Designing machine learning workflows with an application to topological data analysis

Eric Cawi; Patricio S. La Rosa; Arye Nehorai

doi:10.1371/journal.pone.0225577

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Open Access

Peer-reviewed

Research Article

Designing machine learning workflows with an application to topological data analysis

Eric Cawi,

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Writing – original draft

Affiliation Preston M. Green Department of Electrical and Systems Engineering, Washington University in St. Louis, St. Louis, MO, United States of America
⨯
Patricio S. La Rosa,

Roles Conceptualization, Supervision, Validation

Affiliation Global IT Analytics, Crop Science Division, Bayer Company, Saint Louis, MO, United States of America
⨯
Arye Nehorai

Roles Conceptualization, Project administration, Supervision, Validation

* E-mail: nehorai@wustl.edu

¶‡ Senior Author

Affiliation Preston M. Green Department of Electrical and Systems Engineering, Washington University in St. Louis, St. Louis, MO, United States of America

http://orcid.org/0000-0002-9055-9865

⨯

Designing machine learning workflows with an application to topological data analysis

Eric Cawi,
Patricio S. La Rosa,
Arye Nehorai

Published: December 2, 2019
https://doi.org/10.1371/journal.pone.0225577

About the Authors

Eric Cawi

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Writing – original draft

Affiliation Preston M. Green Department of Electrical and Systems Engineering, Washington University in St. Louis, St. Louis, MO, United States of America

Patricio S. La Rosa

Roles Conceptualization, Supervision, Validation

Affiliation Global IT Analytics, Crop Science Division, Bayer Company, Saint Louis, MO, United States of America

Arye Nehorai

Roles Conceptualization, Project administration, Supervision, Validation

* E-mail: nehorai@wustl.edu

¶‡ Senior Author

Affiliation Preston M. Green Department of Electrical and Systems Engineering, Washington University in St. Louis, St. Louis, MO, United States of America

http://orcid.org/0000-0002-9055-9865

Competing Interests

P.S. La Rosa has an affiliation to Bayer Company in St. Louis, MO. This does not alter our adherence to PLOS ONE policies on sharing data and materials.

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Trees
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Vector spaces
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