Search Results - "Hammer, Barbara"

The Continuous Hint Factory--Providing Hints in Vast and Sparsely Populated Edit Distance Spaces

Authors: Paassen, Benjamin Hammer, Barbara Price, Thomas William et al.

Source: Journal of Educational Data Mining. Jun 2018 10(1):1-35.

Peer Reviewed: Y

Page Count: 35

Sponsoring Agency: National Science Foundation (NSF)

Descriptors: Intelligent Tutoring Systems, Cues, Educational Technology, Technology Uses in Education, Inferences, Data Collection, Prediction, Programming, Graphs, Access to Information, Computer Science, Foreign Countries, College Students

Geographic Terms: Germany

Execution Traces as a Powerful Data Representation for Intelligent Tutoring Systems for Programming

Authors: Paaßen, Benjamin Jensen, Joris Hammer, Barbara

Source: International Educational Data Mining Society. 2016.

Peer Reviewed: Y

Page Count: 8

Descriptors: Intelligent Tutoring Systems, Programming, Computer Science Education, Data, Coding, Classification

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

Authors: Fumagalli, Fabian Muschalik, Maximilian Hüllermeier, Eyke et al.

Source: Machine Learning; Dec2023, Vol. 112 Issue 12, p4863-4903, 41p

Interpretable SAM-kNN Regressor for Incremental Learning on High-Dimensional Data Streams.

Authors: Jakob, Jonathan Artelt, André Hasenjäger, Martina et al.

Source: Applied Artificial Intelligence; 2023, Vol. 37 Issue 1, p1-30, 30p

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Unsafe at any (wind) speed? Testing the stability of motor vehicles in severe winds.

Authors: Schmidlin, Thomas Hammer, Barbara King, Paul

Source: Bulletin of the American Meteorological Society; December 2002, Vol. 83 Issue 12, p1821-1830, 10p

Novel transfer learning schemes based on Siamese networks and synthetic data.

Authors: Kenneweg, Philip Stallmann, Dominik Hammer, Barbara

Source: Neural Computing & Applications; Apr2023, Vol. 35 Issue 11, p8423-8436, 14p

Unsupervised Cyclic Siamese Networks Automating Cell Imagery Analysis.

Authors: Stallmann, Dominik Hammer, Barbara

Source: Algorithms. Apr2023, Vol. 16 Issue 4, p205. 22p.

Development of a digital twin for data-driven modeling of punch-bending processes using a graphical modeling notation.

Authors: Peters, Henning Mazur, Andreas Pandey, Ankit Kumar et al.

Source: Automatisierungstechnik; Mar2025, Vol. 73 Issue 3, p173-184, 12p

Learning in federated and dynamic environments: A tutorial on challenges, trends, and practical strategies.

Authors: Polato, Mirko Hammer, Barbara Röder, Manuel et al.

Source: Neurocomputing. Apr2026, Vol. 672, pN.PAG-N.PAG. 1p.

Subjects: Federated learning, Heterogeneity, Resource allocation, Metadata, Artificial intelligence, Game theory, Security management

Time integration and reject options for probabilistic output of pairwise LVQ.

Authors: Brinkrolf, Johannes Hammer, Barbara

Source: Neural Computing & Applications; 2020, Vol. 32 Issue 24, p18009-18022, 14p

Fairness-enhancing classification methods for non-binary sensitive features—How to fairly detect leakages in water distribution systems.

Authors: Strotherm, Janine Ashraf, Inaam Hammer, Barbara

Source: PeerJ Computer Science; Sep2024, p1-41, 41p

Fourier neural operators as data-driven surrogates for two- and three-dimensional Rayleigh–bénard convection.

Authors: Markmann, Thorben Straat, Michiel Peitz, Sebastian et al.

Source: Neurocomputing; May2026, Vol. 679, pN.PAG-N.PAG, 1p

A practical guide to streaming continual learning.

Authors: Cossu, Andrea Giannini, Federico Ziffer, Giacomo et al.

Source: Neurocomputing; Apr2026, Vol. 674, pN.PAG-N.PAG, 1p

HMO Risk Contracts--A 'No Cost' Way to Manage Retiree Health Care Costs?

Authors: Hammer, Barbara F.

Source: CUPA Journal. Spr 1995 46(1):25-28.

Peer Reviewed: Y

Page Count: 4

Descriptors: College Administration, Contracts, Costs, Eligibility, Health Insurance, Health Services, Higher Education, Personnel Management, Program Administration, Retirement, Risk, School Personnel

A Water Futures Approach on Water Demand Forecasting with Online Ensemble Learning †.

Authors: Zanutto, Dennis Michalopoulos, Christos Chatzistefanou, Georgios-Alexandros et al.

Source: Engineering Proceedings; 2024, Vol. 69 Issue 1, p60, 5p

The effect of data poisoning on counterfactual explanations.

Authors: Artelt, André Sharma, Shubham Lecué, Freddy et al.

Source: Information Fusion; Aug2026, Vol. 132, pN.PAG-N.PAG, 1p

Evaluating automatic label noise detection in 3D segmentation with realistic label noise.

Authors: Mazur, Andreas Roberts, Isaac Leins, David P. et al.

Source: Neurocomputing; Jul2026, Vol. 684, pN.PAG-N.PAG, 1p

In utero exposure to cigarette smoke and effects across generations: A conference of animals on asthma.

Authors: Hammer, Barbara Wagner, Christina Divac Rankov, Aleksandra et al.

Source: Clinical & Experimental Allergy. Nov2018, Vol. 48 Issue 11, p1378-1390. 13p. 3 Diagrams, 1 Chart.

Contrasting Explanations for Understanding and Regularizing Model Adaptations.

Authors: Artelt, André Hinder, Fabian Vaquet, Valerie et al.

Source: Neural Processing Letters; Oct2023, Vol. 55 Issue 5, p5273-5297, 25p