Adaptive recommendations to foster social media skills in teaching and learning scenarios. - Christina Di Valentin; Andreas Emrich; Johannes Lahann; Michael Schmidt 002; Uta Schwertel; Dirk Werth; Peter Loos (I-KNOW, 2014)

Adaptive Social Media Skills Trainer for Vocational Education and Training: Concept and Implementation of a Recommender System. - Christina Di Valentin; Andreas Emrich; Johannes Lahann; Dirk Werth; Peter Loos (HICSS, 2015)

Walkable Graph: An Immersive Augmented Reality Interface for Performing the Memory Palace Method. - Rocco Raso; Johannes Lahann; Peter Fettke; Peter Loos (AMCIS, 2019)

Utilizing Machine Learning Techniques to Reveal VAT Compliance Violations in Accounting Data. - Johannes Lahann; Martin Scheid; Peter Fettke (CBI (1), 2019)

Towards Optimal Free Trade Agreement Utilization through Deep Learning Techniques. - Johannes Lahann; Martin Scheid; Peter Fettke (HICSS, 2020)

Multivariate Business Process Representation Learning Utilizing Gramian Angular Fields and Convolutional Neural Networks. - Peter Pfeiffer; Johannes Lahann; Peter Fettke (BPM, 2021)

A Case Study on the Application of Process Mining in Combination with Journal Entry Tests for Financial Auditing. - Sebastian Stephan; Johannes Lahann; Peter Fettke (HICSS, 2021)

The Label Ambiguity Problem in Process Prediction. - Peter Pfeiffer; Johannes Lahann; Peter Fettke (Business Process Management Workshops, 2022)

Multimodal Process Prediction (Extended Abstract). - Johannes Lahann (ICPM Doctoral Consortium / Demo, 2022)

LSTM-Based Anomaly Detection of Process Instances: Benchmark and Tweaks. - Johannes Lahann; Peter Pfeiffer; Peter Fettke (ICPM Workshops, 2022)

A systematic literature review on state-of-the-art deep learning methods for process prediction. - Dominic A. Neu; Johannes Lahann; Peter Fettke (Artif. Intell. Rev., 2022)

Deep learning-based clustering of processes and their visual exploration: An industry 4.0 use case for small, medium-sized enterprises. - Nijat Mehdiyev; Lea Mayer; Johannes Lahann; Peter Fettke (Expert Syst. J. Knowl. Eng., 2024)