Simulation package used for simulating systematic reviews for my Master's thesis
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Updated
May 14, 2020 - Python
Simulation package used for simulating systematic reviews for my Master's thesis
A visualiztaion library to create the plots for my thesis project asreview-thesis.
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)
Extension for ASReview Lab for postprocessing the output of Screening
The research archive accompanying my master thesis project
Hyperparameter-training for the Mega-Meta project
ASReview Classifer Model Extension with ensemble classifiers
Scripts for a simulation on the effect of dataset size on neural network performance for active learning applied to systematic reviewing
A model extension for ASReview. ASReview multilingual feature extractor is a feature extractor based on distiluse-base-multilingual-cased-v1.
Scripts to run simulations of systematic reviews with ASReview for 14 datasets openly published on the Dutch database for medical guidelines.
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"
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".
An extension for ASReview Lab to preprocess the dataset before importing in ASReview
Docker compose for setting up ASReview server with authentication
Repository containing data regarding research into switching models during classifing, and the use of CNNs
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