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• [9]
  

  2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2989138

  Müller, O., Düsing, C.: Forecasting the Impact of Artificial Intelligence on the Labor Market Through Natural Language Processing of Job Posting. SSRN Electronic Journal. (2024).

  PUB | DOI
   
• [8]
  

  2024 | Konferenzbeitrag | Angenommen | PUB-ID: 2989137

  Liedeker, F., Düsing, C., Nieveler, M., Cimiano, P.: 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. (Accepted).

  PUB
   
• [7]
  

  2024 | Konferenzbeitrag | Angenommen | PUB-ID: 2988518

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

  PUB
   
• [6]
  

  2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2986487

  Düsing, C., Cimiano, P.: Monitoring Concept Drift in Continuous Federated Learning Platforms. International Symposium on Intelligent Data Analysis. Lecture Notes in Computer Science. (2024).

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• [5]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2979412

  Düsing, C., Cimiano, P.: 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 (2023).

  PUB | DOI | Download (ext.)
   
• [4]
  

  2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2967989

  Düsing, C., Cimiano, P.: 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. (2022).

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• [3]
  

  2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2967988

  Düsing, C., Cimiano, P.: 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. p. 23-29. ACM, New York, NY, USA (2022).

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• [2]
  

  2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2960377

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

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• [1]
  

  2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2960371

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

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