Author

Quentin Haas

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

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

Frequent Co-Authors

Aziz Mert IpekciiD· 1 shared Diana Buitrago‐GarcíaiD· 1 shared Douglas TeodoroiD· 1 shared Hira ImeriiD· 1 shared Julien KnafouiD· 1 shared Leonie HeroniD· 1 shared Michel Jacques CounotteiD· 1 shared Nicola N LowiD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Aziz Mert IpekciORCID

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1 paper

Recent·Most cited

Ensemble of deep learning language models to support the creation of living systematic reviews for the COVID-19 literature

Julien Knafou, Quentin Haas, Nikolay Borissov, Michel Jacques Counotte, Nicola N Low, Hira Imeri, Aziz Mert Ipekci, Diana Buitrago‐García, Leonie Heron, Poorya Amini, Douglas Teodoro

This paper uses an ensemble of deep learning language models to classify and rank COVID-19 publications, outperforming standalone models in accuracy and confidence.

bioRxiv · Jan 18, 2023 · PreprintBioinformatics