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ORCIDJohannes Lahann
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2020 – today
- 2024
[j2]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)- 2022
- [j1]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): 801-827 (2022) - [c10]Peter Pfeiffer, Johannes Lahann, Peter Fettke:
The Label Ambiguity Problem in Process Prediction. Business Process Management Workshops 2022: 37-44 - [c9]Johannes Lahann:
Multimodal Process Prediction (Extended Abstract). ICPM Doctoral Consortium / Demo 2022: 32-36 - [c8]Johannes Lahann, Peter Pfeiffer, Peter Fettke:
LSTM-Based Anomaly Detection of Process Instances: Benchmark and Tweaks. ICPM Workshops 2022: 229-241 - 2021
- [c7]Peter Pfeiffer, Johannes Lahann, Peter Fettke:
Multivariate Business Process Representation Learning Utilizing Gramian Angular Fields and Convolutional Neural Networks. BPM 2021: 327-344 - [c6]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: 1-10 - [i2]Dominic A. Neu, Johannes Lahann, Peter Fettke:
A systematic literature review on state-of-the-art deep learning methods for process prediction. CoRR abs/2101.09320 (2021) - [i1]Peter Pfeiffer, Johannes Lahann, Peter Fettke:
Multivariate Business Process Representation Learning utilizing Gramian Angular Fields and Convolutional Neural Networks. CoRR abs/2106.08027 (2021) - 2020
- [c5]Johannes Lahann, Martin Scheid, Peter Fettke:
Towards Optimal Free Trade Agreement Utilization through Deep Learning Techniques. HICSS 2020: 1-10
2010 – 2019
- 2019
- [c4]Rocco Raso, Johannes Lahann, Peter Fettke, Peter Loos:
Walkable Graph: An Immersive Augmented Reality Interface for Performing the Memory Palace Method. AMCIS 2019 - [c3]Johannes Lahann, Martin Scheid, Peter Fettke:
Utilizing Machine Learning Techniques to Reveal VAT Compliance Violations in Accounting Data. CBI (1) 2019: 1-10 - 2015
- [c2]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: 1951-1960 - 2014
- [c1]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: 27:1-27:4
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