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Wolfgang Maass

9 papers hereh-index 435 citations19 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author9

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • cs.AI2
  • cs.CV1
  • cs.IR1
  • q-bio.QM1
  • stat.ML1
same name
  • Wolfgang Maass — 3 papers, h 0
  • Wolfgang Maass — 2 papers, h 4
  • Wolfgang Maass — 1 paper, h 3
  • Wolfgang Maass — 1 paper, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20222026
most citedAI-based approach for improving the detection of blood doping in sports

5 citations · 6 across the 8 of their papers we have counts for

collaborators
Showing cs.LGShow all

3 papers · 1 filter

cs.LG2026

LongMoE: Longitudinal Multimodal Learning via Trajectory-Aware Mixture-of-Experts

Maxx Richard Rahman, Prakhar Kumar, Wolfgang Maass

Multimodal clinical learning is increasingly important for integrating diverse patient data, including imaging, text, and personalised health records. However, it faces two fundame…

cs.LG2024

RAG for Effective Supply Chain Security Questionnaire Automation

Zaynab Batool Reza, Abdul Rafay Syed, Omer Iqbal +4

In an era where digital security is crucial, efficient processing of security-related inquiries through supply chain security questionnaires is imperative. This paper introduces a…

cs.LG2022★ 5 cited

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

Maxx Richard Rahman, Jacob Bejder, Thomas Christian Bonne +5

Sports officials around the world are facing incredible challenges due to the unfair means of practices performed by the athletes to improve their performance in the game. It inclu…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.