An open source machine learning framework for efficient and transparent systematic reviews R Van De Schoot, J De Bruin, R Schram, P Zahedi, J De Boer, ... Nature machine intelligence 3 (2), 125-133, 2021 | 566 | 2021 |
ASReview: active learning for systematic reviews R Van de Schoot, J De Bruin, R Schram, P Zahedi, J De Boer, ... Zenodo. Dec 20, 2021 | 18 | 2021 |
An open source machine learning framework for efficient and transparent systematic reviews. Nat Mach Intell 3: 125–133 R van de Schoot, J de Bruin, R Schram, P Zahedi, J de Boer, F Weijdema, ... | 18 | 2021 |
An open source machine learning framework for efficient and transparent systematic reviews. Nature Machine Intelligence, 3 (2), 125-133 R Van de Schoot, J De Bruin, R Schram, P Zahedi, J De Boer, ... | 14 | 2021 |
SYNERGY-Open machine learning dataset on study selection in systematic reviews J De Bruin, Y Ma, G Ferdinands, J Teijema, R Van de Schoot Version V1, 2023 | 10 | 2023 |
An open source machine learning framework for efficient and transparent systematic reviews. Nat Mach Intell. 2021; 3 (2): 125–33 R Van De Schoot, J De Bruin, R Schram, P Zahedi, J De Boer, ... | 9 | |
Optimal Stratification in Bayesian Adaptive Survey Designs Y Ma, N Mushkudiani, B Schouten Master’s thesis). Presented in the ninth conference of the European Survey …, 2021 | 1 | 2021 |
Latent transition analysis of time-varying cannabis use motives to inform adaptive interventions. BT West, Y Ma, S Lankenau, CF Wong, EE Bonar, ME Patrick, MA Walton, ... Psychology of Addictive Behaviors, 2024 | | 2024 |
Leveraging Survey Variables to Estimate Response Propensity in Bayesian Adaptive Survey Design: A Simulation Study Y Ma 79th Annual AAPOR Conference, 2024 | | 2024 |
Daily Web Survey Data Collection to Improve Health: Temporal Dynamics of Cannabis Use Motives and Context, with Implications for Adaptive Interventions Y Ma, BT West, S McCabe 79th Annual AAPOR Conference, 2024 | | 2024 |
ASReview: open source software for efficient and transparent active learning for systematic reviews R van de Schoot, J de Bruin, RD Schram, P Zahedi, J de Boer, ... arXiv preprint ArXiv:2006.12166, 2020 | | 2020 |