CASSI: Design of a Simulation Environment for Vehicle Relocation in Carsharing. - Christoph Prinz; Sascha Lichtenberg; Mathias Willnat (ECIS, 2020)

European Language Grid: An Overview. - Georg Rehm; Maria Berger; Ela Elsholz; Stefanie Hegele; Florian Kintzel; Katrin Marheinecke; Stelios Piperidis; Miltos Deligiannis; Dimitris Galanis; Katerina Gkirtzou; Penny Labropoulou; Kalina Bontcheva; et al. (LREC, 2020)

The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe. - Georg Rehm; Katrin Marheinecke; Stefanie Hegele; Stelios Piperidis; Kalina Bontcheva; Jan Hajic; Khalid Choukri; Andrejs Vasiljevs; Gerhard Backfried; Christoph Prinz; José Manuél Gómez-Pérez; Luc Meertens; et al. (LREC, 2020)

Adapting User-Based Vehicle Relocation for ECarsharing. - Christoph Prinz; Sascha Lichtenberg; Bernd Herrenkind; Alfred Benedikt Brendel; Lutz M. Kolbe (Wirtschaftsinformatik (Zentrale Tracks), 2020)

How Far are You Gonna Go? Understanding Pedestrian Catchment Areas in Shared Mobility Systems. - Mathias Willnat; Tim-Benjamin Lembcke; Christine Harnischmacher; Christoph Prinz; Matthias Klumpp (ICIS, 2021)

Healthcare in Fraudster's Crosshairs: Designing, Implementing and Evaluating a Machine Learning Approach for Anomaly Detection on Medical Prescription Claim Data. - Tizian Matschak; Christoph Prinz; Kristin Masuch; Simon Trang 001 (PACIS, 2021)

Digital Map Complexity and Behavioral Consistency in Mobility Information Systems. - Mathias Willnat; Tim-Benjamin Lembcke; Jannes Heinrich Diedrich Menck; Felix Kegel; Christoph Prinz (AMCIS, 2022)

A Digitization Pipeline for Mixed-Typed Documents Using Machine Learning and Optical Character Recognition. - Tizian Matschak; Florian Rampold; Malte Hellmeier; Christoph Prinz; Simon Trang 001 (DESRIST, 2022)

A Taxonomy of Machine Learning-based Fraud Detection Systems. - Tizian Matschak; Simon Trang 001; Christoph Prinz (ECIS, 2022)

Increasing the Business Value Of Free-Floating Carsharing Fleets By Applying Machine-Learning Based Relocations. - Christoph Prinz; Malte Hellmeier; Mathias Willnat; Christine Harnischmacher; Lutz M. Kolbe (ECIS, 2022)

Show Me Your Claims and I'll Tell You Your Offenses: Machine Learning-Based Decision Support for Fraud Detection on Medical Claim Data. - Tizian Matschak; Christoph Prinz; Florian Rampold; Simon Trang 001 (HICSS, 2022)

Leverage data streams for better operational decision-making: the case of smart sustainable mobility environments. - Christoph Prinz (Cuvillier Verlag, 2023)

Unconstraining Demand for Effective System Operation: The Case of Vehicle Relocation in Free-Floating E-Carsharing. - Christoph Prinz; Mathias Willnat; Florian Rampold; Lutz M. Kolbe (ECIS, 2024)

Archetypes of Carsharing Relocation Algorithms: A Perspective on Problem Space, Solution Space and Evaluation. - Christoph Prinz; Mathias Willnat; Tim-Benjamin Lembcke; Lutz M. Kolbe (VEHITS, 2024)