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

• Advances in artificial neural networks, machine learning and computational intelligence (2026)

  Authors: Nicolò Navarin, Barbara Hammer, Luca Oneto

  Published at: Neurocomputing (Volume: 700)
  DOI: 10.1016/j.neucom.2026.134511

• Analysis of Search Heuristics in the Multi-Armed Bandit Setting (2026)

  Authors: Jasmin Brandt, Barbara Hammer, Timo Kötzing, Jurek Sander

  Published at: Gecco 2026 Companion Proceedings of the 2026 Genetic and Evolutionary Computation Conference
  DOI: 10.1145/3795101.3805359

• 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

• Pruning Federated Models Through Loss Landscape Analysis and Client Agreement Scoring (2026)

  Authors: Christian Interno, Elena Raponi, Markus Olhofer, Ali Raza, Thomas Back, Niki Van Stein, Yaochu Jin, Barbara Hammer

  Published at: IEEE Internet of Things Journal (Volume: 13)
  DOI: 10.1109/JIOT.2026.3686028

• 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