Victoria M. Catterson

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Brian G. Stewart

> Home > Persons > Victoria M. Catterson

Publications

2021
[j11]
- view
  authority control:
- export record
  dblp key:
  - journals/tsmc/AizpuruaCSMLC21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/tsmc/AizpuruaCSMLC21
Jose Ignacio Aizpurua, Victoria M. Catterson, Brian G. Stewart, Stephen D. J. McArthur, Brandon Lambert, James G. Cross:
Uncertainty-Aware Fusion of Probabilistic Classifiers for Improved Transformer Diagnostics. IEEE Trans. Syst. Man Cybern. Syst. 51(1): 621-633 (2021)
2019
[j9]
- view
  authority control:
- export record
  dblp key:
  - journals/asc/AizpuruaSMLCC19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/asc/AizpuruaSMLCC19
Jose Ignacio Aizpurua, Brian G. Stewart, Stephen D. J. McArthur, Brandon Lambert, James G. Cross, Victoria M. Catterson:
Improved power transformer condition monitoring under uncertainty through soft computing and probabilistic health index. Appl. Soft Comput. 85 (2019)
[j8]
- view
  authority control:
- export record
  dblp key:
  - journals/tie/AizpuruaMSLCC19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/tie/AizpuruaMSLCC19
Jose Ignacio Aizpurua, Stephen D. J. McArthur, Brian G. Stewart, Brandon Lambert, James G. Cross, Victoria M. Catterson:
Adaptive Power Transformer Lifetime Predictions Through Machine Learning and Uncertainty Modeling in Nuclear Power Plants. IEEE Trans. Ind. Electron. 66(6): 4726-4737 (2019)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.