Author

Thomas Houet

Centre National de la Recherche ScientifiqueORCID 0000-0001-5890-6145Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Ecology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:imaging· 1

Frequent Co-Authors

Aimi Okabayashi· 1 shared Augustin De la BrosseiD· 1 shared Thomas CorpettiiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperEcology

Aimi Okabayashi

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

EcologybioRxivPreprintOct 30, 2026

Advancing Spatial Pattern Integration in Species Distribution Modelling With Computer Vision: How Grain Size and Extent Concepts Shape Predictions of Emerging Aquatic Insects

Augustin De la Brosse, Aimi Okabayashi, Thomas Corpetti, Thomas Houet

This paper evaluates how grain size and window extent affect Deep SDMs for predicting aquatic insect distributions, finding significant performance variations with different resolutions and extents.

DOI 10.64898/2026.10.29.762482

imagingdeep learning

𝕏 PostBluesky