Active learning for systematic reviews
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Updated
Jun 14, 2024 - Python
Active learning for systematic reviews
LitStudy: Using the power of Python to automate scientific literature analysis from the comfort of a Jupyter notebook
Workflow generator for simulation studies using the command line interface of ASReview LAB
Active learning agent-based-simulation for systematic reviews and other types of technology assisted review (TAR) which will include PDF documents and other meta-datas in itself and it's based on both fulltext-screening decisions and title-screening decisions.
Tool to preprocess datasets for ASReview
[NeurIPS 2023] CSMeD: Bridging the Dataset Gap in Automated Citation Screening for Systematic Literature Reviews
[CIKM 2023] CRUISE search engine for conducting literature reviews
Author Bias Computation and Scientometric Plotting
[SIGIR 2023] VoMBaT: A Tool for Visualising Evaluation Measure Behaviour in High-Recall Search Tasks
Inter-rater quantifies the reliability between multiple raters who evaluate a group of subjects. It calculates the group quantity, Fleiss kappa, and it improves on existing software by keeping information about each user and quantifying how each user agreed with the rest of the group. This is accomplished through permutations of user pairs. The …
ASReview extension to generate wordcloud from data files.
Automatic synthesis of RCTs
Extension that adds Covid-19 related datasets to ASReview
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"
Semantic Clustering for ASReview Datasets
Dataset for the Systematic Review on Single-Board Computers (SBCs) in engineering and computer science education
Simulations for the https://github.com/asreview/asreview
Stopping criteria for search results using Poisson processes.
A very simple python script to generate bibtex files (.bib) from exported parsifal's xls spreadsheet.
Written in python, for checking reference lists in systematic reviews and literature reviews, helps with reference list searching both backward&forward by extracting references and creating search queries, ranks articles by relevance to improve screening efficiency, download full-text pdf of research articles in batch.
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