9 Publikationen
-
2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2989138Forecasting the Impact of Artificial Intelligence on the Labor Market Through Natural Language Processing of Job PostingPUB | DOI
Müller, Oliver, Forecasting the Impact of Artificial Intelligence on the Labor Market Through Natural Language Processing of Job Posting. SSRN Electronic Journal (). , 2024 -
2024 | Konferenzbeitrag | Angenommen | PUB-ID: 2989137An Empirical Investigation of Users' Assessment of XAI Explanations: Identifying the Sweet-Spot of Explanation ComplexityPUB
Liedeker, Felix, 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 (). , 2024 -
2024 | Konferenzbeitrag | Angenommen | PUB-ID: 2988518Design of an Explainable Input Control for Cross-Company Federated LearningPUB
Düsing, Christoph, Design of an Explainable Input Control for Cross-Company Federated Learning. (). , 2024 -
2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2986487Monitoring Concept Drift in Continuous Federated Learning PlatformsPUB | DOI | Download (ext.)
Düsing, Christoph, Monitoring Concept Drift in Continuous Federated Learning Platforms. International Symposium on Intelligent Data Analysis (). , 2024 -
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2979412Federated Learning to Improve Counterfactual Explanations for Sepsis Treatment PredictionPUB | DOI | Download (ext.)
Düsing, Christoph, Federated Learning to Improve Counterfactual Explanations for Sepsis Treatment Prediction. Artificial Intelligence in Medicine: 21st International Conference on Artificial Intelligence in Medicine (). , 2023 -
2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2967989On the Trade-off Between Benefit and Contribution for Clients in Federated Learning in HealthcarePUB | DOI | Download (ext.)
Düsing, Christoph, 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 -
2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2967988Towards predicting client benefit and contribution in federated learning from data imbalancePUB | DOI | Download (ext.)
Düsing, Christoph, Towards predicting client benefit and contribution in federated learning from data imbalance. CoNEXT '22: Proceedings of the 18th International Conference on emerging Networking EXperiments and Technologies (). New York, NY, USA, 2022 -
2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2960377The “Black Box” of Social Commerce Platforms - A Closer Look at Users’ ActivitiesPUB | Download (ext.)
Meydani, Elnaz, The “Black Box” of Social Commerce Platforms - A Closer Look at Users’ Activities. Proceedings of the 17th International Conference on Wirtschaftsinformatik (). , 2022 -
2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2960371Towards a Trust-aware Item Recommendation System on a Graph Autoencoder with Attention MechanismPUB | Download (ext.)
Meydani, Elnaz, Towards a Trust-aware Item Recommendation System on a Graph Autoencoder with Attention Mechanism. Proceedings of the 16th International Conference on Wirtschaftsinformatik (). , 2021