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.
PhD Minisymposium of the Budapest University of Technology and Economics, Department of Artificial Intelligence and Systems Engineering · Jan 1, 2023Peer-reviewedBioinformatics