Skip to main content Skip to main navigation

Publikationen

Zeige Ergebnisse 1651 bis 1660 von 13876.

  1. Malte Ostendorff; Georg Rehm

    Efficient Language Model Training through Cross-Lingual and Progressive Transfer Learning

    PML4DC @ ICLR 2023, 2023.

  2. André Antakli; Akbar Kazimov; Daniel Spieldenner; Gloria Elena Jaramillo Rojas; Ingo Zinnikus; Matthias Klusch

    AJAN: An Engineering Framework for Semantic Web-Enabled Agents and Multi-Agent Systems

    In: Philippe Mathieu; Frank Dignum; Paulo Novais; Fernando De la Prieta (Hrsg.). Advances in Practical Applications of Agents, Multi-Agent Systems, and Cognitive Mimetics. The PAAMS Collection. International Conference on Practical Applications of Intelligent Agents and Multiagents (PAAMS-2023), 21th, July 12-14, Guimarães, Portugal, Springer Nature, 2023.

  3. Alan Le Goallec; Sasha Collin; M'Hamed Jabri; Samuel Diai; Théo Vincent; Chirag J Patel

    Machine learning approaches to predict age from accelerometer records of physical activity at biobank scale

    In: PLOS Digital Health, Vol. 2, No. 1, Pages e0000176-e0000176, Public Library of Science San Francisco, San Francisco, CA USA, 2023.

  4. Andreas Dengel

    Künstliche Intelligenz und Deep-Learning in der Medizin

    In: Ärzteblatt Rheinland-Pfalz, Vol. 05/23, Pages 21-22, Quintessenz Verlags-GmbH, 2023.

  5. Ekta Sood; Lei Shi; Matteo Bortoletto; Yao Wang; Philipp Müller; Andreas Bulling

    Improving Neural Saliency Prediction with a Cognitive Model of Human Visual Attention

    In: Proceedings of the 45th Annual Meeting of the Cognitive Science Society (CogSci). Annual Conference of the Cognitive Science Society (CogSci-2023), July 26-29, Sydney, NSW, Australia, Cognitive Science Society, 2023.

  6. Sara Khan; Mehmed Yüksel; Andre Ferreira

    ASIMS: Acceleration Spectrograms Based Intelligent Mobility System for Vehicle Damage Detection

    In: Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems VEHITS. International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS-2023), April 26-28, Prague, Czech Republic, Pages 179-186, Vol. 1, ISBN 978-989-758-652-1, SciTePress, 4/2023.

  7. Daphne Theodorakopoulos; Christoph Manss; Frederic Theodor Stahl; Marius Lindauer

    Green AutoML for Plastic Litter Detection

    In: ICLR 2023 Workshop on Tackling Climate Change with Machine Learning. International Conference on Learning Representations (ICLR), None, 2023.

  8. Michael Kenzel; Stefan Lemme; Richard Membarth; Matthias Kurtenacker; Hugo Devillers; Markus Steinberger; Philipp Slusallek

    AnyQ: An Evaluation Framework for Massively-Parallel Queue Algorithms

    In: Proceedings of the 37th IEEE International Parallel & Distributed Processing Symposium (IPDPS). IEEE International Parallel & Distributed Processing Symposium (IPDPS-2023), May 15-19, St. Petersburg, FL, USA, Pages 736-745, IEEE, 5/2023.

  9. Mehmed Yüksel; Thomas M. Röhr; Marko Jankovic; Wiebke Brinkmann; Frank Kirchner

    A Reference Implementation for Knowledge Assisted Robot Development for Planetary and Orbital Robotics

    In: Acta Astronautica, Vol. 2023, Pages 1-16, Elsevier Ltd. 2023.

  10. Janina Schneider; Andre Miedtank; Oliver Zielinski

    Towards Digital Twins of the Oceans: The Potential of Machine Learning for Monitoring the Impacts of Offshore Wind Farms on Marine Environments

    In: Sensors - Open Access Journal (Sensors), Vol. 23, Page 4581, MDPI, 2023.

Jahr

Mehr Optionen