Author

Axel Prouvost

IMT Mines Alès

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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Bioinformatics· 1 Plant Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Assay:imaging· 1 Organism:plant (other)· 1 Assay:protein sequence· 1

Frequent Co-Authors

Baptiste MagnieriD· 1 shared Clément PlessisiD· 1 shared Hélène FrévilleiD· 1 shared Jacques DavidiD· 1 shared Jun Hyuck Lee· 1 shared Léna Connesson· 1 shared Louis DumontetiD· 1 shared Mingon KangiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperPlant Biology

Baptiste MagnierORCID

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2 papers

Recent·Most cited

Easy to use and low cost leaf disease quantification workflow using Ilastik

Axel Prouvost, Léna Connesson, Titouan Le Gourrierec, Hélène Fréville, Jacques David, Baptiste Magnier, Clément Plessis

The paper presents a semi-automated image analysis workflow for quantifying foliar disease symptoms in wheat using Ilastik, achieving high segmentation accuracy with limited training data.

bioRxiv · May 16, 2026 · PreprintPlant Biology

Interpretable Kolmogorov-Arnold Networks for Enzyme Commission Number Prediction

Louis Dumontet, So‐Ra Han, Axel Prouvost, Jun Hyuck Lee, Tae‐Jin Oh, Mingon Kang

This paper integrates Kolmogorov-Arnold Networks (KANs) into deep learning models for EC number prediction, showing improved performance and introducing an interpretation method to identify relevant features.

npj Artificial Intelligence · Jan 20, 2026Peer-reviewedBioinformatics