Author

Aisha Lawal Shuaibu

University of SussexORCID 0000-0002-6061-2231Unclaimed 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· 1 Approach:deep learning· 1 Research Focus:ecology & biodiversity· 1 Approach:variational autoencoder· 1

Frequent Co-Authors

Alice EldridgeiD· 1 shared Ivor SimpsoniD· 1 shared Kieran GibbiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

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

EcologybioRxivPreprintDec 11, 2025

Modelling temporal shift-invariance in self-supervised generative models improves accuracy and interpretability of species detection in soundscape recordings

Kieran Gibb, Alice Eldridge, Aisha Lawal Shuaibu, Ivor Simpson

The paper improves species detection in soundscape recordings by modifying VAEs to model temporal shift-invariance, enhancing accuracy and interpretability compared to existing methods.

DOI 10.64898/2025.12.09.693207

deep learningvariational autoencoder

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