Author

Nikolay Borissov

University of BernORCID 0000-0002-8423-9873Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:deep learning· 1 Approach:statistical model· 1

Frequent Co-Authors

Douglas TeodoroiD· 2 shared Poorya AminiiD· 2 shared Aziz Mert IpekciiD· 1 shared David Vicente AlvareziD· 1 shared Diana Buitrago‐GarcíaiD· 1 shared Elham KashaniiD· 1 shared Hira ImeriiD· 1 shared Jenny CoparaiD· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersBioinformatics

Douglas TeodoroORCID

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2 papers

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

Information retrieval in an infodemic: the case of COVID-19 publications

Douglas Teodoro, Sohrab Ferdowsi, Nikolay Borissov, Elham Kashani, David Vicente Alvarez, Jenny Copara, Racha Gouareb, Nona Naderi, Poorya Amini

The paper presents an information retrieval methodology for finding relevant COVID-19 publications in an infodemic, achieving competitive results in the TREC-COVID challenge.

Journal of Medical Internet Research · Aug 5, 2021Peer-reviewedBioinformatics