Barbara Hammer

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

• The effect of data poisoning on counterfactual explanations (2026)

  Authors: André Artelt, Shubham Sharma, Freddy Lecué, Barbara Hammer

  Published at: Information Fusion (Volume: 132)
  DOI: 10.1016/j.inffus.2026.104237

• Evaluating automatic label noise detection in 3D segmentation with realistic label noise (2026)

  Authors: Andreas Mazur, Isaac Roberts, David P. Leins, Alexander Schulz, Barbara Hammer

  Published at: Neurocomputing (Volume: 684)
  DOI: 10.1016/j.neucom.2026.133587

• Fourier neural operators as data-driven surrogates for two- and three-dimensional Rayleigh–bénard convection (2026)

  Authors: Thorben Markmann, Michiel Straat, Sebastian Peitz, Barbara Hammer

  Published at: Neurocomputing (Volume: 679)
  DOI: 10.1016/j.neucom.2026.133201

• A practical guide to streaming continual learning (2026)

  Authors: Andrea Cossu, Federico Giannini, Giacomo Ziffer, Alessio Bernardo, Alexander Gepperth, Emanuele Della Valle, Barbara Hammer, Davide Bacciu

  Published at: Neurocomputing (Volume: 674)
  DOI: 10.1016/j.neucom.2026.132951

• Learning in federated and dynamic environments: A tutorial on challenges, trends, and practical strategies (2026)

  Authors: Mirko Polato, Barbara Hammer, Manuel Röder, Frank-Michael Schleif

  Published at: Neurocomputing (Volume: 672)
  DOI: 10.1016/j.neucom.2026.132671

• Interpretable event diagnosis in water distribution networks (2026)

  Authors: André Artelt, Stelios G. Vrachimis, Demetrios G. Eliades, Ulrike Kuhl, Barbara Hammer, Marios M. Polycarpou

  Published at: Intelligent Systems with Applications (Volume: 29)
  DOI: 10.1016/j.iswa.2025.200621

• Uncertainty-Aware Remaining Lifespan Prediction from Images (2026)

  Authors: Tristan Kenneweg, Philip Kenneweg, Barbara Hammer

  Published at: Lecture Notes in Computer Science (Volume: 16397 LNCS)
  DOI: 10.1007/978-3-032-14495-9_34

• Continuous Fair SMOTE – Fairness-Aware Stream Learning from Imbalanced Data (2026)

  Authors: Kathrin Lammers, Valerie Vaquet, Barbara Hammer

  Published at: Lecture Notes in Computer Science (Volume: 16068 LNCS)
  DOI: 10.1007/978-3-032-04558-4_27

• Realistic Benchmarks for Fair Stream Learning (2026)

  Authors: Kathrin Lammers, Valerie Vaquet, Jonas Vaquet, Barbara Hammer

  Published at: Communications in Computer and Information Science (Volume: 2755 CCIS)
  DOI: 10.1007/978-981-95-4094-5_12

• Causal Explanation of Concept Drift – A Truly Actionable Approach (2026)

  Authors: David Komnick, Kathrin Lammers, Barbara Hammer, Valerie Vaquet, Fabian Hinder

  Published at: Communications in Computer and Information Science (Volume: 2842 CCIS)
  DOI: 10.1007/978-3-032-19105-2_28