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Publications

Displaying results 271 to 280 of 681.
  1. Context-Aware Robotic Assistance for Workers Using Intention Recognition and Semantic Digital Twin

    In: Dhananjay Singh; Jan-Willem van 't Klooster; Uma Shanker Tiwary (Hrsg.). Intelligent Human Computer Interaction. IADIS International Conference on Interfaces and Human Computer Interaction (IHCI-2024), May 29, Cham, Pages 92-104, ISBN 978-3-031-88705-5, Springer Nature Switzerland, 5/2025.

  2. Bayesian Inverse Physics for Neuro-Symbolic Robot Learning

    In: Leilani Gilpin; Eleonora Giunchiglia; Pascal Hitzler; Emile van Krieken (Hrsg.). Neurosymbolic Artificial Intelligence, Pages 1-19, IOS Press, 2025.

  3. Aliki Anagnostopoulou; Sara-Jane Bittner; Lavanya Govindaraju; Hasan Md Tusfiqur Alam; Daniel Sonntag

    Personalised and Contextualised Image Captioning: Human-in-the-Loop Design and Evaluation

    In: Mensch und Computer 2025 - Workshopband. Mensch und Computer (MuC-2025), MCI-WS04: ABIS 2025 - International Workshop on Personalization and Recommendation, August 31 - September 3, Chemnitz, Germany, Gesellschaft für Informatik e.V. 2025.

  4. Aliki Anagnostopoulou; Sara-Jane Bittner; Lavanya Govindaraju; Hasan Md Tusfiqur Alam; Daniel Sonntag

    CUTIE: A human-in-the-loop interface for the generation of personalised and contextualised image captions

    In: Mensch und Computer 2025 - Workshopband. Mensch und Computer (MuC-2025), MCI-WS04: ABIS 2025 - International Workshop on Personalization and Recommendation, August 31 - September 3, Chemnitz, Germany, Gesellschaft für Informatik e.V. 9/2025.

  5. DP-DocLDM: Differentially Private Document Image Generation Using Latent Diffusion Models

    In: XC. Yin (Hrsg.). ICDAR 2025. International Conference on Document Analysis and Recognition (ICDAR-2025), Springer Nature, 2025.

  6. 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.

  7. 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.

  8. 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.

  9. 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.