Johannes Lahann

According to our database, Johannes Lahann authored at least 12 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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., February, 2024

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

LSTM-Based Anomaly Detection of Process Instances: Benchmark and Tweaks.

Johannes Lahann, Peter Pfeiffer, Peter Fettke

Proceedings of the Process Mining Workshops, 2022

Multimodal Process Prediction (Extended Abstract).

Johannes Lahann

Proceedings of the ICPM Doctoral Consortium and Demo Track 2022 co-located with 4th International Conference on Process Mining (ICPM 2022), 2022

The Label Ambiguity Problem in Process Prediction.

Peter Pfeiffer, Johannes Lahann, Peter Fettke

Proceedings of the Business Process Management Workshops, 2022

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

Proceedings of the 54th Hawaii International Conference on System Sciences, 2021

Multivariate Business Process Representation Learning Utilizing Gramian Angular Fields and Convolutional Neural Networks.

Peter Pfeiffer, Johannes Lahann, Peter Fettke

Proceedings of the Business Process Management - 19th International Conference, 2021

2020

Towards Optimal Free Trade Agreement Utilization through Deep Learning Techniques.

Johannes Lahann, Martin Scheid, Peter Fettke

Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020

2019

Utilizing Machine Learning Techniques to Reveal VAT Compliance Violations in Accounting Data.

Johannes Lahann, Martin Scheid, Peter Fettke

Proceedings of the 21st IEEE Conference on Business Informatics, 2019

Walkable Graph: An Immersive Augmented Reality Interface for Performing the Memory Palace Method.

Rocco Raso, Johannes Lahann, Peter Fettke, Peter Loos

Proceedings of the 25th Americas Conference on Information Systems, 2019

2015

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

Proceedings of the 48th Hawaii International Conference on System Sciences, 2015

2014

Adaptive recommendations to foster social media skills in teaching and learning scenarios.

Christina Di Valentin, Andreas Emrich, Johannes Lahann, Michael Schmidt, Uta Schwertel, Dirk Werth, Peter Loos

Proceedings of the 14th International Conference on Knowledge Management and Data-driven Business, 2014