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Publications

Displaying results 321 to 330 of 14520.

  1. Fabrizio Riguzzi; Kristian Kersting; Marco Lippi; Sriraam Natarajan

    Editorial: Statistical Relational Artificial Intelligence

    In: Frontiers in Robotics and AI, Vol. 6, Pages 0-10, Frontiers, 2019.

  2. Andrea Galassi; Kristian Kersting; Marco Lippi; Xiaoting Shao; Paolo Torroni

    Neural-Symbolic Argumentation Mining: An Argument in Favor of Deep Learning and Reasoning

    In: Frontiers in Big Data, Vol. 2 - 2019, Pages 0-10, Frontiers, 1/2020.

  3. Nils M. Kriege; Marion Neumann; Christopher Morris; Kristian Kersting; Petra Mutzel

    A unifying view of explicit and implicit feature maps of graph kernels

    In: Data Mining and Knowledge Discovery, Vol. 33, No. 6, Pages 1505-1547, Springer, 2019.

  4. Laura Antanas; Plinio Moreno; Marion Neumann; Rui Pimentel de Figueiredo; Kristian Kersting; José Santos-Victor; Luc De Raedt

    Semantic and geometric reasoning for robotic grasping: a probabilistic logic approach

    In: Autonomous Robots, Vol. 43, No. 6, Pages 1393-1418, Springer, 2019.

  5. Kristian Kersting; Miryung Kim; Guy Van den Broeck; Thomas Zimmermann

    SE4ML - Software Engineering for AI-ML-based Systems (Dagstuhl Seminar 20091)

    In: Dagstuhl Reports, Vol. 10, No. 2, Pages 76-87, Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik, 2020.

  6. Johannes Czech; Patrick Korus; Kristian Kersting

    Monte-Carlo Graph Search for AlphaZero

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2012.11045, Pages 0-10, arXiv, 2020.

  7. Christopher Morris; Nils M. Kriege; Franka Bause; Kristian Kersting; Petra Mutzel; Marion Neumann

    TUDataset: A collection of benchmark datasets for learning with graphs

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2007.08663, Pages 0-10, arXiv, 2020.

  8. Srijita Das; Sriraam Natarajan; Kaushik Roy; Ronald Parr; Kristian Kersting

    Fitted Q-Learning for Relational Domains

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2006.05595, Pages 0-10, arXiv, 2020.

  9. Sofija Engelson; Yannic Elser; Malte Maria Sieren; Jan Ehrhardt; Julia Andresen; Stefanie Schierholz; Tobias Keck; Daniel Drömann; Jörg Barkhausen; Heinz Handels

    Deep learning-based mediastinal lymph node assessment on PET/CT images without pixel-level annotations

    In: Journal of Medical Imaging (JMI), Vol. 13, No. 1, Pages 1-18, SPIE, 2/2026.

  10. Sofija Engelson; Jan Ehrhardt; Heinz Handels

    Finetuning medical vision‑language models for interpretable and fine‑grained disease classification

    In: Medical Imaging 2026: Computer-Aided Diagnosis. SPIE Medical Imaging (SPIE-2026), February 15-19, Vancouver, British Columbia, Canada, SPIE, 2/2026.

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