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Publications

Displaying results 381 to 390 of 661.
  1. Lukas Helff; Wolfgang Stammer; Hikaru Shindo; Devendra Singh Dhami; Kristian Kersting

    V-LoL: A Diagnostic Dataset for Visual Logical Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2306.07743, Pages 0-10, arXiv, 2023.

  2. Steven Braun; Martin Mundt; Kristian Kersting

    Deep Classifier Mimicry without Data Access

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2306.02090, Pages 0-10, arXiv, 2023.

  3. Sahil Sidheekh; Kristian Kersting; Sriraam Natarajan

    Probabilistic Flow Circuits: Towards Unified Deep Models for Tractable Probabilistic Inference

    In: Robin J. Evans; Ilya Shpitser (Hrsg.). Uncertainty in Artificial Intelligence. Conference in Uncertainty in Artificial Intelligence (UAI), July 31 - August 4, Pittsburgh, PA, USA, Pages 1964-1973, Proceedings of Machine Learning Research, Vol. 216, PMLR, 2023.

  4. Hikaru Shindo; Viktor Pfanschilling; Devendra Singh Dhami; Kristian Kersting

    (alpha)ILP: thinking visual scenes as differentiable logic programs

    In: Machine Learning, Vol. 112, No. 5, Pages 1465-1497, Springer, 2023.

  5. Mohamed Selim; Stephan Krauß; Tewodros Amberbir Habtegebrial; Alain Pagani; Didier Stricker

    Deep Orientation-Guided Gender Recognition from Face Images

    In: Proceedings of the 12th International Conference on Pattern Recognition Systems. International Conference on Pattern Recognition Systems (ICPRS-22), June 7-10, Saint-Étienne, France, IEEE, 2022.

  6. Muhammad Nabeel Asim; Muhammad Ali Ibrahim; Christoph Zehe; Olivier Cloarec; Rickard Sjogren; Johan Trygg; Andreas Dengel; Sheraz Ahmed

    L2S-MirLoc: A Lightweight Two Stage MiRNA Sub-Cellular Localization Prediction Framework

    In: IJCNN 2021 Conference Proceedings. International Joint Conference on Neural Networks (IJCNN-2021), July 18-22, ISBN 978-0-7381-3366-9, IEEE, 2021.

  7. Enhancer-DSNet: A Supervisedly Prepared Enriched Sequence Representation for the Identification of Enhancers and Their Strength

    In: International Conference on Neural Information Processing. International Conference on Neural Information Processing (ICONIP-2020), Springer, 2020.

  8. Benchmarking performance of machine and deep learning-based methodologies for Urdu text document classification

    In: Neural Computing and Applications, Vol. 33, Pages 5437-5469, Springer, 9/2020.

  9. CircNet: An encoder–decoder-based convolution neural network (CNN) for circular RNA identification

    In: Neural Computing and Applications, Vol. 34, Pages 11441-11452, Springer, London, 1/2021.