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

• 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

• Go with the Flow: Leveraging Physics-Informed Gradients to Solve Real-World Problems in Water Distribution Systems (2026)

  Authors: Inaam Ashraf, Janine Strotherm, Luca Hermes, Barbara Hammer

  Published at: Lecture Notes in Computer Science (Volume: 16022)
  DOI: 10.1007/978-3-032-06129-4_3

• Studying the Generalization Behavior of Surrogate Models for Punch-Bending by Generating Plausible Counterfactuals (2026)

  Authors: Andreas Mazur, Henning Peters, André Artelt, Lukas Koller, Christoph Hartmann, Ansgar Trächtler, Barbara Hammer

  Published at: Lecture Notes in Computer Science (Volume: 16071 LNCS)
  DOI: 10.1007/978-3-032-04555-3_16

• The reliability of remote photoplethysmography under low illumination and elevated heart rates (2025)

  Authors: Bhargav Acharya, William Saakyan, Barbara Hammer, Hanna Drimalla

  Published at: Npj Digital Medicine (Volume: 8)
  DOI: 10.1038/s41746-025-02192-y