dsMTL: a computational framework for privacy-preserving, distributed multi-task machine learning. - Han Cao 001; Youcheng Zhang; Jan Baumbach; Paul R. Burton; Dominic B. Dwyer; Nikolaos Koutsouleris; Julian O. Matschinske; Yannick Marcon; Sivanesan Rajan; Thilo Rieg; Patricia Ryser-Welch; Julian Späth; et al. (Bioinform., 2022)

MTLComb: multi-task learning combining regression and classification tasks for joint feature selection. - Han Cao 001; Sivanesan Rajan; Bianka Hahn; Ersoy Kocak; Daniel Durstewitz; Emanuel Schwarz; Verena Schneider-Lindner (CoRR, 2024)