2 papers
q-bio.QM2024
dsLassoCov: a federated machine learning approach incorporating covariate control
Han Cao, Augusto Anguita, Charline Warembourg +8
Machine learning has been widely adopted in biomedical research, fueled by the increasing availability of data. However, integrating datasets across institutions is challenging due…
cs.LG2024
MTLComb: multi-task learning combining regression and classification tasks for joint feature selection
Han Cao, Sivanesan Rajan, Bianka Hahn +4
Multi-task learning (MTL) is a learning paradigm that enables the simultaneous training of multiple communicating algorithms. Although MTL has been successfully applied to ether re…