J. Nonnenmacher, J. Marx Gómez, Unsupervised anomaly detection for internal auditing: Literature review and research agenda, The International Journal of Digital Accounting Research 2021-01-17 | journal-article

G. Schumann, J. Marx Gómez, Natural Language Processing in Internal Auditing – a Structured Literature Review. Proceedings of the Twenty-Seventh Americas Conference on Information Systems, AMCIS,, 2021 | conference-paper

J. Nonnenmacher, F. Kruse, G. Schumann, Jorge Marx Gómez. Using Autoencoders for Data-Driven Analysis in Internal Auditing. Proceedings of the 54th Hawaii International Conference on System Sciences, 2021 | conference-paper

G. Schumann, F. Kruse, J. Nonnenmacher, A Practice-Oriented, Control-Flow-Based Anomaly Detection Approach for Internal Process Audits. Service-Oriented Computing, 2020 | conference-paper