PUB - Publikationen an der Universität Bielefeld

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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.

  PUB | DOI
   
• [8]
  

  2024 | Konferenzbeitrag | Angenommen | PUB-ID: 2989137

  Liedeker, F., et al., Accepted. An Empirical Investigation of Users' Assessment of XAI Explanations: Identifying the Sweet-Spot of Explanation Complexity. In Late-breaking work, Demos and Doctoral Consortium, colocated with The 2nd World Conference on eXplainable Artificial Intelligence, July 17-19, Valetta, Malta.

  PUB
   
• [7]
  

  2024 | Konferenzbeitrag | Angenommen | PUB-ID: 2988518

  Düsing, C., et al., Accepted. Design of an Explainable Input Control for Cross-Company Federated Learning. Presented at the 32nd European Conference on Information Systems, Paphos, Cyprus.

  PUB
   
• [6]
  

  2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2986487

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

  PUB | DOI | Download (ext.)
   
• [5]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2979412

  Düsing, C., & Cimiano, P., 2023. Federated Learning to Improve Counterfactual Explanations for Sepsis Treatment Prediction. In Artificial Intelligence in Medicine: 21st International Conference on Artificial Intelligence in Medicine. Lecture Notes in Computer Science . Springer Link.

  PUB | DOI | Download (ext.)
   
• [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. In Proceedings of 21st IEEE International Conference on Machine Learning and Applications.

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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. New York, NY, USA: ACM, pp. 23-29.

  PUB | DOI | Download (ext.)
   
• [2]
  

  2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2960377

  Meydani, E., et al., 2022. The “Black Box” of Social Commerce Platforms - A Closer Look at Users’ Activities. In 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. In Proceedings of the 16th International Conference on Wirtschaftsinformatik.

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