Author

Benjamin P. Cossins

ORCID 0000-0002-6699-8833Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Alžbeta KubincováiD· 1 shared Antonia S. J. S. MeyiD· 1 shared Benjamin S. Suutari· 1 shared Rohan GorantlaiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

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4 top collaborators · 6 mutual co-author links

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1 shared paperBioinformatics

Alžbeta KubincováORCID

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1 paper

Recent·Most cited

Benchmarking active learning protocols for ligand binding affinity prediction

Rohan Gorantla, Alžbeta Kubincová, Benjamin S. Suutari, Benjamin P. Cossins, Antonia S. J. S. Mey

This study benchmarks active learning protocols for predicting ligand binding affinity using machine learning models and evaluates the impact of batch size and noise on performance.

Journal of Chemical Information and Modeling · Mar 6, 2024Peer-reviewedBioinformatics