Review of solutions for the application of example of machine learning methods for Motor Imagery in correlation with Brain-Computer Interfaces

PRZEGLĄD ELEKTROTECHNICZNY ◽

10.15199/48.2021.11.20 ◽

2021 ◽

Vol 1 (11) ◽

pp. 113-118

Author(s):

Szczepan PASZKIEL

Keyword(s):

Machine Learning ◽

Motor Imagery ◽

Brain Computer Interfaces ◽

Learning Methods ◽

Machine Learning Methods ◽

Computer Interfaces

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Brain Computer Interfaces Employing Machine Learning Methods : A Systematic Review

International Journal of Computer Science & Engineering Survey ◽

10.5121/ijcses.2020.11201 ◽

2020 ◽

Vol 11 (2) ◽

pp. 1-8

Author(s):

Sejal Vyas

Keyword(s):

Machine Learning ◽

Systematic Review ◽

Brain Computer Interfaces ◽

Learning Methods ◽

Machine Learning Methods ◽

Computer Interfaces

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Review of Drowsiness Detection Machine-Learning Methods Applicable for Non-Invasive Brain-Computer Interfaces

10.1109/telfor52709.2021.9653239 ◽

2021 ◽

Author(s):

Marjan Gusev ◽

Nevena Ackovska ◽

Vladimir Zdraveski ◽

Emil Stankov ◽

Mile Jovanov ◽

...

Keyword(s):

Machine Learning ◽

Brain Computer Interfaces ◽

Learning Methods ◽

Drowsiness Detection ◽

Non Invasive ◽

Machine Learning Methods ◽

Computer Interfaces

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Comparison of machine learning methods for two class motor imagery tasks using EEG in brain-computer interface

2018 Advances in Science and Engineering Technology International Conferences (ASET) ◽

10.1109/icaset.2018.8376886 ◽

2018 ◽

Author(s):

Miznan Behri ◽

Abdulhamit Subasi ◽

Saeed Mian Qaisar

Keyword(s):

Machine Learning ◽

Motor Imagery ◽

Brain Computer Interface ◽

Computer Interface ◽

Learning Methods ◽

Machine Learning Methods

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A Survey on Machine Learning Algorithms in Little-Labeled Data for Motor Imagery-Based Brain-Computer Interfaces

Journal of Information Hiding and Privacy Protection ◽

10.32604/jihpp.2019.05979 ◽

2019 ◽

Vol 1 (1) ◽

pp. 11-21

Author(s):

Yuxi Jia ◽

Feng Li ◽

Fei Wang ◽

Yan Gui

Keyword(s):

Machine Learning ◽

Motor Imagery ◽

Learning Algorithms ◽

Machine Learning Algorithms ◽

Brain Computer Interfaces ◽

Computer Interfaces

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Advanced Interpretable Machine Learning Methods for Clinical NGS Big Data of Complex Hereditary Diseases

10.3389/978-2-88966-274-6 ◽

2020 ◽

Keyword(s):

Machine Learning ◽

Big Data ◽

Hereditary Diseases ◽

Learning Methods ◽

Machine Learning Methods ◽

Interpretable Machine Learning

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Application of machine learning methods for automatic interpretation of open hole logging data

Neftyanoe khozyaystvo - Oil Industry ◽

10.24887/0028-2448-2020-11-44-47 ◽

2020 ◽

pp. 44-47

Author(s):

M.A. Basyrov ◽

◽

A.V. Akinshin ◽

I.R. Makhmutov ◽

Yu.D. Kantemirov ◽

...

Keyword(s):

Machine Learning ◽

Learning Methods ◽

Machine Learning Methods ◽

Automatic Interpretation ◽

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TESTING PREDICTION ACCURACY OF HDU ADMISSION FOLLOWING HIGH GRADE SEROUS ADVANCED OVARIAN CANCER CYTOREDUCTIVE SURGERY USING MACHINE LEARNING METHODS.

10.26226/morressier.5fa3ee5d55b1fd4cc4dd93d7 ◽

2020 ◽

Author(s):

Alexandros Laios ◽

Angelika Kaufmann ◽

Mohamed Otify ◽

Diederick De Jong ◽

Tim Broadhead ◽

...

Keyword(s):

Machine Learning ◽

Ovarian Cancer ◽

Cytoreductive Surgery ◽

Prediction Accuracy ◽

Advanced Ovarian Cancer ◽

Learning Methods ◽

Machine Learning Methods

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Evolution of Machine Learning Methods for Memography Classification

International Journal of Computer Sciences and Engineering ◽

10.26438/ijcse/v6i3.499502 ◽

2018 ◽

Vol 6 (3) ◽

pp. 499-502

Author(s):

R. Swathi ◽

◽

R. Seshadri ◽

Keyword(s):

Machine Learning ◽

Learning Methods ◽

Machine Learning Methods

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FORECASTING THREATS AND CHOOSING THE OPTIMAL STRATEGY FOR ENSURING ECONOMIC SECURITY USING MACHINE LEARNING METHODS

Scientific Review Series 1 Economics and Law ◽

10.26653/2076-4650-2019-6-09 ◽

2019 ◽

pp. 115-123

Author(s):

Evgeniy A. Voronin ◽

◽

Igor V. Yushin ◽

Keyword(s):

Machine Learning ◽

Optimal Strategy ◽

Economic Security ◽

Learning Methods ◽

Machine Learning Methods

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A Generalized Approach to Soil Strength Prediction With Machine Learning Methods

10.21236/ada464726 ◽

2006 ◽

Author(s):

Peter M. Semen

Keyword(s):

Machine Learning ◽

Soil Strength ◽

Strength Prediction ◽

Learning Methods ◽

Machine Learning Methods

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