Author

Allison Y. Hsiang

Stockholm UniversityORCID 0000-0002-9384-8099Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:machine learning (classical)· 1 Research Focus:phylogenetics / evolution· 1 Approach:statistical model· 1

Frequent Co-Authors

Akinobu WatanabeiD· 1 shared Chao MaiD· 1 shared Congyu YuiD· 1 shared Daniel J. FieldiD· 1 shared Elizabeth M. SteelliD· 1 shared Emily J. RayfieldiD· 1 shared Fangbo QiniD· 1 shared Haibing WangiD· 1 shared

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2024-2025 · peak 1/yr

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10 top collaborators · 29 mutual co-author links

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1 shared paperPaleontology

Akinobu WatanabeORCID

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2 papers

Recent·Most cited

Evolutionary BiologyZoological Journal of the Linnean SocietyPeer-reviewedMay 1, 2025

Relative Homoplasy Index: A New Cross-comparable Metric for Quantifying Homoplasy in Discrete Character Datasets

Elizabeth M. Steell, Allison Y. Hsiang, Daniel J. Field

This paper introduces a new metric, the relative homoplasy index (RHI), to quantify homoplasy in phylogenetic datasets, showing it outperforms existing methods like CI and RI.

9 citationstop 2%

statistical modelphylogenetics / evolution

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PaleontologyEarth-Science ReviewsPeer-reviewedApr 1, 2024

AI in Paleontology

Congyu Yu, Fangbo Qin, Akinobu Watanabe…·Xing Xu

This paper reviews AI applications in paleontology, highlighting a gap between paleontological AI and mainstream AI studies, and discusses future directions for integrating AI into paleontological research.

53 citationstop 3%

machine learning (classical)benchmarking

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