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Publikationen

Zeige Ergebnisse 1121 bis 1130 von 14738.

  1. Jonas Seng; Florian Peter Busch; Kristian Kersting

    Causality in Flux: Continual Adaptation of Causal Knowledge via Evidence Matching

    In: Martin Mundt; Keiland W. Cooper; Devendra Singh Dhami; Tyler L. Hayes; Rebecca Herman; Adéle Ribeiro; James Seale Smith (Hrsg.). Proceedings of The Second AAAI Bridge Program on Continual Causality. AAAI Bridge Program on Continual Causality, February 20-21, Vancouver, Canada, Pages 11-20, Proceedings of Machine Learning Research (PMLR), Vol. 268, PMLR, 2024.

  2. Wolfgang Stammer; Felix Friedrich; David Steinmann; Manuel Brack; Hikaru Shindo; Kristian Kersting

    Learning by Self-Explaining

    In: Transactions on Machine Learning Research (TMLR), Vol. 2024, Pages 1-35, arXiv, 2024.

  3. Daniel Ochs; Karsten Wiertz; Sebastian Bußmann; Kristian Kersting; Devendra Singh Dhami

    Effective Risk Detection for Natural Gas Pipelines Using Low-Resolution Satellite Images

    In: Remote Sensing, Vol. 16, No. 2, Pages 1-13, MDPI, 2024.

  4. Hikaru Shindo; Viktor Pfanschilling; Devendra Singh Dhami; Kristian Kersting

    Learning differentiable logic programs for abstract visual reasoning

    In: Journal of Machine Learning Research (JMLR), Vol. 113, No. 11, Pages 8533-8584, arXiv, 2024.

  5. Matej Zecevic; Devendra Singh Dhami; Kristian Kersting

    Structural causal models reveal confounder bias in linear program modelling

    In: Journal of Machine Learning Research (JMLR), Vol. 113, No. 3, Pages 1329-1349, Springer, 2024.

  6. Dominik Hintersdorf; Lukas Struppek; Manuel Brack; Felix Friedrich; Patrick Schramowski; Kristian Kersting

    Does CLIP Know My Face?

    In: Journal of Artificial Intelligence Research (JAIR), Vol. 80, Pages 1033-1062, arXiv, 2024.

  7. Julie Gandrup; David Antony Selby; William Dixon

    Classifying self-reported rheumatoid arthritis flares using daily patient-generated data from a smartphone app: exploratory analysis applying machine learning approaches

    In: JMIR Formative Research (JMIR Form Res), Vol. 8, Page e50679, JMIR Publications, 5/2024.

  8. David Antony Selby; Kai Spriestersbach; Yuichiro Iwashita; Dennis Bappert; Archana Warrier; Sumantrak Mukherjee; Muhammad Nabeel Asim; Koichi Kise; Sebastian Vollmer

    Had enough of experts? Elicitation and evaluation of Bayesian priors from large language models

    In: NeurIPS 2024 Workshop on Bayesian Decision-making and Uncertainty. Neural Information Processing Systems (NeurIPS-2024), Workshop on Bayesian Decision-making and Uncertainty, located at NeuIPS-2024, December 14, Vancouver, BC, Canada, NeurIps Foundation, 2024.

  9. Enrico Kochon; Daniel Stattkus; Simon Binz; Marian Eleks; Nils Lauinger; Philipp Fukas; Ann-Kristin Claudia Müller; Julia Knopf; Oliver Thomas

    I don't know who you are, but I know what you need: Guidelines for Federated Learning in Educational Recommender Systems

    In: Wirtschaftsinformatik 2024 Proceedings. Internationale Tagung Wirtschaftsinformatik (WI-2024), September 16-19, Würzburg, Germany, Association for Information Systems, 2024.

  10. Joscha Grüger

    Process Mining for Healthcare: Discover Beyond Discovery

    PhD-Thesis, Universität Trier, 2024.

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