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1. Prediction of Epileptic Seizures by Machine Learning and Deep Learning Techniques Using sEEG Signals: Review

2. Advancements in Emotion Recognition: Systematic Review and Research Roadmap

4. Batch-Balancing Improvement with Data Augmentation Techniques for Clinical Electroencephalographic Data

5. Uncertainty-Aware Bayesian Deep Learning with Noisy Training Labels for Epileptic Seizure Detection

6. Detection of Depression in EEG Signals Based on Convolutional Transformer and Adaptive Transfer Learning

11. A Fuzzy Logic Controller for Path Navigation of Brain-Controlled Mobile Robots in Complex Simulated Environments

14. Mental Illness Identification Through EEG Feature Segregation and Machine Learning

15. Personalized Stress Mitigation Through EEG Based Stress Classification and Music Recommendation

16. Exploring Novelty in Biomedical Signal Processing: A Comparative Study Between MEG and EEG Modalities

18. Soft Prosthetic Controlled Using EEG

20. Human Mental Stress Evaluation Using Wearable EEG and ECG Sensors

22. DTCA: Dual-Branch Transformer with Cross-Attention for EEG and Eye Movement Data Fusion

23. Epileptic Seizure Classification in EEG Signals Using KNN and SVM

26. Cognitive Assessment Using EEG Data: Developing a Brain-Computer İnterface for Cognitive Function Evaluation

27. Multi-modal Decoding of Reach-to-Grasping from EEG and EMG via Neural Networks

28. Endless Runner Game in Virtual Reality Controlled by a Self-paced Brain-Computer Interface Based on EEG and Motor Imagery

29. Brain Visualizer: A Tool for EEG Data Processing and 3D Brain Activity Visualization

31. EEG Features Learned by Convolutional Neural Networks Reflect Alterations of Social Stimuli Processing in Autism

32. CapsDA-Net: A Convolutional Capsule Domain-Adversarial Neural Network for EEG-Based Attention Recognition

33. Epilepsy Disease Detection Using the Proposed CNN-FCM Approach

35. Multi-scale Residual Graph Attention Network for Major Depressive Disorder Recognition

36. Classification of Emotions via EEG Signals by Deep Learning Approach

37. Diagnosis Parkinson’s Disease Using Neural Network and EEG Signals

40. Electroencephalogram Based Stress Detection Using Machine Learning

45. On the Use of GPU Computing for Accelerating EEG Preprocessing

46. EEG-Based Detection of REM Sleep Behaviour Disorder: Towards a Stage-Agnostic Approach

49. Comparative Analysis of Methods for Classifying Electroencephalography Signals for a Robotic Brain-Computer Interface

50. Cognitive States Prediction with KNN and TomekLinks

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