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• [9]
  

  2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2989138

  Müller, O., & Düsing, C. (2024). Forecasting the Impact of Artificial Intelligence on the Labor Market Through Natural Language Processing of Job Posting. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4710299

  PUB | DOI
   
• [8]
  

  2024 | Konferenzbeitrag | Angenommen | PUB-ID: 2989137

  Liedeker, F., Düsing, C., Nieveler, M., & Cimiano, P. (Accepted). An Empirical Investigation of Users' Assessment of XAI Explanations: Identifying the Sweet-Spot of Explanation Complexity. Late-breaking work, Demos and Doctoral Consortium, colocated with The 2nd World Conference on eXplainable Artificial Intelligence, July 17-19, Valetta, Malta

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• [7]
  

  2024 | Konferenzbeitrag | Angenommen | PUB-ID: 2988518

  Düsing, C., Röder, M., Thiesse, F., & Cimiano, P. (Accepted). Design of an Explainable Input Control for Cross-Company Federated Learning. Presented at the 32nd European Conference on Information Systems, Paphos, Cyprus.

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• [6]
  

  2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2986487

  Düsing, C., & Cimiano, P. (2024). Monitoring Concept Drift in Continuous Federated Learning Platforms. International Symposium on Intelligent Data Analysis, Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-031-58553-1_7

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• [5]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2979412

  Düsing, C., & Cimiano, P. (2023). Federated Learning to Improve Counterfactual Explanations for Sepsis Treatment Prediction. Artificial Intelligence in Medicine: 21st International Conference on Artificial Intelligence in Medicine, Lecture Notes in Computer Science Springer Link. https://doi.org/10.1007/978-3-031-34344-5_11

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• [4]
  

  2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2967989

  Düsing, C., & Cimiano, P. (2022). On the Trade-off Between Benefit and Contribution for Clients in Federated Learning in Healthcare. Proceedings of 21st IEEE International Conference on Machine Learning and Applications. https://doi.org/10.1109/ICMLA55696.2022.00257

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• [3]
  

  2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2967988

  Düsing, C., & Cimiano, P. (2022). Towards predicting client benefit and contribution in federated learning from data imbalance. In Association for Computing Machinery (Ed.), CoNEXT '22: Proceedings of the 18th International Conference on emerging Networking EXperiments and Technologies (pp. 23-29). New York, NY, USA: ACM. https://doi.org/10.1145/3565010.3569063

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• [2]
  

  2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2960377

  Meydani, E., Düsing, C., Fedrau, A., & Trier, M. (2022). The “Black Box” of Social Commerce Platforms - A Closer Look at Users’ Activities. Proceedings of the 17th International Conference on Wirtschaftsinformatik

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• [1]
  

  2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2960371

  Meydani, E., Düsing, C., & Trier, M. (2021). Towards a Trust-aware Item Recommendation System on a Graph Autoencoder with Attention Mechanism. Proceedings of the 16th International Conference on Wirtschaftsinformatik

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