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Publications

Displaying results 861 to 870 of 15202.
  1. Matteo Orsoni; Alexander Pögelt; Nghia Duong-Trung; Mariagrazia Benassi; Milos Kravcik; Martin Grüttmüller

    Recommending Mathematical Tasks Based on Reinforcement Learning and Item Response Theory

    In: Claude Frasson; Phivos Mylonas; Christos Troussas (Hrsg.). Augmented Intelligence and Intelligent Tutoring Systems. International Conference on Intelligent Tutoring Systems (ITS-2023), 19th, June 2-5, Corfu, Greece, Pages 16-28, Lecture Notes in Computer Science (LNCS), No. 13891, ISBN 978-3-031-32882-4, Springer, Cham, 5/2023.

  2. Chandan Kumar Jha; Khushboo Qayyum; Kemal Caglar Coskun; Simranjeet Singh; Muhammad Hassan; Rainer Leupers; Farhad Merchant; Rolf Drechsler

    Automated Formal Verification Methodology for MAGIC Design Style Based In-Memory Computing

    In: 32nd International Workshop on Logic & Synthesis. International Workshop on Logic & Synthesis (IWLS-2023), 32nd, June 5-6, Lausanne, Switzerland, 2023.

  3. Neural Machine Translation Methods for Translating Text to Sign Language Glosses

    In: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics. Annual Meeting of the Association for Computational Linguistics (ACL-2023), 61st, July 9-14, Toronto, ON, Canada, Association for Computational Linguistics, 7/2023.

  4. 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.

  5. 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.

  6. Alan Le Goallec; Samuel Diai; Sasha Collin; Jean-Baptiste Prost; Théo Vincent; Chirag J Patel

    Using deep learning to predict abdominal age from liver and pancreas magnetic resonance images

    In: Nature Communications, Vol. 13, No. 1, Pages 1979-1979, Nature Publishing Group UK London, 2022.

  7. Künstliche Intelligenz und Deep-Learning in der Medizin

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