Maxx Richard Rahman

According to our database, Maxx Richard Rahman authored at least 8 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

LLMRS: Unlocking Potentials of LLM-Based Recommender Systems for Software Purchase.

Angela John, Theophilus Aidoo, Hamayoon Behmanush, Irem B. Gunduz, Hewan Shrestha, Maxx Richard Rahman, Wolfgang Maaß

CoRR, 2024

SACNN: Self Attention-based Convolutional Neural Network for Fraudulent Behaviour Detection in Sports.

Maxx Richard Rahman, Lotfy H. Abdel Khaliq, Thomas Piper, Hans Geyer, Tristan Equey, Norbert Baume, Reid Aikin, Wolfgang Maass

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Analysing the Unseen: Leveraging Data Analytics to Combat the Societal Challenge of Doping in Sports.

Maxx Richard Rahman, Lotfy H. Abdel Khaliq, Thomas Piper, Hans Geyer, Tristan Equey, Norbert Baume, Reid Aikin, Wolfgang Maass

Proceedings of the 45th International Conference on Information Systems, 2024

Semantic Priming via Knowledge graphs to analyze and treat language model's Honest Lies.

Cicy Kuriakose Agnes, Maxx Richard Rahman, Wolfgang Maass

Proceedings of the 45th International Conference on Information Systems, 2024

2023

Modelling Metabolism Pathways using Graph Representation Learning for Fraud Detection in Sports.

Maxx Richard Rahman, Mohammed Hussain, Thomas Piper, Hans Geyer, Tristan Equey, Norbert Baume, Reid Aikin, Wolfgang Maass

Proceedings of the IEEE International Conference on Digital Health, 2023

2022

AI-based approach for improving the detection of blood doping in sports.

Maxx Richard Rahman, Jacob Bejder, Thomas Christian Bonne, Andreas Breenfeldt Andersen, Jesús Rodríguez Huertas, Reid Aikin, Nikolai Baastrup Nordsborg, Wolfgang Maaß

CoRR, 2022

Data Analytics for Uncovering Fraudulent Behaviour in Elite Sports.

Maxx Richard Rahman, Thomas Piper, Hans Geyer, Tristan Equey, Norbert Baume, Reid Aikin, Wolfgang Maass

Proceedings of the 43rd International Conference on Information Systems, 2022

Detection of Erythropoietin in Blood to Uncover Doping in Sports using Machine Learning.

Maxx Richard Rahman, Jacob Bejder, Thomas Christian Bonne, Andreas Breenfeldt Andersen, Jesús Rodríguez Huertas, Reid Aikin, Nikolai Baastrup Nordsborg, Wolfgang Maass

Proceedings of the IEEE International Conference on Digital Health, 2022