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Publications

Displaying results 301 to 310 of 15067.

  1. Rashmi Alur Ramachandra; Jayasankar Santhosh; Andreas Dengel; Shoya Ishimaru

    Enhancing Stress Detection for Students: Exploring the Impact of Fine-Tuning and User-Specific Data Calibration in Deep Learning

    In: International Journal of Activity and Behavior Computing, Vol. 2024, Pages 1-21, J-Stage, 2024.

  2. Summra Saleem; Muhammad Nabeel Asim; Ludger van Elst; Peter Schichtel; Andreas Dengel

    RPRP-SAP: A Robust and Precise ResNet Predictor for Steering Angle Prediction of Autonomous Vehicles

    In: IEEE Access (IEEE), Vol. 12, Pages 21472-21490, Institute of Electrical and Electronics Engineers (IEEE), 2/2024.

  3. Jayasankar Santhosh; Akshay Palimar Pai; Shoya Ishimaru

    Toward an Interactive Reading Experience: Deep Learning Insights and Visual Narratives of Engagement and Emotion

    In: IEEE Access (IEEE), Vol. 12, Pages 6001-6016, IEEE, 2024.

  4. Tom Vincent Slawik; Bilal Wehbe; Leif Christensen

    Deep Reinforcement Learning for Path-Following Control of an Autonomous Surface Vehicle using Domain Randomization

    In: 15th IFAC Conference on Control Applications in Marine Systems, Robotics and Vehicles, 2024. IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles (CAMS-2024), September 3-5, Blacksburg, Virginia, USA, n.n. 9/2024.

  5. Laura Hein; Malte Högemann; Katharina-Maria Illgen; Daniel Stattkus; Enrico Kochon; Maja-Gwendoline Reibold; Jannick Eckle; Lena Seiwert; Jan Heinrich Beinke; Julia Knopf; Oliver Thomas

    ChatGPT als Unterstützung von Lehrkräften – Einordnung, Analyse und Anwendungsbeispiele

    In: HMD - Praxis der Wirtschaftsinformatik (HMD), Vol. 61, No. 2, Pages 449-470, Springer, 2/2024.

  6. Alina Boehm; Tim Schneider; Boris Belousov; Alap Kshirsagar; Lisa Lin; Katja Doerschner; Knut Drewing; Constantin A. Rothkopf; Jan Peters

    What Matters for Active Texture Recognition With Vision-Based Tactile Sensors

    In: IEEE International Conference on Robotics and Automation. IEEE International Conference on Robotics and Automation (ICRA-2024), IEEE, 2024.

  7. Bernhard Vogginger; Amirhossein Rostami; Vaibhav Jain; Sirine Arfa; Andreas Hantsch; David Kappel; Michael Schäfer; Ulrike Faltings; Hector A. Gonzalez; Chen Liu; Christian Mayr; Wolfgang Maaß

    Neuromorphic hardware for sustainable AI data centers

    -, arXiv, 6/2024.

  8. Alexander Tornede; Difan Deng; Theresa Eimer; Joseph Giovanelli; Aditya Mohan; Tim Ruhkopf; Sarah Segel; Daphne Theodorakopoulos; Tanja Tornede; Henning Wachsmuth; Marius Lindauer

    AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks

    In: Cedric Archambeau (Hrsg.). Transactions on Machine Learning Research (TMLR), Vol. 02/2024, Pages 1-31, JMLR, 2/2024.

  9. Shishir Muralidhara; Saqib Bukhari; Georg Schneider; Didier Stricker; René Schuster

    CLEO: Continual Learning of Evolving Ontologies

    In: European Conference on Computer Vision. European Conference on Computer Vision (ECCV-2024), September 29 - October 4, Mailand, Germany, Springer, 2024.

  10. Ilira Troshani; Thiago Gouvea; Daniel Sonntag

    Wild Data Treasures: Towards Sustainable Practices in Deep Learning for Wildlife Monitoring

    In: CHI EA '24: Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems. CHI Workshop on Sustaining Scalable Sustainability, Human-Centered Green Technology for Community-wide Carbon Reduction, located at ACM CHI 2024, May 11, Honolulu, HI, USA, ISBN 979-8-4007-0331-7, ACM, New York, USA, 5/2024.

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