Author

A. M. Searfoss

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Animal Behavior & Cognition· 1 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Organism:chicken / avian· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Assay:imaging· 1 Assay:proteomics· 1 Research Focus:software / tool· 1

Frequent Co-Authors

N. Creanza· 2 shared J. C. Pino· 1 shared Y. Pichkar· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 2 mutual co-author links

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2 shared papersEvolutionary Biology

N. Creanza

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2 papers

Recent·Most cited

Evolutionary BiologybioRxivPreprintJan 23, 2023

Detecting cultural evolution in a songbird species using community-science data and computational modeling

Y. Pichkar, A. M. Searfoss, N. Creanza

The paper analyzes chipping sparrow song data over nearly seven decades and uses an agent-based model to infer song-learning strategies, finding low copy-error rates and rejecting neutral or conformity-based transmission.

DOI 10.1101/2023.01.23.525255

chicken / avianimaging

𝕏 PostBluesky

Animal Behavior & CognitionbioRxivOct 17, 2019

Chipper: Open-source software for semi-automated segmentation and analysis of birdsong and other natural sounds

A. M. Searfoss, J. C. Pino, N. Creanza

Chipper is an open-source tool for semi-automated birdsong analysis, providing segmentation and feature extraction with synthetic data testing its accuracy.

DOI 10.1111/2041-210x.13368

proteomicsexperimental assay

𝕏 PostBluesky