Maxx Richard Rahman — accepted AI-conference papers

2026

STT-LLM: Structural-Temporal Tokenization for Adapting LLMs to Longitudinal Clinical Profiles

Maxx Richard Rahman, Mostafa Hammouda, Wolfgang Maass

ICML 2026poster

Large Language Models have shown strong generalization across natural language tasks but remain underexplored for longitudinal clinical profiles. In sports anti-doping, biological profiles are analyzed to support early detection of prohibited substance use and identification of anomalous biological …

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2024

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

Maxx Richard Rahman, Lotfy Abdel Khaliq, Thomas Piper, Hans Geyer, Tristan Equey, Norbert Baume +2

IJCAI 2024poster

Doping practices in sports by unscrupulous athletes have been an important societal issue for several decades. Recently, sample swapping has been raised as a potential practice performed by athletes to swap their doped samples with clean samples to evade the positive doping test. So far, the only pr…

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