KNN Classifier with Self Adjusting Memory for Heterogeneous Concept Drift
Losing, Viktor ; Hammer, Barbara ; Wersing, Heiko2016Learning Feedback in Intelligent Tutoring Systems
Gross, Sebastian ; Mokbel, Bassam ; Hammer, Barbara ; Pinkwart, NielsIn: KI - Künstliche Intelligenz, Jg. 29 H. 4, S. 1-62015Learning Vector Quantization: generalization ability and dynamics of competing prototypes
Witoelar, Aree ; Biehl, Michael ; Hammer, Barbara2007Metric learning for sequences in relational LVQ
Mokbel, Bassam ; Paaßen, Benjamin ; Schleif, Frank-Michael ; Hammer, BarbaraIn: Neurocomputing, Jg. 169 H. SI, S. 306-3222015Non-negative Kernel Sparse Coding Frameworks for Efficient Analysis of Motion Data
Hosseini, Babak ; Hammer, Barbara2017Parametric nonlinear dimensionality reduction using kernel t-SNE
Gisbrecht, Andrej ; Schulz, Alexander ; Hammer, BarbaraIn: Neurocomputing, Jg. 147, S. 71-822015Personalized Maneuver Prediction at Intersections
Losing, Viktor ; Hammer, Barbara ; Wersing, Heiko2017Echo State Networks as Novel Approach for Low-Cost Myoelectric Control
Prahm, Cosima ; Schulz, Alexander ; Paaßen, Benjamin ; Aszmann, Oskar ; Hammer, Barbara ; Dorffner, Georg ; ten Telje, Annette (Hrsg.) ; Popow, Christian (Hrsg.) ; Holmes, John H. (Hrsg.) ; Sacchi, Lucia (Hrsg.)In: Proceedings of the 16th Conference on Artificial Intelligence in Medicine (AIME 2017), Jg. 10259, S. 338-3422017Unsupervised Transfer Learning for Time Series via Self-Predictive Modelling - First Results
Aswolinskiy, Witali ; Hammer, BarbaraIn: Proceedings of the Workshop on New Challenges in Neural Computation (NC2), Jg. 03/20172017Self-Adjusting Memory: How to Deal with Diverse Drift Types
Losing, Viktor ; Hammer, Barbara ; Wersing, Heiko2017Sequential Feature Classification in the Context of Redundancies
Pfannschmidt, Lukas ; Hammer, Barbara2020