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2020 – today
- 2025
[j2]Elnaz Meydani, Christoph Düsing, Matthias Trier:
Modeling higher-order social influence using multi-head graph attention autoencoder. Inf. Syst. 128: 102474 (2025)- 2024
- [j1]Christoph Düsing, Philipp Cimiano, Sebastian Rehberg, Christiane Scherer, Olaf Kaup, Christiane Köster, Stefan Hellmich, Daniel Herrmann, Kirsten Laura Meier, Simon Claßen, Rainer Borgstedt:
Integrating federated learning for improved counterfactual explanations in clinical decision support systems for sepsis therapy. Artif. Intell. Medicine 157: 102982 (2024) - [c8]Christoph Düsing, Philipp Cimiano, Benjamin Paaßen:
Leveraging Local Data Sampling Strategies to Improve Federated Learning (Extended Abstract). DSAA 2024: 1-2 - [c7]Christoph Düsing, Marco Röder, Frédéric Thiesse, Philipp Cimiano:
Design of an Explainable Input Control for Cross-Company Federated Learning. ECIS 2024 - [c6]Christoph Düsing
, Philipp Cimiano:
Monitoring Concept Drift in Continuous Federated Learning Platforms. IDA (2) 2024: 83-94 - [c5]Felix Liedeker, Christoph Düsing, Marcel Nieveler, Philipp Cimiano:
An Empirical Investigation of Users' Assessment of XAI Explanations: Identifying the Sweet Spot of Explanation Complexity and Value. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 225-232 - 2023
- [c4]Christoph Düsing, Philipp Cimiano:
Federated Learning to Improve Counterfactual Explanations for Sepsis Treatment Prediction. AIME 2023: 86-96 - 2022
- [c3]Christoph Düsing, Philipp Cimiano:
On the Trade-off Between Benefit and Contribution for Clients in Federated Learning in Healthcare. ICMLA 2022: 1672-1678 - [c2]Elnaz Meydani, Christoph Düsing, Annamaria Fedrau, Matthias Trier:
The "Black Box" of Social Commerce Platforms - A Closer Look at Users' Activities. Wirtschaftsinformatik 2022 - 2021
- [c1]Elnaz Meydani, Christoph Düsing, Matthias Trier:
Towards a Trust-aware Item Recommendation System on a Graph Autoencoder with Attention Mechanism. Wirtschaftsinformatik 2021
Coauthor Index
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