| Detection of erythropoietin in blood to uncover doping in sports using machine learning MR Rahman, J Bejder, TC Bonne, AB Andersen, JR Huertas, R Aikin, ... 2022 IEEE International Conference on Digital Health (ICDH), 193-201, 2022 | 8 | 2022 |
| A comprehensive study on Physico-Mechanical characteristics of Okra fibre (Abelmoschus esculentus) for textile applications MT Hossen, T Islam, EI Mahee, ZT Reza, M Rahman, MS Mahmud Indian Journal of Science and Technology 14 (9), 765-775, 2021 | 8 | 2021 |
| Data analytics for uncovering fraudulent behaviour in elite sports MR Rahman, T Piper, H Geyer, T Equey, N Baume, R Aikin, W Maass | 4 | 2022 |
| Modelling metabolism pathways using graph representation learning for fraud detection in sports MR Rahman, M Hussain, T Piper, H Geyer, T Equey, N Baume, R Aikin, ... 2023 IEEE International Conference on Digital Health (ICDH), 158-168, 2023 | 3 | 2023 |
| AI-based approach for improving the detection of blood doping in sports MR Rahman, J Bejder, TC Bonne, AB Andersen, JR Huertas, R Aikin, ... arXiv preprint arXiv:2203.00001, 2022 | 3 | 2022 |
| LLMRS: Unlocking Potentials of LLM-Based Recommender Systems for Software Purchase A John, T Aidoo, H Behmanush, IB Gunduz, H Shrestha, MR Rahman, ... arXiv preprint arXiv:2401.06676, 2024 | 2 | 2024 |
| Incorporating Metabolic Information into LLMs for Anomaly Detection in Clinical Time-Series MR Rahman, R Liu, W Maass arXiv preprint arXiv:2410.12830, 2024 | 1 | 2024 |
| SACNN: Self Attention-based Convolutional Neural Network for Fraudulent Behaviour Detection in Sports MR Rahman, LA Khaliq, T Piper, H Geyer, T Equey, N Baume, R Aikin, ... 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024 …, 2024 | 1 | 2024 |
| SNOOP method: faithfulness of text summarizations for single nucleotide polymorphisms W Maass, CK Agnes, MR Rahman, JS Almeida AAAI Conf. Artif. Intell 2023, 2023 | 1 | 2023 |
| RAG for Effective Supply Chain Security Questionnaire Automation ZB Reza, AR Syed, O Iqbal, E Mensah, Q Liu, MR Rahman, W Maass arXiv preprint arXiv:2412.13988, 2024 | | 2024 |
| RAG for Effective Supply Chain Security Questionnaire Automation Z Batool Reza, A Rafay Syed, O Iqbal, E Mensah, Q Liu, MR Rahman, ... arXiv e-prints, arXiv: 2412.13988, 2024 | | 2024 |
| Generative Artificial Intelligence in Anti-doping Analysis in Sports MR Rahman, W Maass Artificial Intelligence in Sports, Movement, and Health, 81-93, 2024 | | 2024 |
| Towards Objectively Interpretable Fault Diagnosis for Time-Series Data in Grinding TT Chan, K Lange, R Liu, A Wein, N Keßler, MR Rahman, W Maass | | 2024 |
| Analysing the Unseen: Leveraging Data Analytics to Combat the Societal Challenge of Doping in Sports MR Rahman, L Abdel Khaliq, T Piper, H Geyer, T Equey, N Baume, ... | | 2024 |
| Semantic Priming via Knowledge graphs to analyze and treat language model’s Honest Lies CK Agnes, MR Rahman, W Maass | | 2024 |
| Generative AI in Anti-Doping Analysis in Sports MR Rahman, W Maass | | 2024 |
| Muhammad Qirtas, Malik 157 Murphy, Susan 13 Na, Liangyuan 13 Navitas and Envision Studies, Navitas and Envision Studies 47 CL Hung, M Iaconelli, T Itoh, HF Jelinek, S Jemimah, SM Jonas, J Jumiati, ... | | 2022 |
| Background estimation in the search for single production of vector-like quarks decaying into Wb in pp collisions using a data-driven method at √s = 13 TeV with the ATLAS detector MR Rahman University of Bonn, 2020 | | 2020 |
Wolfgang MaassProfessor of Business Informatics, Saarland UniversityVerified email at iss.uni-saarland.de