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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
1782021
A Taxonomy of Recurring Data Analysis Problems in Maintenance Analytics
P Zschech
26th European Conference on Information Systems (ECIS), Portsmouth, UK, 2018
262018
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
192020
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
Das aufstrebende Berufsbild des Data Scientist
C Schumann, P Zschech, A Hilbert
HMD Praxis der Wirtschaftsinformatik 53 (4), 453-466, 2016
172016
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
142021
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
142020
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
142019
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
122019
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
122019
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
122017
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
112020
A survey of image labelling for computer vision applications
C Sager, C Janiesch, P Zschech
Journal of Business Analytics 4 (2), 91-110, 2021
102021
labelCloud: A Lightweight Domain-Independent Labeling Tool for 3D Object Detection in Point Clouds
C Sager, P Zschech, N Kühl
18th International Computer-Aided Design Conference (CAD'21), 10.14733 …, 2021
102021
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
102019
Review and Systematization of Solutions for 3D Object Detection
J Friederich, P Zschech
15. Internationale Tagung Wirtschaftsinformatik, 2020
92020
Predictive Maintenance in der industriellen Praxis: Entwicklung eines Prognoseansatzes unter eingeschränkter Informationslage
R Bink, P Zschech
HMD Praxis der Wirtschaftsinformatik 55 (3), 552-565, 2018
92018
Mit Computer Vision zur automatisierten Qualitätssicherung in der industriellen Fertigung: Eine Fallstudie zur Klassifizierung von Fehlern in Solarzellen mittels …
P Zschech, C Sager, P Siebers, M Pertermann
HMD Praxis der Wirtschaftsinformatik 58 (2), 321-342, 2021
82021
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
82021
Is Bigger Always Better? Lessons Learnt from the Evolution of Deep Learning Architectures for Image Classification
K Heinrich, C Janiesch, B Möller, P Zschech
Pre-ICIS SIGDSA Symposium, 2019
82019
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Articles 1–20