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Publications

Displaying results 1071 to 1080 of 15024.

  1. René Pallenberg; Marja Fleitmann; Andreas Martin Stroth; Jan Gerlach; Alexander Fürschke; Jörg Barkhausen; Arpad Bischof; Heinz Handels

    Random Forest and Gradient Boosted Trees for Patient Individualized Contrast Agent Dose Reduction in CT Angiography

    In: Studies in health technology and informatics, Vol. 302, Pages 952-956, IOS Press, 5/2023.

  2. Alexandra I. Korda; Christina Andreou; Mihai Avram; M. Frisman; M. Aliqadri; A. Riecher-Rössler; Heinz Handels; Thomas Martinetz; Stefan Borgwardt

    Chaos analysis of the cortical boundary for the recognition of psychosis

    In: Journal of Psychiatry and Neuroscience (JPN), Vol. 48, No. 2, Pages E135-E142, Canadian Science Publishing, 4/2023.

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

    Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning

    In: Amir Globerson; Ricardo Silva (Hrsg.). Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence. Conference in Uncertainty in Artificial Intelligence (UAI-2019), July 22-25, Tel Aviv, Israel, Pages 334-344, Proceedings of Machine Learning Research, Vol. 115, AUAI Press, 2019.

  4. Claas Völcker; Alejandro Molina; Johannes Neumann; Dirk Westermann; Kristian Kersting

    DeepNotebooks: Deep Probabilistic Models Construct Python Notebooks for Reporting Datasets

    In: Peggy Cellier; Kurt Driessens (Hrsg.). Machine Learning and Knowledge Discovery in Databases. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD-2019), International Workshops of ECML PKDD 2019, Proceedings, Part I, September 16-20, Würzburg, Germany, Pages 28-43, Communications in Computer and Information Science, Vol. 1167, Springer, 2019.

  5. Navdeep Kaur; Gautam Kunapuli; Saket Joshi; Kristian Kersting; Sriraam Natarajan

    Neural Networks for Relational Data

    In: Dimitar Kazakov; Can Erten (Hrsg.). Inductive Logic Programming - 29th International Conference, Proceedings. International Conference on Inductive Logic Programming (ILP-2019), September 3-5, Plovdiv, Bulgaria, Pages 62-71, Lecture Notes in Computer Science (LNAI), Vol. 11770, Springer, 2019.

  6. Karl Stelzner; Robert Peharz; Kristian Kersting

    Faster Attend-Infer-Repeat with Tractable Probabilistic Models

    In: Kamalika Chaudhuri; Ruslan Salakhutdinov (Hrsg.). Proceedings of the 36th International Conference on Machine Learning. International Conference on Machine Learning (ICML-2019), June 9-15, Long Beach, California, USA, Pages 5966-5975, Proceedings of Machine Learning Research, Vol. 97, PMLR, 2019.

  7. Lukas Weber; Lukas Sommer; Julian Oppermann; Alejandro Molina; Kristian Kersting; Andreas Koch

    Resource-Efficient Logarithmic Number Scale Arithmetic for SPN Inference on FPGAs

    In: International Conference on Field-Programmable Technology. International Conference on Field Programmable Technology (FPT-2019), December 9-13, Tianjin, China, Pages 251-254, IEEE, 2019.

  8. Sophie F. Jentzsch; Patrick Schramowski; Constantin A. Rothkopf; Kristian Kersting

    Semantics Derived Automatically from Language Corpora Contain Human-like Moral Choices

    In: Vincent Conitzer; Gillian K. Hadfield; Shannon Vallor (Hrsg.). Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society. AAAI Conference on Artificial Intelligence (AAAI-2019), January 27-28, Honolulu, HI, USA, Pages 37-44, ACM, 2019.

  9. Mayukh Das; Devendra Singh Dhami; Gautam Kunapuli; Kristian Kersting; Sriraam Natarajan

    Fast Relational Probabilistic Inference and Learning: Approximate Counting via Hypergraphs

    In: The Thirty-Third AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence (AAAI-2019), Pages 7816-7824, AAAI Press, 2019.

  10. Antonio Vergari; Alejandro Molina; Robert Peharz; Zoubin Ghahramani; Kristian Kersting; Isabel Valera

    Automatic Bayesian Density Analysis

    In: The Thirty-Third AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence (AAAI-2019), Pages 5207-5215, AAAI Press, 2019.

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