Konzeption und Realisierung eines Frameworks für transparente RPCs in PHP. - Christian Lück (Informatiktage, 2012)

Near optimal service function path instantiation in a multi-datacenter environment. - Ahmed M. Medhat; Giuseppe Carella; Christian Lück; Marius Iulian Corici; Thomas Magedanz (CNSM, 2015)

Cross-layer service to network orchestration. - Giuseppe Carella; Junnosuke Yamada; Niklas Blum; Christian Lück; Naoyoshi Kanamaru; Naoki Uchida; Thomas Magedanz (ICC, 2015)

Which Features of Postural Sway are Effective in Distinguishing Parkinson's Disease Patients from Controls? An Experimental Investigation. - Wenbo Ge; Deborah Apthorp; Christian Lück; Hanna Suominen (BIBM, 2021)

The Use of Event-Related Potentials and Machine Learning to Improve Diagnostic Testing and Prediction of Disease Progression in Parkinson's Disease. - Robin Vlieger; Elena Daskalaki; Deborah Apthorp; Christian J. Lück; Hanna Suominen (Nursing Informatics, 2021)

Industrial Experience with Open-Source EDA Tools. - Christian Lück; Daniela Sanchez Lopera; Sven Wenzek; Wolfgang Ecker (MLCAD, 2022)

The role of machine learning in developing non-magnetic resonance imaging based biomarkers for multiple sclerosis: a systematic review. - Md. Zakir Hossain; Elena Daskalaki; Anne Brüstle; Jane Desborough; Christian Lück; Hanna Suominen (BMC Medical Informatics Decis. Mak., 2022)

Textliche Relationen maschinenlesbar formalisieren: Systeme der Intertextualität. - Jan Horstmann; Christian Lück; Immanuel Normann (DHd, 2023)

Standoff-Tools - Generische Dienste für die automatische Annotation von XML-Dokumenten mit Plain-Text-Werkzeugen. - Christian Lück (DHd, 2023)

Evaluating methods of oversampling and averaging resting-state electroencephalography data in classifying Parkinson's disease. - Robin Vlieger; Hanna Suominen; Deborah Apthorp; Christian J. Lück; Elena Daskalaki (EMBC, 2023)

Evaluating Effects of Resting-State Electroencephalography Data Pre-Processing on a Machine Learning Task for Parkinson's Disease. - Robin Vlieger; Elena Daskalaki; Deborah Apthorp; Christian J. Lück; Hanna Suominen (MedInfo, 2023)

Has machine learning over-promised in healthcare?: A critical analysis and a proposal for improved evaluation, with evidence from Parkinson's disease. - Wenbo Ge; Christian Lück; Hanna Suominen; Deborah Apthorp (Artif. Intell. Medicine, 2023)