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Publications

Displaying results 41 to 50 of 676.
  1. David Solans; Christopher Tauchmann; Aideen Farrell; Karolin Kappler; Hans-Hendrik Huber; Carlos Castillo; Kristian Kersting

    Learning to Classify Morals and Conventions: Artificial Intelligence in Terms of the Economics of Convention

    In: Ceren Budak; Meeyoung Cha; Daniele Quercia; Lexing Xie (Hrsg.). Proceedings of the Fifteenth International AAAI Conference on Web and Social …

  2. Zhongjie Yu; Fabrizio Ventola; Kristian Kersting

    Whittle Networks: A Deep Likelihood Model for Time Series

    In: Marina Meila; Tong Zhang (Hrsg.). Proceedings of the 38th International Conference on Machine Learning. International Conference on Machine …

  3. Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting With Their Explanations

    In: IEEE Conference on Computer Vision and Pattern Recognition. International Conference on Computer Vision and Pattern Recognition (CVPR-2021), June …

  4. Moritz Willig; Matej Zecevic; Devendra Singh Dhami; Kristian Kersting

    The Causal Loss: Driving Correlation to Imply Causation

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2110.12066, Pages 0-10, arXiv, 2021.

  5. Matej Zecevic; Devendra Singh Dhami; Kristian Kersting

    On the Tractability of Neural Causal Inference

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2110.12052, Pages 0-10, arXiv, 2021.

  6. Xiaoting Shao; Arseny Skryagin; Wolfgang Stammer; Patrick Schramowski; Kristian Kersting

    Right for Better Reasons: Training Differentiable Models by Constraining their Influence Functions

    In: Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021. AAAI Conference on Artificial Intelligence (AAAI-2021), Pages 9533-9540, AAAI …

  7. Sophie Burkhardt; Jannis Brugger; Nicolas Wagner; Zahra Ahmadi; Kristian Kersting; Stefan Kramer

    Rule Extraction From Binary Neural Networks With Convolutional Rules for Model Validation

    In: Frontiers in Artificial Intelligence, Vol. 4, Pages 0-10, Frontiers, 2021.

  8. 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.

  9. Advances in Computational Methodologies for Classification and Sub-Cellular Locality Prediction of Non-Coding RNAs

    In: International Journal of Molecular Sciences (IJMS), Vol. 22, No. 8719, Pages 1-42, MDPI, 8/2021.

  10. Paul Strenge; Birgit Lange; Christin Grill; Wolfgang Draxinger; Veit Danicke; Dirk Theisen-Kunde; Heinz Handels; Matteo Mario Bonsanto; Christian Hagel; Robert Huber; others

    Comparison of two optical coherence tomography systems to identify human brain tumor

    In: Proceedings Volume 11924, Optical Coherence Imaging Techniques and Imaging in Scattering Media IV. European Conferences on Biomedical Optics …