G
Gerbrich Ferdinands
Researcher at Utrecht University
Publications - 12
Citations - 249
Gerbrich Ferdinands is an academic researcher from Utrecht University. The author has contributed to research in topics: Computer science & Active learning (machine learning). The author has an hindex of 3, co-authored 10 publications receiving 64 citations.
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An open source machine learning framework for efficient and transparent systematic reviews
Rens van de Schoot,Jonathan de Bruin,Raoul Schram,Parisa Zahedi,Jan de Boer,Felix Weijdema,Bianca Kramer,Martijn Huijts,Maarten Hoogerwerf,Gerbrich Ferdinands,Albert Harkema,Joukje Willemsen,Yongchao Ma,Qixiang Fang,Sybren Hindriks,Lars Tummers,Daniel L. Oberski +16 more
TL;DR: An open source machine learning-aided pipeline applying active learning: ASReview is developed and it is demonstrated by means of simulation studies that active learning can yield far more efficient reviewing than manual reviewing while providing high quality.
Journal ArticleDOI
Open Source Software for Efficient and Transparent Reviews
Rens van de Schoot,Jonathan de Bruin,Raoul Schram,Parisa Zahedi,Jan de Boer,Felix Weijdema,Bianca Kramer,Martijn Huijts,Maarten Hoogerwerf,Gerbrich Ferdinands,Albert Harkema,Joukje Willemsen,Yongchao Ma,Qixiang Fang,Sybren Hindriks,Lars Tummers,Daniel L. Oberski +16 more
TL;DR: An open source machine learning-aided pipeline applying active learning: ASReview is developed and it is demonstrated by means of simulation studies that ASReview can yield far more efficient reviewing than manual reviewing, while providing high quality.
ASReview: Active learning for systematic reviews
Rens van de Schoot,Jonathan de Bruin,Raoul Schram,Parisa Zahedi,Jan de Boer,Felix Weijdema,Bianca Kramer,Martijn Huijts,Maarten Hoogerwerf,Gerbrich Ferdinands,Albert Harkema,Joukje Willemsen,Yongchao Ma,Qixiang Fang,Lars Tummers,Daniel L. Oberski +15 more
Posted Content
ASReview: Open Source Software for Efficient and Transparent Active Learning for Systematic Reviews.
Rens van de Schoot,Jonathan de Bruin,Raoul Schram,Parisa Zahedi,Jan de Boer,Felix Weijdema,Bianca Kramer,Martijn Huijts,Maarten Hoogerwerf,Gerbrich Ferdinands,Albert Harkema,Joukje Willemsen,Yongchao Ma,Qixiang Fang,Lars Tummers,Daniel L. Oberski +15 more
TL;DR: By using active learning, ASReview can lead to far more efficient reviewing than manual reviewing, while exhibiting adequate quality, and the presented software is fully transparent and open source.
Posted Content
Active learning for screening prioritization in systematic reviews - A simulation study
Gerbrich Ferdinands,Raoul Schram,Jonathan de Bruin,Ayoub Bagheri,Daniel L. Oberski,Lars Tummers,Rens van de Schoot +6 more
TL;DR: In this article, the authors provide a comprehensive overview of active learning models for reducing workload in systematic reviews, and provide a methodical overview of such models, including Naive Bayes, logistic regression, support vector machines, and random forest.