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synergy-dataset
PublicSYNERGY - Open machine learning dataset on study selection in systematic reviewsasreview-makita
PublicWorkflow generator for simulation studies using the command line interface of ASReview LABasreview-server-stack
PublicDocker compose for setting up ASReview server with authenticationasreview-insights
PublicTools such as plots and metrics to analyze (simulated) reviews for ASReview LABasreview-academy
PublicThis repository contains open teaching materials on using ASReview- Artwork for the ASReview project
- Tool to preprocess datasets for ASReview
citation-file-formatting
Public.github
Publicsynergy-dataset-py
Publiccloud-usage
Public- A model extension for ASReview. ASReview multilingual feature extractor is a feature extractor based on distiluse-base-multilingual-cased-v1.
template-extension-new-model
Public templateasreview-wordcloud
PublicASReview extension to generate wordcloud from data files.- 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.
template-extension-new-dataset
Public template- Scripts for the simulation study obtaining the average time to discovery performed on the Depression-data from the systematic review by Brouwer et al. (2019)
asreview-extension-vocab-extractor
Public archiveasreview-simulation-time
Public archiveasreview-ranking-stability
Public archiveasreview-covid19
Public archiveExtension that adds Covid-19 related datasets to ASReviewasreview-hyperopt
PublicHyper parameter optimization extension for ASReview. EXPERIMENTALpaper-asreview
Public- Scripts to run simulations in ASReview on systematic review data of risk analysis documents of the Medicine Information Centre of the Royal Dutch Pharmacists Association.
- Hyperparameter-training for the Mega-Meta project
semantic-clusters
PublicSemantic Clustering for ASReview Datasetspaper-guidelines-KIFMS
PublicScripts to run simulations of systematic reviews with ASReview for 14 datasets openly published on the Dutch database for medical guidelines.