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ASReview
AI-aided Systematic Reviewing
ASReview
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Featured

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Optimizing ASReview simulations

Data, Featured, Scientific Papers, Simulation Studies, Special Use-CasesBy rensJanuary 22, 2024

Optimizing ASReview simulations with multiprocessing solutions for ‘light-data’ and ‘heavy-data’ users via a Kubernetes cluster.

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The FORAS project

Data, Featured, Scientific Papers, Simulation Studies, Special Use-CasesBy rensJanuary 11, 2024

The FORAS project will replicate and extend an original review integrating advanced machine-learning techniques via the OpenAlex database.

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Reproducibility and Data storage for Active Learning-Aided Systematic Reviews

Data, Featured, Scientific Papers, Simulation StudiesBy rensJune 5, 2023

This systematic review focused on synthesizing information on studies that evaluated the performance of Active Learning compared to human reading.

ASReview paper explosion
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Paper introducing the ASReview project

Featured, Scientific PapersBy rensFebruary 1, 2021

We show that by using active learning, ASReview can lead to far more efficient reviewing than manual reviewing, while exhibiting adequate quality. Furthermore, the presented software is fully transparent and open source.

ASReview LAB
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ASReview LAB

Featured, Introduction, SoftwareBy sofieJuly 22, 2019

ASReview LAB is user-friendly software for exploring the future of AI in systematic reviews. The software implements an Oracle Mode, an Exploration Mode, and a Simulation Mode.

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Read the Docs

Documentation, FeaturedBy sofieJanuary 6, 2019

All the documentation surrounding ASReview, from API to the Zen of ELAS, can be found within the Read the Docs. If you want to know more about ASReview, this is the place to be! Main topics include: An introduction, ASReview LAB, Features, Extensions & API

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