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Maxx Richard Rahman
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2020 – today
- 2024
- [c6]Cicy Kuriakose Agnes, Maxx Richard Rahman, Wolfgang Maass:
Semantic Priming via Knowledge graphs to analyze and treat language model's Honest Lies. ICIS 2024 - [c5]Maxx Richard Rahman, Lotfy H. Abdel Khaliq, Thomas Piper, Hans Geyer, Tristan Equey, Norbert Baume, Reid Aikin, Wolfgang Maass:
Analysing the Unseen: Leveraging Data Analytics to Combat the Societal Challenge of Doping in Sports. ICIS 2024 - [c4]Maxx Richard Rahman, Lotfy H. Abdel Khaliq, Thomas Piper, Hans Geyer, Tristan Equey, Norbert Baume, Reid Aikin, Wolfgang Maass:
SACNN: Self Attention-based Convolutional Neural Network for Fraudulent Behaviour Detection in Sports. IJCAI 2024: 6017-6025 - [i2]Angela John, Theophilus Aidoo, Hamayoon Behmanush, Irem B. Gunduz, Hewan Shrestha
, Maxx Richard Rahman, Wolfgang Maaß:
LLMRS: Unlocking Potentials of LLM-Based Recommender Systems for Software Purchase. CoRR abs/2401.06676 (2024) - 2023
- [c3]Maxx Richard Rahman, Mohammed Hussain, Thomas Piper, Hans Geyer, Tristan Equey, Norbert Baume, Reid Aikin, Wolfgang Maass:
Modelling Metabolism Pathways using Graph Representation Learning for Fraud Detection in Sports. ICDH 2023: 158-168 - 2022
- [c2]Maxx Richard Rahman, Jacob Bejder
Detection of Erythropoietin in Blood to Uncover Doping in Sports using Machine Learning. ICDH 2022: 193-201 - [c1]Maxx Richard Rahman, Thomas Piper, Hans Geyer, Tristan Equey, Norbert Baume, Reid Aikin, Wolfgang Maass:
Data Analytics for Uncovering Fraudulent Behaviour in Elite Sports. ICIS 2022 - [i1]Maxx Richard Rahman, Jacob Bejder
AI-based approach for improving the detection of blood doping in sports. CoRR abs/2203.00001 (2022)
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