Yi Zheng

Search results

• Using Machine Learning Methods to Develop a Short Tree-Based Adaptive Classification Test: Case Study With a High-Dimensional Item Pool and Imbalanced Data

  Zheng, Y. (Creator), Cheon, H. (Contributor) & Katz, C. M. (Creator), figshare SAGE Publications, 2020

  DOI: 10.25384/sage.c.5029571.v1, https://sage.figshare.com/collections/Using_Machine_Learning_Methods_to_Develop_a_Short_Tree-Based_Adaptive_Classification_Test_Case_Study_With_a_High-Dimensional_Item_Pool_and_Imbalanced_Data/5029571/1

  Dataset

• Honduras_tree_APM_online_supplement_V4_for_publisher – Supplemental material for Using Machine Learning Methods to Develop a Short Tree-Based Adaptive Classification Test: Case Study With a High-Dimensional Item Pool and Imbalanced Data

  Zheng, Y. (Contributor), Cheon, H. (Contributor) & Katz, C. M. (Contributor), figshare SAGE Publications, Jan 1 2020

  DOI: 10.25384/sage.12514493.v1, https://doi.org/10.25384%2Fsage.12514493.v1

  Dataset

• Using Machine Learning Methods to Develop a Short Tree-Based Adaptive Classification Test: Case Study With a High-Dimensional Item Pool and Imbalanced Data

  Zheng, Y. (Creator), Cheon, H. (Creator) & Katz, C. M. (Creator), SAGE Journals, 2020

  DOI: 10.25384/sage.c.5029571.v1, https://sage.figshare.com/collections/Using_Machine_Learning_Methods_to_Develop_a_Short_Tree-Based_Adaptive_Classification_Test_Case_Study_With_a_High-Dimensional_Item_Pool_and_Imbalanced_Data/5029571/1

  Dataset

• MOESM1 of Different evolution acceptance instruments lead to different research findings

  Holt, E. A. (Contributor), Barnes, M. E. (Contributor), Zheng, Y. (Contributor), Brownell, S. E. (Contributor) & Dunlop, H. M. (Contributor), figshare Academic Research System, Jan 1 2019

  DOI: 10.6084/m9.figshare.7654028.v1, https://doi.org/10.6084%2Fm9.figshare.7654028.v1

  Dataset

• Different evolution acceptance instruments lead to different research findings

  Barnes, M. E. (Creator), Dunlop, H. M. (Creator), Holt, E. A. (Creator), Zheng, Y. (Creator) & Brownell, S. E. (Creator), figshare Academic Research System, 2019

  DOI: 10.6084/m9.figshare.c.4384547.v1, https://springernature.figshare.com/collections/Different_evolution_acceptance_instruments_lead_to_different_research_findings/4384547/1

  Dataset

• Using Machine Learning Methods to Develop a Short Tree-Based Adaptive Classification Test: Case Study With a High-Dimensional Item Pool and Imbalanced Data

  Zheng, Y. (Creator), Cheon, H. (Contributor) & Katz, C. M. (Creator), SAGE Journals, 2020

  DOI: 10.25384/sage.c.5029571, https://sage.figshare.com/collections/Using_Machine_Learning_Methods_to_Develop_a_Short_Tree-Based_Adaptive_Classification_Test_Case_Study_With_a_High-Dimensional_Item_Pool_and_Imbalanced_Data/5029571

  Dataset

• Using Machine Learning Methods to Develop a Short Tree-Based Adaptive Classification Test: Case Study With a High-Dimensional Item Pool and Imbalanced Data

  Zheng, Y. (Creator), Cheon, H. (Creator) & Katz, C. M. (Creator), SAGE Journals, 2020

  DOI: 10.25384/sage.c.5029571, https://sage.figshare.com/collections/Using_Machine_Learning_Methods_to_Develop_a_Short_Tree-Based_Adaptive_Classification_Test_Case_Study_With_a_High-Dimensional_Item_Pool_and_Imbalanced_Data/5029571

  Dataset

• Evaluating the current state of evolution acceptance instruments: a research coordination network meeting report

  Zheng, Y. (Creator), Townley, A. L. (Creator), Barnes, M. E. (Creator), Brownell, S. E. (Creator), Jensen, J. L. (Creator), Nadelson, L. S. (Creator), Aini, R. Q. (Creator), Misheva, T. (Creator), Holt, E. A. (Creator), Dunk, R. D. P. (Creator), Wiles, J. R. (Creator), Reiss, M. J. (Creator), Collins, J. P. (Creator), Romine, W. L. (Creator), Klein, J. R. (Creator) & Shtulman, A. (Creator), Figshare, 2024

  DOI: 10.6084/m9.figshare.c.7038152.v1, https://springernature.figshare.com/collections/Evaluating_the_current_state_of_evolution_acceptance_instruments_a_research_coordination_network_meeting_report/7038152/1

  Dataset

• Evaluating the current state of evolution acceptance instruments: a research coordination network meeting report

  Townley, A. L. (Creator), Nadelson, L. S. (Creator), Zheng, Y. (Creator), Brownell, S. E. (Creator), Misheva, T. (Creator), Klein, J. R. (Creator), Aini, R. Q. (Creator), Jensen, J. L. (Creator), Barnes, M. E. (Creator), Reiss, M. J. (Creator), Collins, J. P. (Creator), Romine, W. L. (Creator), Shtulman, A. (Creator), Dunk, R. D. P. (Creator), Wiles, J. R. (Creator) & Holt, E. A. (Creator), Figshare, 2024

  DOI: 10.6084/m9.figshare.c.7038152, https://springernature.figshare.com/collections/Evaluating_the_current_state_of_evolution_acceptance_instruments_a_research_coordination_network_meeting_report/7038152

  Dataset

• Different evolution acceptance instruments lead to different research findings

  Barnes, M. E. (Creator), Dunlop, H. M. (Creator), Holt, E. A. (Creator), Zheng, Y. (Creator) & Brownell, S. E. (Creator), Figshare, 2019

  DOI: 10.6084/m9.figshare.c.4384547, https://springernature.figshare.com/collections/Different_evolution_acceptance_instruments_lead_to_different_research_findings/4384547

  Dataset