Rens van de Schoot

16 papers Journal 14Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
ASReview Dory: Bringing new and exciting models to ASReview LAB.
Softw. Impacts
Timo van der Kuil, Jelle Jasper Teijema, Jonathan de Bruin, Rens van de Schoot
2025 J jnl
ASReview LAB v.2: Open-source text screening with multiple agents and a crowd of experts.
Patterns
Jonathan de Bruin, Peter Lombaers, Casper Kaandorp, Jelle Jasper Teijema, Timo van der Kuil, Berke Yazan, Angie Dong, Rens van de Schoot
2025 J jnl
Large-scale simulation study of active learning models for systematic reviews.
Int. J. Data Sci. Anal.
Jelle Jasper Teijema, Jonathan de Bruin, Ayoub Bagheri, Rens van de Schoot
2024 — conf
Combining Large Language Model Classifications and Active Learning for Improved Technology-Assisted Review.
IAL@PKDD/ECML
Michiel P. Bron, Berend Greijn, Bruno Messina Coimbra, Rens van de Schoot, Ayoub Bagheri
2024 J jnl
Makita - A workflow generator for large-scale and reproducible simulation studies mimicking text labeling.
Softw. Impacts
Jelle Jasper Teijema, Rens van de Schoot, Gerbrich Ferdinands, Peter Lombaers, Jonathan de Bruin
2024 J jnl
Optimizing ASReview Simulations: A generic Multiprocessing Solution for 'Light-data' and 'Heavy-data' Users.
Data Intell.
Sergei Romanov, Abel Soares Siqueira, Jonathan de Bruin, Jelle Jasper Teijema, Laura Hofstee, Rens van de Schoot
2023 J jnl
Active learning-based systematic reviewing using switching classification models: the case of the onset, maintenance, and relapse of depressive disorders.
Frontiers Res. Metrics Anal.
Jelle Jasper Teijema, Laura Hofstee, Marlies Brouwer, Jonathan de Bruin, Gerbrich Ferdinands, Jan de Boer, Pablo Vizan, Sofie van den Brand, Claudi Bockting, Rens van de Schoot, Ayoub Bagheri
2021 J jnl
An open source machine learning framework for efficient and transparent systematic reviews.
Nat. Mach. Intell.
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
2020 J jnl
ASReview: Open Source Software for Efficient and Transparent Active Learning for Systematic Reviews.
CoRR
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
2020 J jnl
The Data Representativeness Criterion: Predicting the Performance of Supervised Classification Based on Data Set Similarity.
CoRR
Evelien Schat, Rens van de Schoot, Wouter M. Kouw, Duco Veen, Adriënne M. Mendrik
2019 J jnl
Correction: Veen, D.; Stoel, D.; Schalken, N.; Mulder, K.; Van de Schoot, R. Using the Data Agreement Criterion to Rank Experts' Beliefs.
Entropy
Duco Veen, Diederick Stoel, Naomi Schalken, Kees Mulder, Rens van de Schoot
2019 J jnl
Corrigendum: A Comparison of the Single, Conditional and Person-Specific Standard Error of Measurement: What do They Measure and When to Use Them?
Frontiers Appl. Math. Stat.
Kimberley Lek, Rens van de Schoot
2019 J jnl
How the Choice of Distance Measure Influences the Detection of Prior-Data Conflict.
Entropy
Kimberley Lek, Rens van de Schoot
2018 J jnl
A Comparison of the Single, Conditional and Person-Specific Standard Error of Measurement: What do They Measure and When to Use Them?
Frontiers Appl. Math. Stat.
Kimberley Lek, Rens van de Schoot
2018 J jnl
Using the Data Agreement Criterion to Rank Experts' Beliefs.
Entropy
Duco Veen, Diederick Stoel, Naomi Schalken, Kees Mulder, Rens van de Schoot
2016 — conf
Introducing the Fling - An Innovative Serious Game to Train Behavioral Control in Adolescents: Protocol of a Randomized Controlled Trial.
GALA
Wouter J. Boendermaker, Remco C. Veltkamp, Robbert-Jan Beun, Rens van de Schoot, Margot Peeters