asreview
There are 4 repositories under asreview topic.
- asreviewLanguage:Python 576
asreview / asreview-covid19
Extension that adds Covid-19 related datasets to ASReview
Language:Python 27- asreview-insights
Tools such as plots and metrics to analyze (simulated) reviews for ASReview LAB
Language:Python 27 - asreview-makita
Workflow generator for simulation studies using the command line interface of ASReview LAB
Language:Python 27 Template repository to extend ASReview with a new model easily.
Language:Python 17Tool to preprocess datasets for ASReview
Language:Python 16ASReview extension to generate wordcloud from data files.
Language:Python 15jteijema / asreview-plugin-model-switcher
A plugin for ASReview allowing for switching between models during runtime.
Language:Python 13- asreview-artwork
Artwork for the ASReview project
Language:HTML 12 This repository contains open teaching materials on using ASReview
Language:CSS 11Scripts for paper: 'ASReview: Open Source Software for Efficient and Transparent Active Learning for Systematic Reviews'
Language:Python 10- Language:Python 9
- asreview-hyperopt
Hyper parameter optimization extension for ASReview. EXPERIMENTAL
Language:Python 7 Semantic Clustering for ASReview Datasets
Language:Python 6langtonhugh / asreview_irr
Code to automatically produce a report from ASReview on inter-rater reliability.
Language:HTML 6An extension for asreview implements a version of the tf-idf feature extractor that saves the matrix and the vocabulary.
Language:Python 5The 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.
Language:R 5Scripts to run simulations in ASReview on systematic review data of risk analysis documents of the Medicine Information Centre of the Royal Dutch Pharmacists Association.
Language:Shell 4- Language:Python 4
george-gca / ai_conferences_info
Papers informations from top AI conferences
A convolutional neural network model plugin for ASReview
Language:Python 4rohitgarud / asreview-notes-export
Extension for ASReview Lab for exporting notes from GUI to dataset csv file
Language:Python 4This plugin adds a new feature extractor based on doc2vec with a wider vector.
Language:Python 3acaklovic / Thesis-Comparison-of-feature-extractors-using-ASReview
Project to examine if state-of-the-art feature extractors (i.e., transformers like RoBERTa, MPNET, and SPECTER) can outperform classical feature extractors (i.e., tf-idf and Doc2Vec) when classifying systematic reviews as relevant or irrelevant (using the ASReview software)
Language:Jupyter Notebook 2- Language:Python 2
Docker compose for setting up ASReview server with authentication
Language:Python 2- Language:Python 2
JJMFreriksen / paper-kinderformularium
This repository contains the scripts used to create the systematic review datasets for a study on the benefit of using ASReview LAB for the development of Risk Benefit Analyses.
Language:Jupyter Notebook 2Repository containing data regarding research into switching models during classifing, and the use of CNNs
Language:Jupyter Notebook 2Kevin-Patyk / ASReview-Text-Summarization-Thesis
The code in this repository makes it possible to reproduce the results of my master thesis "Accelerating Systematic Reviews: Developing a Pipeline for Creating Enhanced Abstracts".
Language:Jupyter Notebook 2An extension for ASReview Lab to preprocess the dataset before importing in ASReview
Language:Python 2valmelnikov / asreview_server_setup
This repo contains description of and scripts supporting the server setup of ASReview used for MegaMeta study
Language:Shell 2A model extension for ASReview. ASReview multilingual feature extractor is a feature extractor based on distiluse-base-multilingual-cased-v1.
Language:Python 1Hyperparameter-training for the Mega-Meta project
Language:Python 1pablov-1995 / thesis-nn-model-choice
The code in this repository makes it possible to reproduce the results of my master thesis "Evaluation of the performance of neural network models and classical models in the context of Active Learning for Systematic Reviewing"
Language:Python 1ASReview Classifer Model Extension with ensemble classifiers
Language:Python 1
