Items where Research Area is "Data Mining and Machine Learning" and Year is 2025

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Number of items: 13.

Journal Paper

  • Maximally Expressive GNNs for Outerplanar Graphs
    Bause, Franka and Jogl, Fabian and Indri, Patrick and Drucks, Tamara and Penz, David and Kriege, Nils M. and Gärtner, Thomas and Welke, Pascal and Thiessen, Maximilian ISSN 2835-8856 TMLR (2025)

  • Helpful assistant or fruitful facilitator? Investigating how personas affect language model behavior
    Luz de Araujo, Pedro Henrique and Roth, Benjamin PLOS ONE, 20 (6). pp. 1-31 ISSN 1932-6203 Public Library of Science (2025)

  • Multiscale Granger dependencies in the precipitation network of the island of Sicily
    Pecorino, Vera and Pluchino, Allesandro and Rapisarda, Andrea and Hlavackova-Schindler, Katerina ISSN 2296-424X frontiersin.org (2025)

  • Information that matters: Exploring information needs of people affected by algorithmic decisions
    Schmude, Timothée and Koesten, Laura and Möller, Torsten and Tschiatschek, Sebastian Int. J. Hum. Comput. Stud., 193. p. 103380 ISSN 1071-5819 International Journal of Human-Computer Studies (2025)

  • Minimum Description Length and Multi-Criteria Decision Analysis in Predictive Modeling
    Silhavy, Petr and Hlavackova-Schindler, Katerina and Silhavy, Radek pp. 19388-19407 ISSN 2169-3536 IEEE Access (2025)

    • Paper in Conference Proceedings or in Workshop Proceedings

  • On the Relationship Between Robustness and Expressivity of Graph Neural Networks
    Kummer, Lorenz and Gansterer, Wilfried and Kriege, Nils M. In: The 28th International Conference on Artificial Intelligence and Statistics (AISTATS) , 03.05.-05.05.2025 , Mai Khao, Thailand (2025)

  • Crossfire: An Elastic Defense Framework for Graph Neural Networks Under Bit Flip Attacks
    Kummer, Lorenz and Moustafa, Samir and Gansterer, Wilfried and Kriege, Nils M. In: The 39th Annual AAAI Conference on Artificial Intelligence , 25.02.-04.03.2025 , Philadelphia, USA (2025)

  • Efficient Mixed Precision Quantization in Graph Neural Networks
    Moustafa, Samir and Kriege, Nils M. and Gansterer, Wilfried In: 41st IEEE International Conference on Data Engineering , May 19 – 23, 2025 , Hong Kong SAR, China (2025)

  • Visualization and Analysis of the Loss Landscape in Graph Neural Networks
    Moustafa, Samir and Kummer, Lorenz and Fetzel, Simon and Kriege, Nils M. and Gansterer, Wilfried In: 34th International Conference on Artificial Neural Networks (ICANN 2025) , September 9 to September 12, 2025 , Campus of Vytautas Magnus University and Lithuanian University of Health Sciences, Kaunas, Lithuania (2025)

  • On Constant Regret for Low-Rank MDPs
    Sturm, Alexander and Tschiatschek, Sebastian In: The Conference on Uncertainty in Artificial Intelligence (UAI) , 21.07.-25.07.2025 , Rio de Janeiro, Brazil (2025)

    • Book Section/Chapter

  • Chemical Similarity and Substructure Searches
    Kriege, Nils M. and Seidel, Thomas and Humbeck, Lina and Lessel, Uta In: Encyclopedia of Bioinformatics and Computational Biology. Elsevier Inc., pp. 707-719 ISBN 978-0-323-95503-4 (2025)

    • Technical Report

  • Cause or Trigger? From Philosophy to Causal Modeling
    Hlavackova-Schindler, Katerina and Wöß, Rainer and Pecorino, Vera and Schindler, Philip Working Paper. UNSPECIFIED (2025)

  • Motif Discovery Framework for Psychiatric EEG Data Classification
    Kraljevska, Melanija and Hlavackova-Schindler, Katerina and Miklautz, Lukas and Plant, Claudia Working Paper. arXiv:2501.04441 (2025)

    • This list was generated on Tue Jul 22 21:21:53 2025 CEST.
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