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Publications

Displaying results 341 to 350 of 14767.

  1. Raksha Kumaraswamy; Phillip Odom; Kristian Kersting; David Leake; Sriraam Natarajan

    Transfer Learning via Relational Type Matching

    In: Charu C. Aggarwal; Zhi-Hua Zhou; Alexander Tuzhilin; Hui Xiong; Xindong Wu (Hrsg.). 2015 IEEE International Conference on Data Mining. IEEE International Conference on Data Mining (ICDM-2015), November 14-17, Atlantic City, NJ, USA, Pages 811-816, IEEE Computer Society, 2015.

  2. Shuo Yang; Kristian Kersting; Greg Terry; Jefferey Carr; Sriraam Natarajan

    Modeling Coronary Artery Calcification Levels from Behavioral Data in a Clinical Study

    In: John H. Holmes; Riccardo Bellazzi; Lucia Sacchi; Niels Peek (Hrsg.). Artificial Intelligence in Medicine - 15th Conference on Artificial Intelligence in Medicine. Conference on Artificial Intelligence in Medicine (AIME-2015), June 17-20, Pavia, Italy, Pages 182-187, Lecture Notes in Computer Science, Vol. 9105, Springer, 2015.

  3. Rafet Sifa; Fabian Hadiji; Julian Runge; Anders Drachen; Kristian Kersting; Christian Bauckhage

    Predicting Purchase Decisions in Mobile Free-to-Play Games

    In: Arnav Jhala; Nathan R. Sturtevant (Hrsg.). Proceedings of the Eleventh AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. AAAI Conference on Artificial Intelligence (AAAI-2015), November 14-18, Santa Cruz, CA, USA, Pages 79-85, AAAI Press, 2015.

  4. Fabian Hadiji; Alejandro Molina; Sriraam Natarajan; Kristian Kersting

    Poisson Dependency Networks: Gradient Boosted Models for Multivariate Count Data

    In: Machine Learning, Vol. 100, No. 2-3, Pages 477-507, Springer, 2015.

  5. Marion Neumann; Shan Huang; Daniel E. Marthaler; Kristian Kersting

    pyGPs: a Python library for Gaussian process regression and classification

    In: Journal of Machine Learning Research, Vol. 16, Pages 2611-2616, JMLR, 2015.

  6. Tobias Dreesbach; Jan Beinke; Arne Dethloff; Fabian van Dülmen; Oliver Thomas

    Impact and Limitations of AR-Based Guidance for Assembly Workers

    In: Jeffrey Voas (Hrsg.). IEEE Computer, IEEE Computer Society, 2023.

  7. Khaleel Asyraaf Mat Sanusi; Bibeg Limbu; Jan Schneider; Milos Kravcik; Roland Klemke (Hrsg.)

    Proceedings of the Third International Workshop on Multimodal Immersive Learning Systems (MILeS 2023)

    International Workshop on Multimodal Immersive Learning Systems (MILeS-2023), located at Eighteenth European Conference on Technology Enhanced Learning (EC-TEL 2023), September 4-8, Aveiro, Portugal, CEUR, Vol. 3499, CEUR Workshop Proceedings, Aachen, 10/2023.

  8. Hitesh Kotte; Milos Kravcik; Nghia Duong-Trung

    Real-Time Posture Correction in Gym Exercises: A Computer Vision-Based Approach for Performance Analysis, Error Classification and Feedback

    In: Khaleel Asyraaf Mat Sanusi; Bibeg Limbu; Jan Schneider; Milos Kravcik; Roland Klemke (Hrsg.). Proceedings of the Third International Workshop on Multimodal Immersive Learning Systems (MILeS 2023). International Workshop on Multimodal Immersive Learning Systems (MILeS-2023), located at Eighteenth European Conference on Technology Enhanced Learning (EC-TEL 2023), September 4-8, Aveiro, Portugal, Pages 64-70, Vol. 3499, CEUR Workshop Proceedings, Aachen, 10/2023.

  9. Christoph Fischer; Jörg Schneider; Dennis Krummacker; Dennis Salzmann; Taras Holoyad; Hans Dieter Schotten; RPTU University of Kaiserslautern-Landau

    A Regulators Perspective on Digital Twinning for Mobile Communications

    In: ITG-Fb. 311: Mobilkommunikation; Technologien und Anwendungen. VDE/ITG Fachtagung Mobilkommunikation (MKT-2023), 27. Fachtagung Mobilkommunikation, located at VDE, May 10-11, Osnabrück, Germany, ISBN 978-3-8007-6094-7, VDE, 2023.

  10. Raghav Soni; Daniel Harnack; Hannah Isermann; Sotaro Fushimi; Shivesh Kumar; Frank Kirchner

    End-to-End Reinforcement Learning for Torque Based Variable Height Hopping

    In: 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2023), October 1-5, Detroit, MI, USA, Pages 7531-7538, ISBN 978-1-6654-9190-7, IEEE Robotics and Automation Society, 10/2023.

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