Active learning for systematic reviews
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Updated
Dec 23, 2024 - Python
Active learning for systematic reviews
Workflow generator for simulation studies using the command line interface of ASReview LAB
Tools such as plots and metrics to analyze (simulated) reviews for ASReview LAB
Extension that adds Covid-19 related datasets to ASReview
Tool to preprocess datasets for ASReview
ASReview extension to generate wordcloud from data files.
This repository contains open teaching materials on using ASReview
Artwork for the ASReview project
A plugin for ASReview allowing for switching between models during runtime.
Scripts for paper: 'ASReview: Open Source Software for Efficient and Transparent Active Learning for Systematic Reviews'
Semantic Clustering for ASReview Datasets
Hyper parameter optimization extension for ASReview. EXPERIMENTAL
The repository is part of the so-called, Mega-Meta study on reviewing factors contributing to substance use, anxiety, and depressive disorders. This repository contains the scripts for Post-Processing the screening results.
An extension for asreview implements a version of the tf-idf feature extractor that saves the matrix and the vocabulary.
A convolutional neural network model plugin for ASReview
Extension for ASReview Lab for exporting notes from GUI to dataset csv file
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