Johannes Lahann

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 12

Top Topics

Vocational Education

Convolutional Neural Networks

Top Venues

Expert Syst. J. Knowl. Eng.

Artif. Intell. Rev.

Publications

Nijat Mehdiyev, Lea Mayer, Johannes Lahann, Peter Fettke
Deep learning-based clustering of processes and their visual exploration: An industry 4.0 use case for small, medium-sized enterprises. Expert Syst. J. Knowl. Eng. 41 (2) (2024)
Peter Pfeiffer, Johannes Lahann, Peter Fettke
The Label Ambiguity Problem in Process Prediction. Business Process Management Workshops (2022)
Johannes Lahann
Multimodal Process Prediction (Extended Abstract). ICPM Doctoral Consortium / Demo (2022)
Dominic A. Neu, Johannes Lahann, Peter Fettke
A systematic literature review on state-of-the-art deep learning methods for process prediction. Artif. Intell. Rev. 55 (2) (2022)
Johannes Lahann, Peter Pfeiffer, Peter Fettke
LSTM-Based Anomaly Detection of Process Instances: Benchmark and Tweaks. ICPM Workshops (2022)
Sebastian Stephan, Johannes Lahann, Peter Fettke
A Case Study on the Application of Process Mining in Combination with Journal Entry Tests for Financial Auditing. HICSS (2021)
Dominic A. Neu, Johannes Lahann, Peter Fettke
A systematic literature review on state-of-the-art deep learning methods for process prediction. CoRR (2021)
Peter Pfeiffer, Johannes Lahann, Peter Fettke
Multivariate Business Process Representation Learning Utilizing Gramian Angular Fields and Convolutional Neural Networks. BPM (2021)
Peter Pfeiffer, Johannes Lahann, Peter Fettke
Multivariate Business Process Representation Learning utilizing Gramian Angular Fields and Convolutional Neural Networks. CoRR (2021)
Johannes Lahann, Martin Scheid, Peter Fettke
Towards Optimal Free Trade Agreement Utilization through Deep Learning Techniques. HICSS (2020)
Rocco Raso, Johannes Lahann, Peter Fettke, Peter Loos
Walkable Graph: An Immersive Augmented Reality Interface for Performing the Memory Palace Method. AMCIS (2019)
Johannes Lahann, Martin Scheid, Peter Fettke
Utilizing Machine Learning Techniques to Reveal VAT Compliance Violations in Accounting Data. CBI (1) (2019)
Christina Di Valentin, Andreas Emrich, Johannes Lahann, Dirk Werth, Peter Loos
Adaptive Social Media Skills Trainer for Vocational Education and Training: Concept and Implementation of a Recommender System. HICSS (2015)
Christina Di Valentin, Andreas Emrich, Johannes Lahann, Michael Schmidt, Uta Schwertel, Dirk Werth, Peter Loos
Adaptive recommendations to foster social media skills in teaching and learning scenarios. I-KNOW (2014)