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Patrick Zschech
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Machine learning and deep learning
C Janiesch, P Zschech, K Heinrich
Electronic Markets 31 (3), 685-695, 2021
10932021
A survey of image labelling for computer vision applications
C Sager, C Janiesch, P Zschech
Journal of Business Analytics 4 (2), 91-110, 2021
492021
Process data properties matter: Introducing gated convolutional neural networks (GCNN) and key-value-predict attention networks (KVP) for next event prediction with deep learning
K Heinrich, P Zschech, C Janiesch, M Bonin
Decision Support Systems, 113494, 2021
392021
How Much AI Do You Require? Decision Factors for Adopting AI Technology
J Wanner, K Heinrich, C Janiesch, P Zschech
41st International Conference on Information Systems (ICIS), India, 2020
37*2020
A Taxonomy of Recurring Data Analysis Problems in Maintenance Analytics
P Zschech
26th European Conference on Information Systems (ECIS), Portsmouth, UK, 2018
352018
White, Grey, Black: Effects of XAI Augmentation on the Confidence in AI-based Decision Support Systems
J Wanner, LV Herm, K Heinrich, C Janiesch, P Zschech
41st International Conference on Information Systems (ICIS), India, 2020
322020
Intelligent User Assistance for Automated Data Mining Method Selection
P Zschech, R Horn, D Höschele, C Janiesch, K Heinrich
Business & Information Systems Engineering 62 (3), 227–247, 2020
282020
Prognostic Model Development with Missing Labels - A Condition-Based Maintenance Approach Using Machine Learning
P Zschech, K Heinrich, R Bink, JS Neufeld
Business & Information Systems Engineering 61 (3), 327–343, 2019
222019
Das aufstrebende Berufsbild des Data Scientist
C Schumann, P Zschech, A Hilbert
HMD Praxis der Wirtschaftsinformatik 53 (4), 453-466, 2016
222016
Machine learning and deep learning
J Christian, Z Patrick, H Kai
Electronic Markets 31 (3), 685-95, 2021
20*2021
Everything Counts: A Taxonomy of Deep Learning Approaches for Object Counting
K Heinrich, A Roth, P Zschech
27th European Conference on Information Systems (ECIS), Stockholm, Schweden, 2019
192019
Data Science Skills and Enabling Enterprise Systems
P Zschech, V Fleißner, N Baumgärtel, A Hilbert
HMD Praxis der Wirtschaftsinformatik 55 (1), 163-181, 2018
182018
A picture is worth a collaboration: accumulating design knowledge for computer-vision-based hybrid intelligence systems
P Zschech, J Walk, K Heinrich, M Vössing, N Kühl
29th European Conference on Information Systems (ECIS), AIS Virtual Conference, 2021
172021
Demystifying the Black Box: A Classification Scheme for Interpretation and Visualization of Deep Intelligent Systems
K Heinrich, P Zschech, T Skouti, J Griebenow, S Riechert
25th Americas Conference on Information Systems (AMCIS), 2019
172019
labelCloud: A Lightweight Labeling Tool for Domain-Agnostic 3D Object Detection in Point Clouds
C Sager, P Zschech, N Kühl
Computer-Aided Design and Applications 19 (6), 1191-1206, 2022
16*2022
Towards a Taxonomic Benchmarking Framework for Predictive Maintenance: The Case of NASA’s Turbofan Degradation
P Zschech, J Bernien, K Heinrich
40th International Conference on Information Systems (ICIS), Munich, Germany, 2019
142019
Predictive Maintenance in der industriellen Praxis
R Bink, P Zschech
HMD Praxis der Wirtschaftsinformatik: Vol. 55, No. 3, 2018
142018
Are You Up for the Challenge? Towards the Development of a Big Data Capability Assessment Model
P Zschech, K Heinrich, M Pfitzner, A Hilbert
25th European Conference on Information Systems (ECIS), 2613-2624, 2017
142017
Anomaly detection for industrial quality assurance: A comparative evaluation of unsupervised deep learning models
J Zipfel, F Verworner, M Fischer, U Wieland, M Kraus, P Zschech
Computers & Industrial Engineering 177, 109045, 2023
132023
Fool Me Once, Shame On You, Fool Me Twice, Shame on Me: A Taxonomy of Attack and Defense Patterns for AI Security
K Heinrich, J Graf, J Chen, J Laurisch, P Zschech
28th European Conference on Information Systems (ECIS), Marrakesh, Morocco, 2020
132020
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