
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Frontiers in Neuroscience,
2022 |
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[17]
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Análisis de la conectividad funcional en datos electroencefalográficos asociados a sentimientos
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2022 |
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[18]
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A Flexible Pipeline for Electroencephalographic Signal Processing and Management
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2022 |
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[19]
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EEG-based detection of emotional valence towards a reproducible measurement of emotions
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Scientific Reports,
2021 |
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[20]
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A Comprehensive Review for Emotion Detection Based on EEG Signals: Challenges, Applications, and Open Issues.
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Traitement du Signal,
2021 |
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[21]
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Feature extraction approach based on statistical methods and wavelet packet decomposition for emotion recognition using EEG signals
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2021 International Conference on …,
2021 |
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[22]
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ERAD-Fe: Emotion recognition-assisted deep learning framework
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IEEE Transactions on …,
2021 |
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[23]
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Emotion analysis using machine learning model and deep learning model on DEAP dataset
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2021 |
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[24]
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Emotion Recognition Using EEG-Based Brain Computer Interface
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2021 International …,
2021 |
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[25]
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High-wearable EEG-Based Detection of Emotional Valence for Scientific Measurement of Emotions
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2021 |
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[26]
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Physiological and electroencephalogram responses in goats subjected to pre-and during slaughter stress
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2021 |
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[27]
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Brain Signals Classification Based on Fuzzy Lattice Reasoning
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2021 |
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[28]
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Emotion recognition with convolutional neural network and EEG-based EFDMs
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2020 |
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[29]
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An Emotion Classification Method Based on Energy Entropy of Principal Component
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2020 |
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[30]
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Novel neural network models for financial prediction
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2020 |
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[31]
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A snapshot research and implementation of multimodal information fusion for data-driven emotion recognition
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2020 |
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[32]
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Detecting learning disabilities based on neuro-physiological interface of affect (NPIoA)
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2020 |
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[33]
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Brainwave-Based Human Emotion Estimation using Deep Neural Network Models for Biofeedback
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2019 |
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[34]
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Review on Various Emotional Disorders by Analyzing Human Brain Signal Patterns (EEG Signals)
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2019 |
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[35]
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Duygu Durum Değişimlerinin EEG-Gama Bandı Öznitelikleri ve Farklı Sınıflandırıcılar ile İncelenmesi Investigation of Emotional Changes Using Features of …
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2019 |
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[36]
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Emotion Classifications in Electroencephalogram (EEG) Signals
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International Journal of Recent Technology and Engineering,
2019 |
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[37]
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Investigation of Emotional Changes Using Features of EEG-Gamma Band and Different Classifiers
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2019 |
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[38]
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Analysis of EEG Based Emotion Detection of DEAP and SEED-IV Databases Using SVM
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2019 |
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[39]
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A survey of machine learning techniques in physiology based mental stress detection systems
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2019 |
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[40]
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Emotion classification using EEG signals based on tunable‐Q wavelet transform
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IET Science …,
2019 |
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[41]
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Duygu durumlarına göre değişen beyin fonksiyonel bağlantısallık analizi
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DISSERTATION,
2019 |
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[42]
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A novel approach to emotion recognition using local subset feature selection and modified Dempster-Shafer theory
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2018 |
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[43]
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Towards EEG-based BCI driven by emotions for addressing BCI-Illiteracy: a meta-analytic review
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Behaviour & Information Technology,
2018 |
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[44]
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Emotion classification using flexible analytic wavelet transform for electroencephalogram signals
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Health Information Science and Systems,
2018 |
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[45]
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EEG Tabanlı Duygu Analiz Sistemleri
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Türkiye Bili?im Vakf? Bilgisayar Bilimleri ve Mühendisli?i Dergisi,
2018 |
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[46]
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Emotion classification through nonlinear EEG analysis using machine learning methods
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2018 |
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[47]
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Emotion classification using EEG signals based on tunable-Q wavelet transform
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2018 |
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[48]
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EEG Tabanlı Duygu Analizi Sistemleri
|
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Türkiye Bili?im Vakf? Bilgisayar Bilimleri ve Mühendisli?i Dergisi,
2018 |
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|
[49]
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MEASUREMENT INSTRUMENTATION IN PASSIVE BRAIN-COMPUTER INTERFACES
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