Hammer, Barbara

Incremental on-line learning: A review and comparison of state of the art algorithms

Losing, V., Hammer, B., & Wersing, H. (2018) · Neurocomputing

Data Stream Mining TechniquesMachine Learning and ELM

Cited by 382

On the approximation capability of recurrent neural networks

Hammer, B. (2000) · Neurocomputing

Neural Networks and ApplicationsComputability, Logic, AI Algorithms

Cited by 132

Trust, distrust, and appropriate reliance in (X)AI: A conceptual clarification of user trust and survey of its empirical evaluation

Visser, R., Peters, T. M., Scharlau, I., & Hammer, B. (2025) · Cognitive Systems Research

Explainable Artificial Intelligence (XAI)Human-Automation Interaction and Safety

Cited by 58

Universal Approximation Capability of Cascade Correlation for Structures

Hammer, B., Micheli, A., & Sperduti, A. (2005) · Neural Computation

Neural Networks and ApplicationsMachine Learning and ELM

Cited by 51

One-Class Intrusion Detection with Dynamic Graphs

Liuliakov, A., Schulz, A., Hermes, L., & Hammer, B. (2023) · Lecture Notes in Computer Science

Network Security and Intrusion DetectionAdversarial Robustness in Machine Learning

Cited by 5