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

• Theoretical Framework for Distance Metrics in k-Nearest Neighbor Imputation (2027)

  Authors: Tim Kochs, Andrea Castellani, Barbara Hammer

  Published at: Lecture Notes in Computer Science (Volume: 17089 LNCS)
  DOI: 10.1007/978-3-032-38398-3_38

• Interval Estimation in Water Distribution Systems Using Physics-Informed Graph Neural Networks (2027)

  Authors: Inaam Ashraf, André Artelt, David P. Leins, Barbara Hammer

  Published at: Lecture Notes in Computer Science (Volume: 16949 LNCS)
  DOI: 10.1007/978-3-032-37682-4_13

• First AI for Drinking Water Chlorination Challenge (2026)

  Authors: André Artelt, Luca Hermes, Janine Strotherm, Barbara Hammer, Stelios G. Vrachimis, Marios S. Kyriakou, Demetrios G. Eliades, Marios M. Polycarpou, Sotirios Paraskevopoulos, Stefanos Vrochidis, Riccardo Taormina, Dragan Savic, Phoebe Koundouri

  Published at: Journal of Water Resources Planning and Management (Volume: 152)
  DOI: 10.1061/JWRMD5.WRENG-7562

• 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

• 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 LNCS)
  DOI: 10.1007/978-3-032-06129-4_3

• 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