Author

Dániel Benjámin Sándor

Budapest University of Technology and EconomicsORCID 0000-0002-9707-3104Unclaimed 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:drug response / drug discovery· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Péter AntaliD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

1 paper

Recent·Most cited

BioinformaticsPhD Minisymposium of the Budapest University of Technology and Economics, Department of Artificial Intelligence and Systems EngineeringPeer-reviewedJan 1, 2023

Transfer learning in heterogeneous drug-target interaction predictions using federated boosting

Dániel Benjámin Sándor, Péter Antal

This paper develops a federated boosting approach for drug-target interaction prediction, enhancing transfer learning in heterogeneous tasks with limited data.

3 citations

machine learning (classical)experimental assay

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