9 Publikationen

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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.; Düsing, C.; Nieveler, M.; Cimiano, P. (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.; Röder, M.; Thiesse, F.; Cimiano, P. (Accepted): Design of an Explainable Input Control for Cross-Company Federated Learning.
    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. Springer Link. (Lecture Notes in Computer Science , ).
    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 (Hrsg.): CoNEXT '22: Proceedings of the 18th International Conference on emerging Networking EXperiments and Technologies. New York, NY, USA: ACM. S. 23-29.
    PUB | DOI | Download (ext.)
     
  • [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. 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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