| Explainable AI for Tailored Electricity Consumption Feedback—an Experimental Evaluation of Visualizations J Wastensteiner, TM Weiss, F Haag, K Hopf 29. European Conference on Information Systems (ECIS 2021), 2021 | 16 | 2021 |
| Augmented Cross-Selling Through Explainable AI—a Case From Energy Retailing F Haag, K Hopf, PM Vasconcelos, T Staake 30. European Conference on Information Systems (ECIS 2022), 2022 | 8 | 2022 |
| Short-Term Electricity Load Forecasting Using the Temporal Fusion Transformer: Effect of Grid Hierarchies and Data Sources E Giacomazzi, F Haag, K Hopf e-Energy '23: Proceedings of the 14th ACM International Conference on Future …, 2023 | 7 | 2023 |
| A Feedback Component That Leverages Counterfactual Explanations for Smart Learning Support SA Günther, F Haag, K Hopf, P Handschuh, M Klose, T Staake Digitale Kulturen der Lehre entwickeln – Rahmenbedingungen, Konzepte und …, 2024 | | 2024 |
| Overcoming Anchoring Bias: The Potential of AI and XAI-based Decision Support F Haag, C Stingl, K Zerfass, K Hopf, T Staake 44. International Conference on Information Systems (ICIS 2023), 2023 | | 2023 |
| Addressing Learners' Heterogeneity in Higher Education: An Explainable AI-based Feedback Artifact for Digital Learning Environments F Haag, SA Günther, K Hopf, P Handschuh, M Klose, T Staake International Conference on Wirtschaftsinformatik (WI 2023), 2023 | | 2023 |
Konstantin HopfSenior Researcher and Lecturer, University of BambergVerified email at uni-bamberg.de
