Explainable AI for tailored electricity consumption feedback -- an experimental evaluation of visualizations

24 August 2022

Papers citing "Explainable AI for tailored electricity consumption feedback -- an experimental evaluation of visualizations"

7 / 7 papers shown

Title
Overcoming Anchoring Bias: The Potential of AI and XAI-based Decision Support Felix Haag Carlo Stingl Katrin Zerfass K. Hopf Thorsten Staake 15 3 0 08 May 2024
Designing Explainable Predictive Machine Learning Artifacts: Methodology and Practical Demonstration Giacomo Welsch Peter Kowalczyk 17 1 0 20 Jun 2023
Incremental Permutation Feature Importance (iPFI): Towards Online Explanations on Data Streams Fabian Fumagalli Maximilian Muschalik Eyke Hüllermeier Barbara Hammer 4 20 0 05 Sep 2022
Augmented cross-selling through explainable AI -- a case from energy retailing Felix Haag K. Hopf Pedro Menelau Vasconcelos Thorsten Staake 16 4 0 24 Aug 2022
GAM(e) changer or not? An evaluation of interpretable machine learning models based on additive model constraints Patrick Zschech Sven Weinzierl Nico Hambauer Sandra Zilker Mathias Kraus 6 13 0 19 Apr 2022
What went wrong and when? Instance-wise Feature Importance for Time-series Models S. Tonekaboni Shalmali Joshi Kieran Campbell D. Duvenaud Anna Goldenberg FAtt OOD AI4TS 38 14 0 05 Mar 2020
InceptionTime: Finding AlexNet for Time Series Classification Hassan Ismail Fawaz Benjamin Lucas Germain Forestier Charlotte Pelletier Daniel F. Schmidt J. Weber Geoffrey I. Webb L. Idoumghar Pierre-Alain Muller Franccois Petitjean AI4TS 85 1,058 0 11 Sep 2019