Author

A. M. Hein

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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Assay:behavioral assay· 1 Research Focus:benchmarking· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Organism:zebrafish· 1

Frequent Co-Authors

A. K. Fahimipour· 2 shared M. R. Celis· 2 shared A. Manjunath· 1 shared B. Burford· 1 shared B. T. Belcher· 1 shared B. T. Martin· 1 shared B. Vaca· 1 shared E. H. Bower· 1 shared

Activity by Year

2022-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersEcology

A. K. Fahimipour

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2 papers

Recent·Most cited

Demystifying image-based machine learning: A practical guide to automated analysis of field imagery using modern machine learning tools

B. T. Belcher, E. H. Bower, B. Burford, M. R. Celis, A. K. Fahimipour, I. L. Guevara, K. Katija, Z. Khokhar, A. Manjunath, S. Nelson, S. Olivetti, E. Orenstein, M. H. Saleh, B. Vaca, S. Valladares, , A. M. Hein

This paper provides a practical guide to applying image-based machine learning for marine research, demonstrating data preparation, model training, and troubleshooting techniques with a case study.

bioRxiv · Dec 24, 2022 · PreprintEcology

Wild animals suppress the spread of socially-transmitted misinformation

A. K. Fahimipour, M. A. Gil, M. R. Celis, G. F. Hein, B. T. Martin, A. M. Hein

The paper studies how wild coral reef fish manage misinformation spread through dynamic sensitivity adjustments in decision-making.

bioRxiv · Aug 23, 2022 · PreprintEcology