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ORCIDDominik Martin
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2020 – today
- 2024
[c12]Philipp Spitzer
, Sebastian Celis, Dominik Martin, Niklas Kühl, Gerhard Satzger:
Looking Through the Deep Glasses: How Large Language Models Enhance Explainability of Deep Learning Models. MuC 2024: 566-570- [i8]Philipp Spitzer, Joshua Holstein, Patrick Hemmer, Michael Vössing, Niklas Kühl, Dominik Martin, Gerhard Satzger:
On the Effect of Contextual Information on Human Delegation Behavior in Human-AI collaboration. CoRR abs/2401.04729 (2024) - 2023
- [b1]Dominik Martin:
Virtual sensors: enhancing sensor capabilities via machine learning across internet of things ecosystems. Karlsruhe Institute of Technology, Germany, 2023, pp. 1-326 - [c11]Marco Geiger, Dominik Martin, Niklas Kühl:
Deep Domain Adaptation for Detecting Bomb Craters in Aerial Images. HICSS 2023: 825-834 - [i7]Robin Hirt, Niklas Kühl, Dominik Martin, Gerhard Satzger:
Enabling Inter-organizational Analytics in Business Networks Through Meta Machine Learning. CoRR abs/2303.15834 (2023) - 2022
- [j2]Niklas Kühl, Marc Goutier, Lucas Baier, Clemens Wolff, Dominik Martin:
Human vs. supervised machine learning: Who learns patterns faster? Cogn. Syst. Res. 76: 78-92 (2022) - [c10]Dominik Martin, Simon Heinzel, Johannes Kunze von Bischhoffshausen, Niklas Kühl:
Deep Learning Strategies for Industrial Surface Defect Detection Systems. HICSS 2022: 1-10 - [i6]Marco Geiger, Dominik Martin, Niklas Kühl:
Deep Domain Adaptation for Detecting Bomb Craters in Aerial Images. CoRR abs/2209.11299 (2022) - 2021
- [j1]Dominik Martin, Niklas Kühl, Gerhard Satzger:
Virtual Sensors. Bus. Inf. Syst. Eng. 63(3): 315-323 (2021) - [c9]Niklas Kühl, Dominik Martin, Clemens Wolff, Melanie Volkamer:
"Healthy surveillance": Designing a concept for privacy-preserving mask recognition AI in the age of pandemics. HICSS 2021: 1-10 - [c8]Dominik Martin, Niklas Kühl, Marcel Schwenk:
Towards a Reference Architecture for Future Industrial Internet of Things Networks. CBI (2) 2021: 1-9 - [i5]Dominik Martin, Niklas Kühl, Marcel Schwenk:
Towards a Reference Architecture for Future Industrial Internet of Things Networks. CoRR abs/2109.00833 (2021) - [i4]Dominik Martin, Simon Heinzel, Johannes Kunze von Bischhoffshausen, Niklas Kühl:
Deep Learning Strategies for Industrial Surface Defect Detection Systems. CoRR abs/2109.11304 (2021) - 2020
- [c7]Dominik Martin, Niklas Kühl, Johannes Kunze von Bischhoffshausen, Gerhard Satzger:
System-Wide Learning in Cyber-Physical Service Systems: A Research Agenda. DESRIST 2020: 457-468 - [c6]Dominik Martin, Philipp Spitzer, Niklas Kühl:
A New Metric for Lumpy and Intermittent Demand Forecasts: Stock-keeping-oriented Prediction Error Costs. HICSS 2020: 1-10 - [c5]Tobias Enders, Dominik Martin, Garish Gagan Sehgal, Ronny Schüritz:
Igniting the Spark: Overcoming Organizational Change Resistance to Advance Innovation Adoption - The Case of Data-Driven Services. IESS 2020: 217-230 - [p2]Dominik Martin, Niklas Kühl, Maria Maleshkova:
Grasping the Terminology: Smart Services, Smart Service Systems, and Cyber-Physical Systems. Smart Service Management 2020: 7-21 - [p1]Dominik Martin, Niklas Kühl, Johannes Kunze von Bischhoffshausen:
Smart Services: A Condition Monitoring Use Case Utilizing System-Wide Analyses. Smart Service Management 2020: 179-191 - [i3]Dominik Martin, Philipp Spitzer, Niklas Kühl:
A New Metric for Lumpy and Intermittent Demand Forecasts: Stock-keeping-oriented Prediction Error Costs. CoRR abs/2004.10537 (2020) - [i2]Niklas Kühl, Dominik Martin, Clemens Wolff, Melanie Volkamer:
"Healthy surveillance": Designing a concept for privacy-preserving mask recognition AI in the age of pandemics. CoRR abs/2010.12026 (2020) - [i1]Niklas Kühl, Marc Goutier, Lucas Baier, Clemens Wolff, Dominik Martin:
Human vs. supervised machine learning: Who learns patterns faster? CoRR abs/2012.03661 (2020)
2010 – 2019
- 2019
- [c4]Dominik Martin, Niklas Kühl:
Holistic System-Analytics as an Alternative to Isolated Sensor Technology: A Condition Monitoring Use Case. HICSS 2019: 1-8 - [c3]Dominik Martin, Robin Hirt, Niklas Kühl:
Service Systems, Smart Service Systems and Cyber- Physical Systems - What's the difference? Towards a Unified Terminology. Wirtschaftsinformatik 2019: 17-31 - [c2]Niklas Kühl, Dominik Martin, Gerhard Satzger:
Automatically Extracting and Analyzing Customer Needs from Twitter: A "Needmining" Prototype. Wirtschaftsinformatik 2019: 1967-1970 - 2013
- [c1]Walter M. Weber, Jens Trommer, Dominik Martin, Matthias Grube, Andre Heinzig, Thomas Mikolajick:
Reconfigurable nanowire electronics - Device principles and circuit prospects. ESSDERC 2013: 246-251
Coauthor Index
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last updated on 2024-09-21 23:38 CEST by the dblp team
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