Industrial Engineering and Management Sciences PhD Program

Search results

• Using natural language processing and machine learning to identify breast cancer local recurrence

  Zeng, Z. (Contributor), Espino, S. (Contributor), Roy, A. (Contributor), Li, X. (Contributor), Khan, S. A. (Creator), Clare, S. E. (Creator), Jiang, X. (Creator), Neapolitan, R. (Creator) & Luo, Y. (Creator), figshare, 2018

  DOI: 10.6084/m9.figshare.c.4349627.v1, https://springernature.figshare.com/collections/Using_natural_language_processing_and_machine_learning_to_identify_breast_cancer_local_recurrence/4349627/1

  Dataset

• Additional file 2: of Using natural language processing and machine learning to identify breast cancer local recurrence

  Zeng, Z. (Contributor), Espino, S. (Contributor), Roy, A. (Contributor), Li, X. (Contributor), Khan, S. A. (Creator), Clare, S. E. (Creator), Jiang, X. (Creator), Neapolitan, R. (Creator) & Luo, Y. (Creator), figshare, 2018

  DOI: 10.6084/m9.figshare.7528166, https://springernature.figshare.com/articles/Additional_file_2_of_Using_natural_language_processing_and_machine_learning_to_identify_breast_cancer_local_recurrence/7528166

  Dataset

• Additional file 1: of Using natural language processing and machine learning to identify breast cancer local recurrence

  Zeng, Z. (Contributor), Espino, S. (Contributor), Roy, A. (Contributor), Li, X. (Contributor), Khan, S. A. (Creator), Clare, S. E. (Creator), Jiang, X. (Creator), Neapolitan, R. (Creator) & Luo, Y. (Creator), figshare, 2018

  DOI: 10.6084/m9.figshare.7528163, https://springernature.figshare.com/articles/Additional_file_1_of_Using_natural_language_processing_and_machine_learning_to_identify_breast_cancer_local_recurrence/7528163

  Dataset

• Density Deconvolution With Additive Measurement Errors Using Quadratic Programming

  Yang, R. (Creator), Apley, D. (Creator), Staum, J. (Creator) & Ruppert, D. (Creator), Taylor & Francis, 2021

  DOI: 10.6084/m9.figshare.11396871.v3, https://tandf.figshare.com/articles/dataset/Density_Deconvolution_with_Additive_Measurement_Errors_using_Quadratic_Programming_revision_/11396871/3

  Dataset

• Systemic risk components in a network model of contagion

  Staum, J. (Creator), Feng, M. (Contributor) & Liu, M. (Creator), figshare, 2016

  DOI: 10.6084/m9.figshare.1623215.v2, https://figshare.com/articles/Systemic_Risk_Components_in_a_Network_Model_of_Contagion/1623215/2 and one more link, https://figshare.com/articles/Systemic_Risk_Components_in_a_Network_Model_of_Contagion/1623215/1 (show fewer)

  Dataset

• Density Deconvolution with Additive Measurement Errors using Quadratic Programming (revision)

  Yang, R. (Creator), Apley, D. (Creator), Staum, J. (Creator) & Ruppert, D. (Creator), Taylor & Francis, 2019

  DOI: 10.6084/m9.figshare.11396871.v1, https://tandf.figshare.com/articles/Density_Deconvolution_with_Additive_Measurement_Errors_using_Quadratic_Programming_revision_/11396871/1

  Dataset