PUB - Publikationen an der Universität Bielefeld

Alle markieren

• [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. Elsevier BV. doi: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. Gehalten auf der 2nd World Conference on eXplainable Artificial Intelligence.

  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. Gehalten auf der 32nd European Conference on Information Systems.

  PUB
   
• [6]
  

  2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2986487

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

  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 (Lecture Notes in Computer Science ). Artificial Intelligence in Medicine: 21st International Conference on Artificial Intelligence in Medicine. Gehalten auf der AIME: 21st International Conference on Artificial Intelligence in Medicine, Springer Link. doi:10.1007/978-3-031-34344-5_11.

  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. Proceedings of 21st IEEE International Conference on Machine Learning and Applications. Gehalten auf der 21st IEEE International Conference on Machine Learning and Applications. doi:10.1109/ICMLA55696.2022.00257.

  PUB | DOI | Download (ext.)
   
• [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 (S. 23-29). Gehalten auf der 3rd International Workshop on Distributed Machine Learning, New York, NY, USA: ACM. doi:10.1145/3565010.3569063.

  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. Proceedings of the 17th International Conference on Wirtschaftsinformatik. Gehalten auf der 17th International Conference on Wirtschaftsinformatik.

  PUB | Download (ext.)
   
• [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. Gehalten auf der 16th International Conference on Wirtschaftsinformatik.

  PUB | Download (ext.)