Author

J. Alison

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· 4

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 4 Approach:deep learning· 3 Assay:imaging· 3 Research Focus:clustering· 2 Approach:contrastive learning· 1 Research Focus:differential expression· 1 Assay:fluorescence / live-cell microscopy· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

H. M. R. Mann· 3 shared T. T. Hoye· 3 shared K. Bjerge· 2 shared M. Dyrmann· 2 shared A. D. Bjorkman· 1 shared B. Emmett· 1 shared C. E. Frigaard· 1 shared D. A. Robinson· 1 shared

Activity by Year

2022-2023 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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3 shared papersEcology

H. M. R. Mann

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Deep learning to extract the meteorological by-catch of wildlife cameras

J. Alison, S. Payne, J. M. Alexander, A. D. Bjorkman, V. R. Clarke, O. Gwate, M. Huntsaar, E. Iseli, J. Lenoir, H. M. R. Mann, S.-L. Steenhuisen, T. T. Hoye

This paper develops deep learning models to extract micrometeorological data from wildlife camera images, showing improved accuracy and revealing ecological insights.

bioRxiv · Sep 25, 2023Ecology

Hierarchical Classification of Insects with Multitask Learning and Anomaly Detection

K. Bjerge, Q. Geissmann, J. Alison, H. M. R. Mann, T. T. Hoye, M. Dyrmann, H. Karstoft

This paper presents an algorithm for hierarchical insect classification using multitask learning and anomaly detection, improving accuracy at higher taxonomic ranks while identifying classification uncertainty.

bioRxiv · Jun 29, 2023Ecology

A diversity of diversities: do complex environmental effects underpin associations between below- and aboveground taxa?

F. M. Seaton, P. B. George, J. Alison, D. L. Jones, S. Creer, S. M. Smart, B. Emmett, D. A. Robinson

This study examines how environmental factors and biotic interactions shape biodiversity relationships between above- and belowground taxa across multiple habitats in Wales.

bioRxiv · Jun 7, 2023 · PreprintEcology

Accurate detection and identification of insects from camera trap images with deep learning

K. Bjerge, J. Alison, M. Dyrmann, C. E. Frigaard, H. M. R. Mann, T. T. Hoye

This paper presents a large insect image dataset and evaluates YOLO models for accurate detection and identification of insects in camera trap images.

bioRxiv · Oct 25, 2022 · PreprintEcology