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Publikationen

Zeige Ergebnisse 3001 bis 3010 von 14796.
  1. Kerstin Wagner; Agathe Merceron; Petra Sauer; Niels Pinkwart

    Personalized and Explainable Course Recommendations for Students at Risk of Dropping out

    In: Antonija Mitrovic; Nigel Bosch (Hrsg.). Proceedings of the 15th International Conference on Educational Data Mining. International Conference on Educational Data Mining (EDM), July 24-27, Dorham, United Kingdom, Pages 657-661, ISBN 978-1-7336736-3-1, International Educational Data Mining Society, 7/2022.

  2. Von Sensordaten zur Erkenntnis - Ansätze der KI für die Datennutzung (Kurzfassung des Vortrags)

    In: Kongressband 133. VDLUFA-Kongress - Senorsysteme in der Landwirtschaft - Chancen und Herausforderungen. VDLUFA-Kongress, Senorsysteme in der Landwirtschaft - Chancen und Herausforderungen, September 13-16, Matin-Luther-Universität Halle-Wittenberg, Germany, Pages 28-32, VDLUFA-Schriftenreihe, Vol. 78/2022, ISBN 978-3-941273-34-4, VDLUFA-Verlag, Darmstadt, 2022.

  3. Multilingual Relation Classification via Efficient and Effective Prompting

    In: Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing (EMNLP-2022), Online and Abu Dhabi, the United Arab Emirates, Association for Computational Linguistics, 2022.

  4. Michael Zentarra; Julian Ahrens; Lia Ahrens

    From Channel Measurement to Training Data for PHY Layer AI Applications

    In: 2022 Workshop on Next Generation Networks and Applications. Workshop on Next Generation Networks and Applications (NGNA-2022), November 24, Kaiserslautern, Germany, Technische Universität Kaiserslautern, 11/2022.

  5. Dan Hudson; Travis J. Wiltshire; Martin Atzmueller

    Visualization Methods for Exploratory Subgroup Discovery on Time Series Data

    In: Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence. Workshop on Affective Computing and Context Awareness in Ambient Intelligence (AfCAI-2022), located at 9th International Work-Conference on the Interplay between Natural and Artificial Computation (IWINAC2022), June 1, Puerto de la Cruz, Tenerife, Spain, Pages 34-44, Lecture Notes in Computer Science (LNCS), Vol. 13259, Springer, Cham, 5/2022.

  6. Kai Krämer; Ludger van Elst; Asier Arteaga

    Traveling Salesman Problem: A Case Study of a Scheduling Problem in a Steelmaking Plant

    In: Ludger van Elst; Tulay Caglayan Ozlu; Kurosh Madani (Hrsg.). Proceedings of the 3rd International Conference on Innovative Intelligent Industrial Production and Logistics - Volume 1: ETCIIM. International Workshop on Emerging Trends and Case-Studies in Industry 4.0 and Intelligent Manufacturing (ETCIIM-2022), located at 3rd International Conference on Innovative Intelligent Industrial Production and Logistics, Pages 291-296, ISBN 978-989-758-612-5, SciTePress, 2022.

  7. Josip Josifovski; Mohammadhossein Malmir; Noah Klarmann; Bare Luka Zagar; Nicolás Navarro-Guerrero; Alois Knoll

    Analysis of Randomization Effects on Sim2Real Transfer in Reinforcement Learning for Robotic Manipulation Tasks

    In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), October 23-27, Kyoto, Japan, Pages 10193-10200, ISBN 978-1-66547-927-1, IEEE, 10/2022.

  8. Shu-Rong Yan; Manwen Tian; Khalid A. Alattas; Ardashir Mohamadzadeh; Mohammad Hosein Sabzalian; Amirhosein Mosavi

    An Experimental Machine Learning Approach for Mid-Term Energy Demand Forecasting

    In: IEEE Access (IEEE), Vol. 10, Pages 118926-118940, IEEE, 11/2022.

  9. Mahsa Manshadi; Milad Mousavi; M. Soltani; Amirhosein Mosavi; Levente Kovacs

    Deep Learning for Modeling an Offshore Hybrid Wind–Wave Energy System

    In: Energies, Vol. 15, No. 24, Pages 9484-9494, MDPI, 12/2022.

  10. Volker Schaus; Tilman Andriof; Colin Borrett; Ingo Burmeister; Francisco Cabral; José Carvalho; Markus Daugs; Louise Hetherton; Florian Jung; Anthony de la Llave; Silvia Martinavarro; Keiran McNally; Maria Mirgkizoudi; Dinesh Natarajan; Marlon Nuske; Deepak Kumar Pathak; Ian Purton; Fabian Schiemenz; Zoe Tenacci; Benedikt Veith; Jan Siminski; Klaus Merz

    First results of ESA’s collision risk estimation and automated mitigation (CREAM) programme

    In: 73rd. International Astronautical Congress (IAC-2022), 20th IAA Symposium on Space Debris, September 18-22, Paris, France, IAF, 2022.