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Christian Janiesch

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Kai Heinrich

> Home > Persons > Christian Janiesch

Publications

2023
[j32]
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  - journals/ijinfoman/HermHWJ23
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  - https://dblp.org/rec/journals/ijinfoman/HermHWJ23
Lukas-Valentin Herm, Kai Heinrich, Jonas Wanner, Christian Janiesch:
Stop ordering machine learning algorithms by their explainability! A user-centered investigation of performance and explainability. Int. J. Inf. Manag. 69: 102538 (2023)
2022
[j27]
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  - journals/electronicmarkets/WannerHHJ22
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  - https://dblp.org/rec/journals/electronicmarkets/WannerHHJ22
Jonas Wanner, Lukas-Valentin Herm, Kai Heinrich, Christian Janiesch:
The effect of transparency and trust on intelligent system acceptance: Evidence from a user-based study. Electron. Mark. 32(4): 2079-2102 (2022)
[i10]
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  - journals/corr/abs-2206-10610
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  - https://dblp.org/rec/journals/corr/abs-2206-10610
Lukas-Valentin Herm, Kai Heinrich, Jonas Wanner, Christian Janiesch:
Stop ordering machine learning algorithms by their explainability! A user-centered investigation of performance and explainability. CoRR abs/2206.10610 (2022)
2021
[j24]
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  - journals/dss/HeinrichZJB21
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Kai Heinrich, Patrick Zschech, Christian Janiesch, Markus Bonin:
Process data properties matter: Introducing gated convolutional neural networks (GCNN) and key-value-predict attention networks (KVP) for next event prediction with deep learning. Decis. Support Syst. 143: 113494 (2021)
[j23]
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  - journals/electronicmarkets/JanieschZH21
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Christian Janiesch, Patrick Zschech, Kai Heinrich:
Machine learning and deep learning. Electron. Mark. 31(3): 685-695 (2021)
[c67]
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  - conf/ecis/WannerPFHHJ21
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Jonas Wanner, Laurell Popp, Kevin Fuchs, Kai Heinrich, Lukas-Valentin Herm, Christian Janiesch:
Adoption Barriers of AI: a Context-Specific Acceptance Model for Industrial Maintenance. ECIS 2021
[c65]
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  - conf/i3e/WannerHHJ21
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Jonas Wanner, Lukas-Valentin Herm, Kai Heinrich, Christian Janiesch:
Stop Ordering Machine Learning Algorithms by Their Explainability! An Empirical Investigation of the Tradeoff Between Performance and Explainability. I3E 2021: 245-258
[i8]
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  - journals/corr/abs-2104-05314
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Christian Janiesch, Patrick Zschech, Kai Heinrich:
Machine learning and deep learning. CoRR abs/2104.05314 (2021)
2020
[j20]
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  - journals/bise/ZschechHHJH20
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Patrick Zschech, Richard Horn, Daniel Höschele, Christian Janiesch, Kai Heinrich:
Intelligent User Assistance for Automated Data Mining Method Selection. Bus. Inf. Syst. Eng. 62(3): 227-247 (2020)
[c59]
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Jonas Wanner, Lukas-Valentin Herm, Kai Heinrich, Christian Janiesch, Patrick Zschech:
White, Grey, Black: Effects of XAI Augmentation on the Confidence in AI-based Decision Support Systems. ICIS 2020
[c58]
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Jonas Wanner, Kai Heinrich, Christian Janiesch, Patrick Zschech:
How Much AI Do You Require? Decision Factors for Adopting AI Technology. ICIS 2020
[c56]
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  - conf/wirtschaftsinformatik/HeinrichZJB20
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Kai Heinrich, Patrick Zschech, Christian Janiesch, Markus Bonin:
Ein Vergleich aktueller Deep-Learning-Architekturen zur Prognose von Prozessverhalten. Wirtschaftsinformatik (Zentrale Tracks) 2020: 876-892

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