Author

Cameron J. Fiss

University of PittsburghORCID 0000-0002-5649-6880Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 2 Organism:multiple species· 2 Research Focus:ecology & biodiversity· 1 Research Focus:host-pathogen & immune response· 1 Assay:imaging· 1 Assay:metagenomics· 1

Frequent Co-Authors

Jeffery L. LarkiniD· 2 shared Justin A. KitzesiD· 2 shared Lauren M. ChronisteriD· 2 shared Anthony W. D’AmatoiD· 1 shared Chapin CzarneckiiD· 1 shared Darin J. McNeiliD· 1 shared David I. KingiD· 1 shared Erin M. BayneiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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2 shared papersEcology

Jeffery L. LarkinORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Leveraging Light Detection and Ranging (LiDAR) to Elucidate Forest Structural Conditions that Influence Eastern Whip-poor-will Abundance

Jeffery T. Larkin, Malcolm S. Itter, Cameron J. Fiss, Lauren M. Chronister, Justin A. Kitzes, Jeffery L. Larkin, Halie Parker Larkin, Darin J. McNeil, Anthony W. D’Amato, Michael E. Akresh, David I. King

The paper uses LiDAR and audio recordings to identify forest structural factors influencing eastern whip-poor-will abundance in Pennsylvania.

bioRxiv · Jun 26, 2025Ecology

Automated identification of individual birds by song enables multi-year recapture from passive acoustic monitoring data

Sam Lapp, R. Patrick Lyon, Scott J. Wilson, Tessa A. Rhinehart, Chapin Czarnecki, Lauren M. Chronister, Cameron J. Fiss, Jeffery L. Larkin, Erin M. Bayne, Justin A. Kitzes

This paper introduces an automated method to identify individual birds by song, enabling multi-year recapture from acoustic data with 96% accuracy.

bioRxiv · Jun 26, 2025 · PreprintEcology