Barbara Hammer

Barbara Hammer
Institution: Bielefeld University
Department: Machine Learning Group
Position: Head of the Hammer Lab

Sustainable AI, Hybrid Systems, Computational Learning Theory, Applications for Critical Infrastructure

Incremental learning and learning with drift, learning from limited data set, learning with label noise or few labels, reliability of learning, efficient deep learning, fairness of ML; explainable ML, readability of learning, learning with structured data, prototype-based models, graph neural networks, recurrent and recursive models; biomedical applications

  • Incremental permutation feature importance (iPFI): towards online explanations on data streams (2023)

    Authors: Fabian Fumagalli, Maximilian Muschalik, Eyke Hüllermeier, Barbara Hammer

    Published at: Machine Learning (Volume: 112)
    DOI: 10.1007/s10994-023-06385-y

  • “I do not know! but why?” — Local model-agnostic example-based explanations of reject (2023)

    Authors: André Artelt, Roel Visser, Barbara Hammer

    Published at: Neurocomputing (Volume: 558)
    DOI: 10.1016/j.neucom.2023.126722

  • Model-based explanations of concept drift (2023)

    Authors: Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer

    Published at: Neurocomputing (Volume: 555)
    DOI: 10.1016/j.neucom.2023.126640

  • Behavioral Economics and Neuroeconomics of Environmental Values (2023)

    Authors: Phoebe Koundouri, Barbara Hammer, Ulrike Kuhl, Alina Velias

    Published at: Annual Review of Resource Economics (Volume: 15)
    DOI: 10.1146/annurev-resource-101722-082743

  • Contrasting Explanations for Understanding and Regularizing Model Adaptations (2023)

    Authors: André Artelt, Fabian Hinder, Valerie Vaquet, Robert Feldhans, Barbara Hammer

    Published at: Neural Processing Letters (Volume: 55)
    DOI: 10.1007/s11063-022-10826-5

  • Metric Learning with Self-Adjusting Memory for Explaining Feature Drift (2023)

    Authors: Johannes Kummert, Alexander Schulz, Barbara Hammer

    Published at: SN Computer Science (Volume: 4)
    DOI: 10.1007/s42979-023-01782-5

  • Unsupervised Cyclic Siamese Networks Automating Cell Imagery Analysis (2023)

    Authors: Dominik Stallmann, Barbara Hammer

    Published at: Algorithms (Volume: 16)
    DOI: 10.3390/a16040205

  • Novel transfer learning schemes based on Siamese networks and synthetic data (2023)

    Authors: Philip Kenneweg, Dominik Stallmann, Barbara Hammer

    Published at: Neural Computing and Applications (Volume: 35)
    DOI: 10.1007/s00521-022-08115-2

  • iPDP: On Partial Dependence Plots in Dynamic Modeling Scenarios (2023)

    Authors: Maximilian Muschalik, Fabian Fumagalli, Rohit Jagtani, Barbara Hammer, Eyke Hüllermeier

    Published at: Communications in Computer and Information Science (Volume: 1901 CCIS)
    DOI: 10.1007/978-3-031-44064-9_11

  • For Better or Worse: The Impact of Counterfactual Explanations’ Directionality on User Behavior in xAI (2023)

    Authors: Ulrike Kuhl, André Artelt, Barbara Hammer

    Published at: Communications in Computer and Information Science (Volume: 1903 CCIS)
    DOI: 10.1007/978-3-031-44070-0_14