Author

O. Mac Aodha

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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Ecology· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Assay:imaging· 1 Organism:multiple species· 1

Frequent Co-Authors

E. Browning· 2 shared K. E. Jones· 2 shared S. Parsons· 2 shared A. Staniewicz· 1 shared A. Szodoray-Paradi· 1 shared B. Harder· 1 shared E. Damstra· 1 shared E. Tilova· 1 shared

Activity by Year

2017-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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2 shared papersEcology

E. Browning

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2 papers

Recent·Most cited

Towards a General Approach for Bat Echolocation Detection and Classification

O. Mac Aodha, S. Martinez Balvanera, E. Damstra, M. Cooke, P. Eichinski, E. Browning, L. Gilmour, A. Staniewicz, M. Barataud, K. Boughey, R. Coles, G. Giacomini, M. C. Mac Swiney G., M. K. Obrist, S. Parsons, , K. E. Jones

This paper introduces BatDetect2, a deep learning pipeline for detecting and classifying bat echolocation calls, showing improved performance across diverse regions and species.

bioRxiv · Dec 14, 2022 · PreprintEcology

Bat Detective - Deep Learning Tools for Bat Acoustic Signal Detection

O. Mac Aodha, R. Gibb, K. Barlow, E. Browning, M. Firman, R. Freeman, B. Harder, L. Kinsey, G. Mead, S. Newson, I. Pandourski, S. Parsons, J. Russ, A. Szodoray-Paradi, F. Szodoray-Paradi, , K. E. Jones

This paper develops and evaluates open-source deep learning tools for detecting bat echolocation calls in noisy audio recordings, showing improved performance over existing methods.

bioRxiv · Jun 29, 2017Ecology