| Do we need another explainable AI method? Toward unifying post-hoc XAI evaluation methods into an interactive and multi-dimensional benchmark MK Belaid, E Hüllermeier, M Rabus, R Krestel arXiv preprint arXiv:2207.14160, 2022 | 19 | 2022 |
| CrashNet: An encoder–decoder architecture to predict crash test outcomes MK Belaid, M Rabus, R Krestel Data Mining and Knowledge Discovery 35, 1688-1709, 2021 | 7 | 2021 |
| Compare-xAI: Toward Unifying Functional Testing Methods for Post-hoc XAI Algorithms into a Multi-dimensional Benchmark MK Belaid, R Bornemann, M Rabus, R Krestel, E Hüllermeier World Conference on Explainable Artificial Intelligence, 88-109, 2023 | 5 | 2023 |
| Development of a model for the prediction of occupant loads in vehicle crashes: introduction of the Real Occupant Load Criterion for Prediction (ROLC) M Rabus, MK Belaid, SA Maurer, S Hiermaier Automotive and Engine Technology 7 (3), 229-244, 2022 | 4 | 2022 |
| Optimizing Data Shapley Interaction Calculation from O (2^ n) to O (tn^ 2) for KNN models MK Belaid, DE Mekki, M Rabus, E Hüllermeier arXiv preprint arXiv:2304.01224, 2023 | 3 | 2023 |
| Compare-XAI: Toward unifying functional testing methods for post-hoc XAI algorithms into an interactive and multi-dimensional benchmark MK Belaid, E Hüllermeier, M Rabus, R Krestel arXiv preprint arXiv:2207.14160, 2022 | 2 | 2022 |
| Pairwise Difference Learning for Classification MK Belaid, M Rabus, E Hüllermeier arXiv preprint arXiv:2406.20031, 2024 | 1 | 2024 |
| COMPUTER-IMPLEMENTED METHOD FOR SIMULATING AN ACCIDENT OF A MOTOR VEHICLE USING AN ARTIFICIAL NEURAL NETWORK MK Belaid, M Rabus US Patent App. 18/650,711, 2024 | | 2024 |
| LossVal: Efficient Data Valuation for Neural Networks T Wibiral, MK Belaid, M Rabus, A Scherp arXiv preprint arXiv:2412.04158, 2024 | | 2024 |
| Weighted Pairwise Difference Learning MK Belaid, T Wibiral, M Rabus, E Hüllermeier | | 2024 |
| Modell zur Prognose von Dummybelastungen für eine effiziente Auslegung der Passiven Sicherheit von Fahrzeugen M Rabus Dissertation, Universität Freiburg, 2024, 0 | | |
Mohamed Karim BelaidPorsche AGVerified email at porsche.de
Mohamed Karim BelaidPorsche AGVerified email at porsche.de