Author

Pavel Pipek

Czech Academy of SciencesORCID 0000-0003-1116-1013Unclaimed 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:ecology & biodiversity· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Approach:large language model· 1

Frequent Co-Authors

Ana NovoaiD· 1 shared Andry CastroiD· 1 shared César CapinhaiD· 1 shared João PintoiD· 1 shared Luís ReinoiD· 1 shared Niels BillietiD· 1 shared Philip Eric HulmeiD· 1 shared Quentin GroomiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperEcology

Ana NovoaORCID

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2 papers

Recent·Most cited

EcologybioRxivPreprintFeb 7, 2026

Can data mining from various internet platforms systematically accelerate detection of alien species invasions across the EU?

Simon Reynaert, Niels Billiet, Pavel Pipek…·Quentin Groom

This study tests if internet activity can systematically accelerate detection of invasive alien species in the EU by analyzing 88 species across 14 platforms.

DOI 10.64898/2026.02.06.704325

experimental assayecology & biodiversity

𝕏 PostBluesky

EcologyEcological InformaticsPeer-reviewedAug 2, 2024

Large language models overcome the challenges of unstructured text data in ecology

Andry Castro, João Pinto, Luís Reino…·César Capinha

This study evaluates three large language models for automating ecological data extraction from text, finding GPT 4 performs best across tasks with high accuracy.

59 citationstop 2%

deep learninglarge language model

𝕏 PostBluesky