Author

Christopher J. Sandom

University of SussexORCID 0000-0003-2294-1648Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Assay:imaging· 1 Assay:spatial transcriptomics· 1 Approach:variational autoencoder· 1

Frequent Co-Authors

Alice EldridgeiD· 1 shared I. J. A. SimpsoniD· 1 shared Kieran GibbiD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperEcology

Alice EldridgeORCID

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1 paper

Recent·Most cited

EcologyEcological InformaticsPeer-reviewedDec 29, 2023

Towards interpretable learned representations for Ecoacoustics using variational auto-encoding

Kieran Gibb, Alice Eldridge, Christopher J. Sandom, I. J. A. Simpson

This paper develops a variational auto-encoder to learn interpretable acoustic features from ecoacoustic data and demonstrates its ability to infer habitat degradation levels.

38 citationstop 4%

spatial transcriptomicsimaging

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