Sustainability of the iPhone. - Matthias Mokosch; Torsten Urban; Hans-Knud Arndt; Tommy Hielscher; Gerrit Winsczyk (EnviroInfo, 2013)

Using Participant Similarity for the Classification of Epidemiological Data on Hepatic Steatosis. - Tommy Hielscher; Myra Spiliopoulou; Henry Völzke; Jens-Peter Kühn (CBMS, 2014)

Mining Longitudinal Epidemiological Data to Understand a Reversible Disorder. - Tommy Hielscher; Myra Spiliopoulou; Henry Völzke; Jens-Peter Kühn (IDA, 2014)

Can We Classify the Participants of a Longitudinal Epidemiological Study from Their Previous Evolution? - Uli Niemann; Tommy Hielscher; Myra Spiliopoulou; Henry Völzke; Jens-Peter Kühn (CBMS, 2015)

Identifying Relevant Features for a Multi-factorial Disorder with Constraint-Based Subspace Clustering. - Tommy Hielscher; Myra Spiliopoulou; Henry Völzke; Jens-Peter Kühn (CBMS, 2016)

Subpopulation Discovery and Validation in Epidemiological Data. - Shiva Alemzadeh; Tommy Hielscher; Uli Niemann; Lena Cibulski; Till Ittermann; Henry Völzke; Myra Spiliopoulou; Bernhard Preim (EuroVA@EuroVis, 2017)

Visual Subpopulation Discovery and Validation in Cohort Study Data. - Shiva Alemzadeh; Tommy Hielscher; Uli Niemann; Lena Cibulski; Till Ittermann; Henry Völzke; Myra Spiliopoulou; Bernhard Preim (CoRR, 2017)

Discovering, selecting and exploiting feature sequence records of study participants for the classification of epidemiological data on hepatic steatosis. - Tommy Hielscher; Henry Völzke; Panagiotis Papapetrou; Myra Spiliopoulou (SAC, 2018)

A framework for expert-driven subpopulation discovery and evaluation using subspace clustering for epidemiological data. - Tommy Hielscher; Uli Niemann; Bernhard Preim; Henry Völzke; Till Ittermann; Myra Spiliopoulou (Expert Syst. Appl., 2018)

Exploiting background knowledge on evolving objects to identify relevant dimensions for classification. - Tommy Hielscher (2019)