MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
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Updated
May 11, 2023 - MATLAB
MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
GPstuff - Gaussian process models for Bayesian analysis
ECG classification from short single lead segments (Computing in Cardiology Challenge 2017 entry)
提取图像的灰度共生矩阵(GLCM),根据GLCM求解图像的概率特征,利用特征训练SVM分类器,对目标分类
CellExplorer is a graphical user interface, a standardized processing module and data structure for exploring and classifying single cells acquired using extracellular electrodes.
This toolbox offers 40 feature extraction methods (EMAV, EWL, MAV, WL, SSC, ZC, and etc.) for Electromyography (EMG) signals applications.
A MATLAB toolbox for classifier: Version 1.0.7
Flexible Statistics and Data Analysis (FSDA) extends MATLAB for a robust analysis of data sets affected by different sources of heterogeneity. It is open source software licensed under the European Union Public Licence (EUPL). FSDA is a joint project by the University of Parma and the Joint Research Centre of the European Commission.
This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) applications.
A MATLAB implementation of the TensorFlow Neural Networks Playground seen on http://playground.tensorflow.org/
Matlab library for gradient descent algorithms: Version 1.0.1
Automatic EEG IC classification plugin for EEGLAB
Classification toolbox for ERP and SSVEP based BCI data
A general matlab framework for EEG data classification
🐳 Scripps Whale Acoustics Lab 🌎 Scripps Acoustic Ecology Lab - Triton with remoras in development
Demonstration on how binary grey wolf optimization (BGWO) applied in the feature selection task.
Hyperspectral Image Classification using Naive Bayes, Minimum Eucleidian Distance and KNN in Matlab
Complex-valued Convolutional Neural Networks
An easy to use decoding toolbox for Matlab users.
Motor Imagery EEG signal Classification on DWT
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