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Publications

Displaying results 201 to 210 of 579.
  1. Principles of Object Tracking and Mapping

    In: Andrew Yeh Ching Nee; Soh Khim Ong. Springer Handbook of Augmented Reality. Pages 53-84, Springer Handbooks, ISBN 978-3-030-67821-0, Springer, Switzerland, 1/2023.

  2. Stefan Bloemheuvel; Jurgen van den Hoogen; Dario Jozinovic; Alberto Michelini; Martin Atzmueller

    Rapid prediction of ground shaking intensity with Graph Neural Networks

    In: Proceedings of the Third European Conference on Earthquake Engineering and Seismology -- 3ECEES. European Conference on Earthquake Engineering and Seismology (3ECEES-2022), PUBLISHING Conspress & editors, 2022.

  3. Ammar Memari; Van Coung Dam; Lars Nolle

    Deep Learning for Detecting Tilt Angle and Orientation of Photovoltaic Panels on Satellite Imagery

    In: Artificial Intelligence XXXIX - 42nd SGAI International Conference on Artificial Intelligence, AI 2022 - Proceedings. SGAI International Conference on Artificial Intelligence (AI-2022), December 13-15, Cambridge, United Kingdom, Lecture Notes in Artificial Intelligence (LNAI), Vol. 13652, Springer Nature Switzerland AG, Cham, 12/2022.

  4. Ahmed Abadulla Ashlam; Atta Badii; Frederic Theodor Stahl

    Multi-Phase Algorithmic Framework to Prevent SQL Injection Attacks using Improved Machine learning and Deep learning to Enhance Database security in Real-time

    In: 2022 15th International Conference on Security of Information and Networks (SIN). International Conference on Security of Information and Networks (SIN-2022), November 11-13, Sousse, Tunisia, Pages 1-4, IEEE Xplore, Piscataway Township, New Jersey, 12/2022.

  5. Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advances

    In: IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Pages 1-21, IEEE, 2/2023.

  6. Michael Benedikt; Kristian Kersting; Phokion G. Kolaitis; Daniel Neider

    Logic and Learning (Dagstuhl Seminar 19361)

    In: Dagstuhl Reports, Vol. 9, No. 9, Pages 1-22, Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik, 2019.

  7. Antonio Vergari; Robert Peharz; Nicola Di Mauro; Alejandro Molina; Kristian Kersting; Floriana Esposito

    Sum-Product Autoencoding: Encoding and Decoding Representations Using Sum-Product Networks

    In: Sheila A. McIlraith; Kilian Q. Weinberger (Hrsg.). Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence (AAAI-18), Pages 4163-4170, AAAI Press, 2018.

  8. Alejandro Molina; Antonio Vergari; Nicola Di Mauro; Sriraam Natarajan; Floriana Esposito; Kristian Kersting

    Mixed Sum-Product Networks: A Deep Architecture for Hybrid Domains

    In: Sheila A. McIlraith; Kilian Q. Weinberger (Hrsg.). Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence (AAAI-18), Pages 3828-3835, AAAI Press, 2018.

  9. Robert Peharz; Antonio Vergari; Karl Stelzner; Alejandro Molina; Martin Trapp; Kristian Kersting; Zoubin Ghahramani

    Probabilistic Deep Learning using Random Sum-Product Networks

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1806.01910, Pages 0-10, arXiv, 2018.