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2020 – today
- 2023
[j1]Jonas Wanner, Christopher Wissuchek, Giacomo Welsch, Christian Janiesch
:
A Taxonomy and Archetypes of Business Analytics in Smart Manufacturing. ACM SIGMIS Database 54(1): 11-45 (2023)- [i3]Giacomo Welsch, Peter Kowalczyk:
Designing Explainable Predictive Machine Learning Artifacts: Methodology and Practical Demonstration. CoRR abs/2306.11771 (2023) - 2022
- [i2]Peter Kowalczyk, Giacomo Welsch, Frédéric Thiesse:
Towards a Taxonomy for the Use of Synthetic Data in Advanced Analytics. CoRR abs/2212.02622 (2022) - 2021
- [b1]Giacomo Welsch:
Berechnung und Erklärung empirischer Vorhersagen: ein Vorgehensmodell für die Gestaltung prädiktiver Machine-Learning-Anwendungen. Julius Maximilians University Würzburg, Germany, 2021, pp. 1-189 - [i1]Jonas Wanner, Christopher Wissuchek, Giacomo Welsch, Christian Janiesch:
A Taxonomy and Archetypes of Business Analytics in Smart Manufacturing. CoRR abs/2110.06124 (2021) - 2020
- [c4]Alexander Dürr, Matthias Griebel, Giacomo Welsch, Frédéric Thiesse:
Predicting Fraudulent initial Coin Offerings using Information Extracted from Whitepapers. ECIS 2020 - [c3]Giacomo Welsch, Alexander Dürr, Frédéric Thiesse:
A Consolidated Business Model Canvas of Blockchain- Based FinTech Startups: Evidence from Initial Coin Offerings. Wirtschaftsinformatik (Zentrale Tracks) 2020: 189-194
2010 – 2019
- 2019
- [c2]Matthias Griebel, Giacomo Welsch, Toni Greif, Christoph Flath:
A Picture is Worth More than a Thousand Purchases: Designing an Image-based Fashion Curation System. ECIS 2019 - [c1]Giacomo Welsch, Matthias Hauser, Frédéric Thiesse:
Bedeutung von Predictive Analytics für den theoretischen Erkenntnisgewinn in der IS-Forschung. Wirtschaftsinformatik 2019: 535-540
Coauthor Index
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