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Dominik Martin
Dominik Martin
kit.edu üzerinde doğrulanmış e-posta adresine sahip
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Virtual sensors
D Martin, N Kühl, G Satzger
Business & Information Systems Engineering 63, 315-323, 2021
812021
Human vs. supervised machine learning: Who learns patterns faster?
N Kühl, M Goutier, L Baier, C Wolff, D Martin
Cognitive Systems Research 76, 78-92, 2022
362022
Service systems, smart service systems and cyber-physical systems—what’s the difference? towards a unified terminology
D Martin, R Hirt, N Kühl
132019
A new metric for lumpy and intermittent demand forecasts: Stock-keeping-oriented prediction error costs
D Martin, P Spitzer, N Kühl
arXiv preprint arXiv:2004.10537, 2020
122020
Holistic system-analytics as an alternative to isolated sensor technology: a condition monitoring use case
D Martin, N Kühl
102019
System-wide learning in cyber-physical service systems: A research agenda
D Martin, N Kühl, JK von Bischhoffshausen, G Satzger
Designing for Digital Transformation. Co-Creating Services with Citizens and …, 2020
92020
Deep learning strategies for industrial surface defect detection systems
D Martin, S Heinzel, JK von Bischhoffshausen, N Kühl
arXiv preprint arXiv:2109.11304, 2021
82021
" Healthy surveillance": Designing a concept for privacy-preserving mask recognition AI in the age of pandemics
N Kühl, D Martin, C Wolff, M Volkamer
arXiv preprint arXiv:2010.12026, 2020
82020
Igniting the spark: overcoming organizational change resistance to advance innovation adoption–the case of data-driven services
T Enders, D Martin, GG Sehgal, R Schüritz
Exploring Service Science: 10th International Conference, IESS 2020, Porto …, 2020
72020
Grasping the terminology: Smart services, smart service systems, and cyber-physical systems
D Martin, N Kühl, M Maleshkova
Smart service management: Design guidelines and best practices, 7-21, 2020
42020
Deep Domain Adaptation for Detecting Bomb Craters in Aerial Images
M Geiger, D Martin, N Kühl
arXiv preprint arXiv:2209.11299, 2022
32022
A reference architecture for cyber-physical fluid power systems: towards a smart ecosystem
D Martin, JK von Bischoffshausen, A Hensel, J Strandberg
22020
On the Effect of Contextual Information on Human Delegation Behavior in Human-AI collaboration
P Spitzer, J Holstein, P Hemmer, M Vössing, N Kühl, D Martin, G Satzger
arXiv preprint arXiv:2401.04729, 2024
12024
Enabling inter-organizational analytics in business networks through meta machine learning
R Hirt, N Kühl, D Martin, G Satzger
Information Technology and Management, 1-25, 2023
12023
Towards a reference architecture for future industrial Internet of Things networks
D Martin, N Kühl, M Schwenk
2021 IEEE 23rd Conference on Business Informatics (CBI) 2, 1-9, 2021
12021
White Spots in Business and IT: An Explorative Study for E-Mobility Services
D Martin, N Kühl, C Stryja, J Haude
World Electric Vehicle Journal 9 (2), 27, 2018
12018
Virtual Sensors: Enhancing Sensor Capabilities Via Machine Learning Across Internet of Things Ecosystems
D Martin
Karlsruher Institut für Technologie (KIT), 2023
2023
Smart Services: A Condition Monitoring Use Case Utilizing System-Wide Analyses
D Martin, N Kühl, JK Bischhoffshausen
Smart Service Management: Design Guidelines and Best Practices, 179-191, 2020
2020
Automatically Extracting and Analyzing Customer Needs from Twitter: A “Needmining” Prototype
N Kühl, D Martin, G Satzger
2019
Towards Cognitive Sealing: Artificial Intelligence based Seal Condition Monitoring
D Martin, C Schüle, J Kunze von Bischhoffshausen
20th ISC: International Sealing Conference, Stuttgart, October 10-11, 2018, 2018
2018
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