Towards an axiomatic approach to hierarchical clustering of measures. - Philipp Thomann; Ingo Steinwart; Nico Schmid (J. Mach. Learn. Res., 2015)

Learning with Hierarchical Gaussian Kernels. - Ingo Steinwart; Philipp Thomann; Nico Schmid (CoRR, 2016)

Evaluation of medical decision support systems (DDX generators) using real medical cases of varying complexity and origin. - Peter Fritz; Andreas Kleinhans; R. Raoufi; A. Sediqi; Nico Schmid; Severin Schricker; Moritz Schanz; Christine Fritz-Kuisle; P. Dalquen; H. Firooz; G. Stauch; Mark Dominik Alscher (BMC Medical Informatics Decis. Mak., 2022)

Algorithm-based detection of acute kidney injury according to full KDIGO criteria including urine output following cardiac surgery: a descriptive analysis. - Nico Schmid; Mihnea Ghinescu; Moritz Schanz; Micha Christ; Severin Schricker; Markus Ketteler; Mark Dominik Alscher; Ulrich Franke; Nora Goebel (BioData Min., 2023)

Attention to early stages: predicting acute kidney injury in a post cardiosurgical ICU setting using an inclusive time-to-event model. - Micha Christ; Nico Schmid; Mark Dominik Alscher; Carmen Heidrich; Bartosz Rylski; Joerg Latus; Nora Goebel; Moritz Schanz (Comput. Biol. Medicine, 2025)