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Review of Machine Learning Techniques for EEG Based Brain Computer Interface
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- A review on electroencephalogram based channel selection
- The role of AI and machine learning in the diagnosis of Parkinson's disease and atypical parkinsonisms
- Investigating Machine Learning Techniques for Predicting Risk of Asthma Exacerbations: A Systematic Review
- Online continual decoding of streaming EEG signal with a balanced and informative memory buffer
- Advanced disk herniation computer aided diagnosis system
- Artificial intelligence- image learning and its applications in neurooncology: a review
- Precise Detection of Awareness in Disorders of Consciousness Using Deep Learning Framework
- A Comprehensive Review on Deep Learning Techniques in Alzheimer's Disease Diagnosis
- Machine learning in small sample neuroimaging studies: Novel measures for schizophrenia analysis
- Structural or/and functional MRI-based machine learning techniques for attention-deficit/hyperactivity disorder diagnosis: A systematic review and meta-analysis
- Structural or/and functional MRI-based machine learning techniques for attention-deficit/hyperactivity disorder diagnosis: A systematic review and meta-analysis
- Fatigue in children using motor imagery and P300 brain-computer interfaces
- Trends in artificial intelligence, machine learning, and chemometrics applied to chemical data
- Session-independent subject-adaptive mental imagery BCI using selective filter-bank adaptive Riemannian features
- Human-centred explanations for artificial intelligence systems
- eDeeplepsy: An artificial neural framework to reveal different brain states in children with epileptic spasms
- Revealing the Spatiotemporal Brain Dynamics of Covert Speech compared with Overt Speech: A Simultaneous EEG-fMRI Study
- Brain-machine interface based on deep learning to control asynchronously a lower-limb robotic exoskeleton: a case-of-study
- Brain Disorder Detection and Diagnosis using Machine Learning and Deep Learning - A Bibliometric Analysis
- Machine learning in internet financial risk management: A systematic literature review
- Effect of Esketamine on perioperative anxiety and depression in women with systemic tumors based on big data medical background
- Application of machine learning techniques in the diagnostic approach of PTSD using MRI neuroimaging data: A systematic review
- Voxeloc: a time-saving graphical user interface for localizing and visualizing stereo-EEG electrodes
- The application of machine learning techniques in posttraumatic stress disorder: a systematic review and meta-analysis
- Artificial intelligence in coronary artery calcium score: rationale, different approaches, and outcomes
- Using Electroencephalogram-Extracted Nonlinear Complexity and Wavelet-Extracted Power Rhythm Features during the Performance of Demanding Cognitive Tasks (Aristotle's Syllogisms) in Optimally Classifying Patients with Anorexia Nervosa
- Exploring the potential of machine learning in gynecological care: a review
- Systematic review of machine learning in PTSD studies for automated diagnosis evaluation
- Investigating machine learning and natural language processing techniques applied for detecting eating disorders: a systematic literature review
- Applications of Artificial Intelligence, Machine Learning, and Deep Learning in Nutrition: A Systematic Review
- Status and future trends in wastewater management strategies using artificial intelligence and machine learning techniques
- "Intelligent tutoring effects on induced emotions and cognitive load of learning-disabled learners"
- "Intelligent tutoring effects on induced emotions and cognitive load of learning-disabled learners"
- ORA collection on AI & Machine Learning launch event
- Spintronics-Based Neuromorphic and Ising Computing
- The application of different machine learning models based on PET/CT images and EGFR in predicting brain metastasis of adenocarcinoma of the lung
- Neurofeedback and epilepsy: Renaissance of an old self-regulation method?
- Machine learning, deep learning and hernia surgery. Are we pushing the limits of abdominal core health? A qualitative systematic review
- Developing a machine learning model for predicting venlafaxine active moiety concentration: a retrospective study using real-world evidence
- Protocol to explain support vector machine predictions via exact Shapley value computation
- Machine learning in the prediction and detection of new-onset atrial fibrillation in ICU: a systematic review
- Computer-aided analysis of radiological images for cancer diagnosis: performance analysis on benchmark datasets, challenges, and directions
- A refined approach for evaluating small datasets via binary classification using machine learning
- The Use of Generative Adversarial Network and Graph Convolution Network for Neuroimaging-Based Diagnostic Classification
- The Use of Generative Adversarial Network and Graph Convolution Network for Neuroimaging-Based Diagnostic Classification
- See Elegans: Simple-to-use, accurate, and automatic 3D detection of neural activity from densely packed neurons
- Integrated smart dust monitoring and prediction system for surface mine sites using IoT and machine learning techniques
- Data Preprocessing Techniques for Artificial Learning (AI)/Machine Learning (ML)-Readiness: Systematic Review of Wearable Sensor Data in Cancer Care
- Machine learning and deep learning for the diagnosis and treatment of ankylosing spondylitis- a scoping review
- Analysis and interpretability of machine learning models to classify thyroid disease
- Patient and Caregiver Perceptions of an Interface Design to Communicate Artificial Intelligence-Based Prognosis for Patients With Advanced Solid Tumors
- Artificial intelligence in neuro-oncology: advances and challenges in brain tumor diagnosis, prognosis, and precision treatment
- Application of artificial intelligence and machine learning techniques to the analysis of dynamic protein sequences
- Application of Machine Learning in Multimorbidity Research: Protocol for a Scoping Review
- Application of Machine Learning in Multimorbidity Research: Protocol for a Scoping Review
- Predicting Treatment Outcome Based on Resting-State Functional Connectivity in Internalizing Mental Disorders: A Systematic Review and Meta-Analysis
- An effective ensemble learning approach for classification of glioma grades based on novel MRI features
- An SSVEP-based BCI with 112 targets using frequency spatial multiplexing
- Integrating Advanced Techniques and Machine Learning for Landfill Leachate Treatment: Addressing Limitations and Environmental Concerns
- Toward Nano- and Microplastic Sensors: Identification of Nano- and Microplastic Particles via Artificial Intelligence Combined with a Plasmonic Probe Functionalized with an Estrogen Receptor
- Enhanced skin burn assessment through transfer learning: a novel framework for human tissue analysis
- Precise risk-prediction model including arterial stiffness for new-onset atrial fibrillation using machine learning techniques
- Deep Photonic Reservoir Computer for Speech Recognition
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Review of Machine Learning Techniques for EEG Based Brain Computer Interface
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Review of Machine Learning Techniques for EEG Based Brain Computer Interface
🌐 365 Days
AI Virtual Reality Related Evidence Matrix
- An Overview of Bipolar Disorder Diagnosis Using Machine Learning Approaches: Clinical Opportunities and Challenges
- A systematic review of EEG based automated schizophrenia classification through machine learning and deep learning
- A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare
- Emotion recognition in EEG signals using deep learning methods: A review
- Machine learning techniques in diagnostics and prediction of the clinical features of schizophrenia: a narrative review
- EEG-Based PD Classification Model Coupled with Machine Learning
- A systematic review on machine learning and deep learning techniques in the effective diagnosis of Alzheimer's disease
- A review on electroencephalogram based channel selection
- Identification of autism spectrum disorder based on electroencephalography: A systematic review
- The role of AI and machine learning in the diagnosis of Parkinson's disease and atypical parkinsonisms
- Investigating Machine Learning Techniques for Predicting Risk of Asthma Exacerbations: A Systematic Review
- Machine-Learning Methods for Speech and Handwriting Detection Using Neural Signals: A Review
- Online continual decoding of streaming EEG signal with a balanced and informative memory buffer
- Advanced disk herniation computer aided diagnosis system
- Exploring the Frontiers of Neuroimaging: A Review of Recent Advances in Understanding Brain Functioning and Disorders
- Artificial intelligence- image learning and its applications in neurooncology: a review
- Classification of First-Episode Psychosis with EEG Signals: ciSSA and Machine Learning Approach
- Temporal alpha dissimilarity of ADHD brain network in comparison with CPT and CATA
- Motor Imagery Brain-Computer Interface in Rehabilitation of Upper Limb Motor Dysfunction After Stroke
- Using TMS-EEG to assess the effects of neuromodulation techniques: a narrative review
- Toward practical machine-learning-based diagnosis for drug-naïve women with major depressive disorder using EEG channel reduction approach
- An overview of clinical machine learning applications in neurology
- Precise Detection of Awareness in Disorders of Consciousness Using Deep Learning Framework
- A Comprehensive Review on Deep Learning Techniques in Alzheimer's Disease Diagnosis
- Classification of attention deficit hyperactivity disorder using machine learning on an EEG dataset
- High-resolution EEG source localization in personalized segmentation-free head model with multi-dipole fitting
- Study shows that the way the brain learns is different from the way that artificial intelligence systems learn
- Machine learning in small sample neuroimaging studies: Novel measures for schizophrenia analysis
- Structural or/and functional MRI-based machine learning techniques for attention-deficit/hyperactivity disorder diagnosis: A systematic review and meta-analysis
- Structural or/and functional MRI-based machine learning techniques for attention-deficit/hyperactivity disorder diagnosis: A systematic review and meta-analysis
- Evaluation of Temporal, Spatial and Spectral Filtering in CSP-based Methods for Decoding Pedaling-Based Motor Tasks Using EEG signals
- Fatigue in children using motor imagery and P300 brain-computer interfaces
- Trends in artificial intelligence, machine learning, and chemometrics applied to chemical data
- Developing and deploying deep learning models in brain magnetic resonance imaging: A review
- Resting state-EEG connectivity and machine learning: towards improved treatment response predictions in psychiatry
- Intraoperative pediatric electroencephalography monitoring - an updated review
- Automatic depression diagnosis through hybrid EEG and near-infrared spectroscopy features using support vector machine
- Session-independent subject-adaptive mental imagery BCI using selective filter-bank adaptive Riemannian features
- Remote collection of electrophysiological data with brain wearables: opportunities and challenges
- Human-centred explanations for artificial intelligence systems
- Machine learning approaches for early detection of non-alcoholic steatohepatitis based on clinical and blood parameters
- Decoding information about cognitive health from the brainwaves of sleep
- eDeeplepsy: An artificial neural framework to reveal different brain states in children with epileptic spasms
- A primer on the use of machine learning to distil knowledge from data in biological psychiatry
- EEG-based Machine Learning Models for the Prediction of Phenoconversion Time and Subtype in iRBD
- A Hybrid Graph Network Model for ASD Diagnosis Based on Resting-state EEG Signals
- Revealing the Spatiotemporal Brain Dynamics of Covert Speech compared with Overt Speech: A Simultaneous EEG-fMRI Study
- Brain-machine interface based on deep learning to control asynchronously a lower-limb robotic exoskeleton: a case-of-study
- Let the EEG speak my language. Italian translation of Standardized Computer-based Organized Reporting of EEG (SCORE)
- A review of machine learning applications for the proton MR spectroscopy workflow
- Brain Disorder Detection and Diagnosis using Machine Learning and Deep Learning - A Bibliometric Analysis
- Quantitative analysis of high-frequency activity in neonatal EEG
- Machine learning in internet financial risk management: A systematic literature review
- Effect of Esketamine on perioperative anxiety and depression in women with systemic tumors based on big data medical background
- Application of machine learning techniques in the diagnostic approach of PTSD using MRI neuroimaging data: A systematic review
- Voxeloc: a time-saving graphical user interface for localizing and visualizing stereo-EEG electrodes
- The application of machine learning techniques in posttraumatic stress disorder: a systematic review and meta-analysis
- Review of MR spectroscopy analysis and artificial intelligence applications for the detection of cerebral inflammation and neurotoxicity in Alzheimer's disease
- Artificial intelligence in coronary artery calcium score: rationale, different approaches, and outcomes
- Machine learning approaches to the identification of children affected by prenatal alcohol exposure: A narrative review
- Using shallow neural networks with functional connectivity from EEG signals for early diagnosis of Alzheimer's and frontotemporal dementia
- Using Electroencephalogram-Extracted Nonlinear Complexity and Wavelet-Extracted Power Rhythm Features during the Performance of Demanding Cognitive Tasks (Aristotle's Syllogisms) in Optimally Classifying Patients with Anorexia Nervosa
- Exploring the potential of machine learning in gynecological care: a review
- The evolution of neuromodulation for chronic stroke: From neuroplasticity mechanisms to brain-computer interfaces