Journal: PLoS ONE

Article Title: EntropyHub: An open-source toolkit for entropic time series analysis

doi: 10.1371/journal.pone.0259448

Figure Lengend Snippet: List of resources for the EntropyHub toolkit.

Article Snippet: EntropyHub , MATLAB , Command Line , • MATLAB Add-On Explorer • Python Package Index (PyPi) • JuliaHub • GitHub • Julia GitHub Repo • www.EntropyHub.xyz , See for full list of functions in version 0.1. EntropyHub provides 18 Base entropy methods for univariate data analysis (e.g. sample entropy, fuzzy entropy, etc.), and 8 Cross- entropy methods (e.g. cross-permutation entropy, cross-distribution entropy). There are also 4 bidimensional entropy methods for 2D/image analysis (e.g. bidimensional dispersion entropy, bidimensional sample entropy). There are also several multiscale entropy variants available which can utilise each of the Base and Cross- entropy methods. .

Techniques:

Journal: Computational Intelligence and Neuroscience

Article Title: Deep Ensemble Model for Classification of Novel Coronavirus in Chest X-Ray Images

doi: 10.1155/2021/8890226

Figure Lengend Snippet: The detail of hyperparameters for different pretrained models.

Article Snippet: These pretrained deep models are available online and can be installed/downloaded from the MATLAB website using the Add-On Explorer.

Techniques:

Journal: Computational Intelligence and Neuroscience

Article Title: Deep Ensemble Model for Classification of Novel Coronavirus in Chest X-Ray Images

doi: 10.1155/2021/8890226

Figure Lengend Snippet: The detail of layers and parameters for different pretrained models.

Article Snippet: These pretrained deep models are available online and can be installed/downloaded from the MATLAB website using the Add-On Explorer.

Techniques:

Journal: Computational Intelligence and Neuroscience

Article Title: Deep Ensemble Model for Classification of Novel Coronavirus in Chest X-Ray Images

doi: 10.1155/2021/8890226

Figure Lengend Snippet: Learning curves for (a) training and validation accuracy (blue, black doted lines) and (b) training and validation loss (orange, black doted lines) of fold-3 of fine-tuned pretrained ensemble model, for novel coronavirus classification using chest X-rays.

Article Snippet: These pretrained deep models are available online and can be installed/downloaded from the MATLAB website using the Add-On Explorer.

Techniques: Biomarker Discovery