Feature Selection for EEG Data Classification with Weka : доклад, тезисы доклада

Murtazina Marina; Avdeenko Tatiana

Дополнительные ссылки: eLibrary · Источник статьи

База данных: Каталог библиотеки СФУ

Библиографическое описание: Feature Selection for EEG Data Classification with Weka : доклад, тезисы доклада / M. Murtazina, T. Avdeenko. - [S. l. : s. n.], 2022. - Текст : непосредственный // Advances in Swarm Intelligence : 13th International Conference, ICSI 2022, Proceedings, Part II. - Zug, 2022. - 13345, Part II. - P. 279-288. - The research is supported by Ministry of Science and Higher Education of Russian Federation (project No. FSUN-2020–0009). . - ISBN 9783031097263, DOI 10.1007/978-3-031-09726-3_25.

Аннотация: The paper explores the application of feature selection techniques for the brain activity classifying patterns task. The study aim is to compare the machine learning algorithms results depending on the chosen feature selection technique. As an example for analysis, the task of classifying of open-eyes and closed-eyes resting states according to EEG data was chosen. For the experiment, EEG records of the resting states from the data set “EEG Motor Movement/Imagery” were used. Features in the time and frequency domains for 19 electrodes corresponding to the 10–20 system were extracted from the EEG records presented in the EDF format. Python was used to form the feature matrix and convert it to ARFF format. The resulting dataset contains 209 features for classification and a target feature. In the experimental part of the work, the classification results are compared before and after feature selection. The experiment examined 10 Weka attribute evaluators.

Год издания: 2022

Авторы: Murtazina Marina , Avdeenko Tatiana

Издательство: Zug

Источник: Advances in Swarm Intelligence

Выпуск: 13345, Part II

Мероприятие: 13th International Conference on Advances in Swarm Intelligence, ICSI 2022 (Xi'an, China, 2022 ; 15.07 - 19.07)

Номера страниц: 279-288

Держатель оригинала документа: Novosibirsk State Technical University

Количество экземпляров:

Твёрдая копия издания отсутствует в фонде библиотеки

Показать дополнительные сведения

Modified Correlation-Based Feature Selection for Intelligence Estimation Based on Resting… : доклад, тезисы доклада

Avdeenko Tatiana и др.
2022 год

Feature Selection Techniques Analysis for Identification of Cognitive and Resting States… : доклад, тезисы доклада

Murtazina Marina и др.
2022 год

An iterative feature selection procedure for a classification problem based on the method of… : доклад, тезисы доклада

Kuzmich R.I. и др.
2021 год

Classification of brain activity patterns using machine learning based on EEG data : доклад, тезисы доклада

Murtazina M.S. и др.
2020 год

Data Pre-Processing for Ecosystem Behavior Analysis : доклад, тезисы доклада, статья из сборника материалов конференций

Rezova N. и др.
2022 год

Feature Selection for Natural Language Call Routing Based on Self-Adaptive Genetic Algorithm : доклад, тезисы доклада

Koromyslova A и др.
2017 год

Modern technologies for big data classification and clustering : научное издание

Seetha Hari и др.
2018 год

Self-Configuring Hybrid Evolutionary Algorithm for Fuzzy Imbalanced Classification with Adaptive… : научное издание

Stanovov V.V. и др.
2016 год

Unsupervised Classification of Some Bacteria with 16S RNA Genes : доклад, тезисы доклада, статья из сборника…

Teterleva A. и др.
2022 год

Classification Algorithm with Lexicase Selection : доклад, тезисы доклада

Pleshkova Tatiana и др.
2022 год

Selection of appropriate architecture and parameters of neural network for images recognition and classification :…

Kukartsev V.V. и др.
2019 год

Research of methods of classification of time series based on various metrics classifiers : доклад, тезисы доклада,…

Kukartsev V.V. и др.
2021 год

Fast deterministic algorithm for EEE components classification : доклад, тезисы доклада, статья из сборника…

Kazakovtsev L.A. и др.
2015 год

IMPROVING CLASSIFICATION ACCURACY USING DATA ANALYSIS TECHNIQUES : доклад, тезисы доклада

Ganzha Y. S. и др.
2021 год

Credit Card Attrition Classification Through Neuronets : доклад, тезисы доклада

Mourtas Spyridon D. и др.
2022 год

Lovheim Cube-Backed Emotion Analysis: From Classification to Regression : доклад, тезисы доклада, статья из сборника…

Kolmogorova Anastasia и др.
2022 год

Библиотечно-издательский комплекс СФУ

Feature Selection for EEG Data Classification with Weka : доклад, тезисы доклада
доклад, тезисы доклада, статья из сборника материалов конференций

Похожие публикации