Skip to content
ASReview
AI-aided Systematic Reviewing
ASReview
  • Install
  • Product
    • Screen
    • AI
    • Simulate
    • Crowdscreen
  • Solutions
    • For screeners
    • For information specialists
    • For data scientists
    • For developers
    • For institutions
    • For students
  • Resources
    • Documentation
    • Donate
    • Events
    • Reads
Search:
Github page opens in new window
  • Install
  • Product
    • Screen
    • AI
    • Simulate
    • Crowdscreen
  • Solutions
    • For screeners
    • For information specialists
    • For data scientists
    • For developers
    • For institutions
    • For students
  • Resources
    • Documentation
    • Donate
    • Events
    • Reads

Blog

Why ASReview does not make recommendations or show journal information

Long readsBy MelanieFebruary 13, 2026

A minimal bias, truly Human-in-the-Loop system Every so often a discussion item pops up on the ASReview GitHub page with the suggestion that the interface would be even better if it also showed the likelihood that an abstract is relevant, or the journal a record was published in. Sixu Cai, PhD candidate at the DISC-AI…

Introducing the Noisy Label Filter (NLF) procedure in systematic reviews

Long readsBy rutgerSeptember 25, 2023

The ASReview team developed a procedure to overcome replication issues in creating a dataset for simulation studies to evaluate the performance of active learning models! In this blog post, we explain this procedure, called the “Noisy Label Filter (NLF) Procedure”. Background: Labelled Data needed for a Simulation Study In an ASReview simulation study, you can…

About

Team
Community
Code of Conduct
Methodology & Statistics

Research

Disc AI-Lab
Version 2.0
Scientifically proven
Write grants with us

Resources

Discussion
Newsletter
Documentation
Zotero database

Socials

GitHub
Spotify
LinkedIn
YouTube

Go to Top