| Xair: A systematic metareview of explainable ai (xai) aligned to the software development process T Clement, N Kemmerzell, M Abdelaal, M Amberg Machine Learning and Knowledge Extraction 5 (1), 78-108, 2023 | 81 | 2023 |
| Towards scalable economic photovoltaic potential analysis using aerial images and deep learning S Krapf, N Kemmerzell, S Khawaja Haseeb Uddin, M Hack Vazquez, ... Energies 14 (13), 3800, 2021 | 37 | 2021 |
| Langxai: Integrating large vision models for generating textual explanations to enhance explainability in visual perception tasks TTH Nguyen, T Clement, PTL Nguyen, N Kemmerzell, VB Truong, ... arXiv preprint arXiv:2402.12525, 2024 | 7 | 2024 |
| Beyond explaining: XAI-based Adaptive Learning with SHAP Clustering for Energy Consumption Prediction T Clement, HTT Nguyen, N Kemmerzell, M Abdelaal, D Stjelja arXiv preprint arXiv:2402.04982, 2024 | 3 | 2024 |
| Coping with Data Distribution Shifts: XAI-Based Adaptive Learning with SHAP Clustering for Energy Consumption Prediction T Clement, HTT Nguyen, N Kemmerzell, M Abdelaal, D Stjelja Australasian Joint Conference on Artificial Intelligence, 147-159, 2023 | 2 | 2023 |
| Towards a Quantitative Evaluation Framework for Trustworthy AI in Facial Analysis A Schreiner, N Kemmerzell 57th Hawaii International Conference on System Sciences, HICSS 2024, Hilton …, 2024 | 1 | 2024 |
| Quantifying the Trade-Offs Between Dimensions of Trustworthy AI-An Empirical Study on Fairness, Explainability, Privacy, and Robustness N Kemmerzell, A Schreiner German Conference on Artificial Intelligence (Künstliche Intelligenz), 128-146, 2024 | | 2024 |
| Disentangling the Linguistic Competence of Privacy-Preserving BERT S Arnold, N Kemmerzell, A Schreiner arXiv preprint arXiv:2310.11363, 2023 | | 2023 |
