68 Titles in Klassifikation (DDC) → Informatik, Informationswissenschaft, allgemeine Werke → Informatik, Wissen, SystemeClassificationCloseFilters1
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Feedback Provision Strategies in Intelligent Tutoring Systems Based on Clustered Solution Spaces
Gross, Sebastian ; Mokbel, Bassam ; Hammer, Barbara ; Pinkwart, Niels ; Desel, Jörg (Ed.) ; Haake, Joerg M. (Ed.) ; Spannagel, Christian (Ed.)In: DeLFI 2012: Die 10. e-Learning Fachtagung Informatik, Vol. 207, page 27-382012Discriminative dimensionality reduction: variations, applications, interpretations
Schulz, Alexander2017Effects of Variability in Synthetic Training Data on Convolutional Neural Networks for 3D Head Reconstruction
Göpfert, Jan Philip ; Göpfert, Christina ; Botsch, Mario ; Hammer, Barbara2017Efficient Kernelization of Discriminative Dimensionality Reduction
Schulz, Alexander ; Brinkrolf, Johannes ; Hammer, BarbaraIn: Neurocomputing, Vol. 268 Issue SI, page 34-412017Explanation as a social practice: Toward a conceptual framework for the social design of AI systems
Rohlfing, Katharina ; Cimiano, Philipp ; Scharlau, Ingrid ; Matzner, Tobias ; Buhl, Heike M. ; Buschmeier, Hendrik ; Esposito, Elena ; Grimminger, Angela ; Hammer, Barbara ; Häb-Umbach, Reinhold ; Horwath, Ilona ; Hüllermeier, Eyke ; Kern, Friederike ; Kopp, Stefan ; Thommes, Kirsten ; Ngonga Ngomo, Axel-Cyrille ; Schulte, Carsten ; Wachsmuth, Henning ; Wagner, Petra ; Wrede, BrittaIn: IEEE Transactions on Cognitive and Developmental Systems, Vol. 13 Issue 3, page 717-7282021Feature Relevance Bounds for Linear Classification
Göpfert, Christina ; Pfannschmidt, Lukas ; Hammer, Barbara ; Verleysen, Michele (Ed.)2017FRI - Feature Relevance Intervals for Interpretable and Interactive Data Exploration
Pfannschmidt, Lukas ; Göpfert, Christina ; Neumann, Ursula ; Heider, Dominik ; Hammer, Barbara2019Gaussian process prediction for time series of structured data
Paaßen, Benjamin ; Göpfert, Christina ; Hammer, Barbara ; Verleysen, Michele (Ed.)2016Incremental on-line learning: A review and comparison of state of the art algorithms
Losing, Viktor ; Hammer, Barbara ; Wersing, HeikoIn: Neurocomputing, Vol. 275, page 1261-12742018Inferring Feature Relevances From Metric Learning
Schulz, Alexander ; Mokbel, Bassam ; Biehl, Michael ; Hammer, Barbara2015Interactive Online Learning for Obstacle Classification on a Mobile Robot
Losing, Viktor ; Hammer, Barbara ; Wersing, Heiko2015Interpretation of Linear Classifiers by Means of Feature Relevance Bounds
Göpfert, Christina ; Pfannschmidt, Lukas ; Göpfert, Jan Philip ; Hammer, BarbaraIn: Neurocomputing, Vol. 298, page 69-792018KNN 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, Vol. 29 Issue 4, page 1-62015Learning Vector Quantization: generalization ability and dynamics of competing prototypes
Witoelar, Aree ; Biehl, Michael ; Hammer, Barbara2007