DISCO: A deep learning ensemble for uncertainty-aware segmentation of acoustic signals

• Thomas Colligan ,

  Contributed equally to this work with: Thomas Colligan, Kayla Irish

  Roles Conceptualization, Investigation, Methodology, Software, Visualization, Writing – original draft

  Affiliations College of Pharmacy, University of Arizona, Tucson, AZ, United States of America, Department of Computer Science, University of Montana, Missoula, MT, United States of America

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• Kayla Irish ,

  Contributed equally to this work with: Thomas Colligan, Kayla Irish

  Roles Conceptualization, Data curation, Methodology, Software, Writing – review & editing

  Affiliations Department of Computer Science, University of Montana, Missoula, MT, United States of America, Department of Statistics, University of Washington, Seattle, WA, United States of America

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• Douglas J. Emlen,

  Roles Conceptualization, Data curation, Resources, Writing – review & editing

  Affiliation Division of Biological Sciences, University of Montana, Missoula, MT, United States of America

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• Travis J. Wheeler

  Roles Conceptualization, Investigation, Project administration, Supervision, Writing – original draft, Writing – review & editing

  * E-mail: twheeler@arizona.edu

  Affiliations College of Pharmacy, University of Arizona, Tucson, AZ, United States of America, Department of Computer Science, University of Montana, Missoula, MT, United States of America

  https://orcid.org/0000-0003-2004-1785

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