ASReview LAB - A tool for AI-assisted systematic reviews
ASReview LAB - A tool for AI-assisted systematic reviews
The Active learning for Systematic Reviews (ASReview) project implements learning algorithms that interactively query the researcher. This way of interactive training is known as Active Learning. ASReview offers support for classical learning algorithms and state-of-the-art learning algorithms like neural networks. ASReview LAB is the graphical user interface of the open-source research software and ships with an Oracle, Exploration, and Simulation Mode.
If you use the ASReview software in your work, please cite it as indicated. For referencing the underlying methodology, cite Van de Schoot et al. (2021 - https://doi.org/10.1038/s42256-020-00287-7).
machine learning, systematic review, statistics, active learning, prisma, text data, natural language processing, human-in-the-loop
machine learning, systematic review, statistics, active learning, prisma, text data, natural language processing, human-in-the-loop
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Citations provided by BIP!Popularity provided by BIP!