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Yongchao Ma
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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
5662021
ASReview: active learning for systematic reviews
R Van de Schoot, J De Bruin, R Schram, P Zahedi, J De Boer, ...
Zenodo. Dec 20, 2021
182021
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, ...
182021
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, ...
142021
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
102023
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
12021
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
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