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Dr.-Ing. Serge Autexier

Organizational unit Cyber-Physical Systems
Contact +49 421 17845 7505 (Bremen) Phone 2: +49 421 218 59834

http://www.informatik.uni-bremen.de/~autexier
Address (Bremen) CartesiumEnrique-Schmidt-Straße 528359 Bremen

Publications

All publications
  1. Physics-Aware Conformal Prediction for Deep Learning-based Wheelchair Local Navigation

    Sara Narteni; Alberto Carlevaro; Zeming Duan; Serge Autexier; Maurizio Mongelli

    In: Khuong An Nguyen; Zhiyuan Luo; Harris Papadopoulos; Tuwe Löfström; Lars Carlsson; Henrik Boström (Hrsg.). Fourteenth Symposium on Conformal and Probabilistic Prediction with Applications. Symposium in Conformal and Probabilistic Prediction with Applications (COPA-2025), September 10-12, London, United Kingdom, Pages 778-780, Proceedings of Machine Learning Research (PMLR), Vol. 266, PMLR,…

Profile

  • InSPoC-3

    InSPoC-3

    In-Space Proof-of-Concept 3 is the third milestone in ESA’s in-space transportation roadmap, aiming at demonstrating the key enabling capabilities for on-board & shared intelligence, culminating at an…

    InSPoC-3
  • HealthyW8

    Empowering healthy lifestyle behaviour through personalised intervention portfolios to prevent and control obesity during vulnerable stages of life

    Over 30% of EU citizens at vulnerable stages and situations in life are at increased risk to transgress from healthy weight to overweight and further to obesity. Though many interventions to tackle…

    HealthyW8
  • ToCaro

    Experiencing together - sharing emotions

    Social interaction is one of the essential factors that determine personal quality of life, which is also shown by the spread of social media. But the restrictions caused by the COVID-19 pandemic have…

    ToCaro
  • REXASI-PRO

    REliable & eXplAinable Swarm Intelligence for People with Reduced mObility

    Artificial intelligence (AI) is being applied widely in many domains and there is a need to realize public trust in these systems. Calls are made to develop a dedicated science to study machine…

    REXASI-PRO
  • RE-SAMPLE

    REal-time data monitoring for Shared, Adaptive, Multi-domain and Personalised prediction and decision making for Long-term Pulmonary care Ecosystems

    Multi-morbid complex chronic conditions (CCCs) are highly prevalent in patients with Chronic Obstructive Pulmonary Disease (COPD) and timely and preventive care is essential. RE-SAMPLE will improve…

    RE-SAMPLE
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