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
22 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
6 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
5 2022 Policy learning for malaria control VB Nguyen, BM Karim, BL Vu, J Schlötterer, M Granitzer
arXiv preprint arXiv:1910.08926, 2019
4 2019 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 Pairwise Difference Learning for Classification MK Belaid, M Rabus, E Hüllermeier
International Conference on Discovery Science, 284-299, 2024
1 2024 Comparison of Neuronal Attention Models MK Belaid
arXiv preprint arXiv:1912.03467, 2019
1 2019 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 Pairwise Difference Learning for Classification No.1 M Rabus, MK Belaid
DE Patent DE10 2024 103 687.7, 2024
2024 Weighted Pairwise Difference Learning MK Belaid, T Wibiral, M Rabus, E Hüllermeier
2024 Computerimplementiertes Verfahren zur automatisierten Auswertung von Crashtestdaten M Rabus, MK Belaid
DE Patent DE10 2023 119 895.5, 2023
2023 Computerimplementiertes Verfahren zur automatisierten Auswertung von Crashtestdaten M Rabus, MK Belaid
DE Patent DE10 2023 119 887.4, 2023
2023 Computerimplementiertes Verfahren zur Simulation eines Unfalls eines Kraftfahrzeugs mittels eines künstlichen neuronalen Netzwerks M Rabus, MK Belaid
DE Patent DE10 2023 115 585.7, 2023
2023 Computerimplementiertes Verfahren zur Berechnung einer Berechnungsausgangsgröße aus einer Berechnungsausgangsgröße M Rabus, MK Belaid
DE Patent DE10 2023 103 652.1, 2023
2023 Method, system, test system and computer program product for the predictive determination of test results for a technical test object M Rabus, MK Belaid
DE Patent DE102020132042A1, 2022
2022 Computer-implemented method for simulating an accident in a motor vehicle using a neural network M Rabus, MK Belaid
DE Patent DE102020115192A1, 2021
2021 After All, Only The Last Neuron Matters: Comparing Multi-modal Fusion Functions for Scene Graph Generation MK Belaid
arXiv preprint arXiv:2011.04779, 2020
2020 
Eyke HüllermeierProfessor of Computer Science, Paderborn UniversityZweryfikowany adres z upb.de