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vom 3.3.2022
Relevance learning for redundant features
Pfannschmidt, Lukas
2021
Interpretable analysis of motion data
Hosseini, Babak
2021
Topographic Processing of Relational Data
Hammer, Barbara ; Hasenfuß, Alexander ; Rossi, Fabrice ; Strickert, Marc
2007
Single pass clustering for large data sets
Alex, Nikolai ; Hammer, Barbara ; Klawonn, Frank
2007
Learning Vector Quantization: generalization ability and dynamics of competing prototypes
Witoelar, Aree ; Biehl, Michael ; Hammer, Barbara
2007
Explanation 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, Britta
In: IEEE Transactions on Cognitive and Developmental Systems, Jg. 13 H. 3, S. 717-728
2021
Class imaging of hyperspectral satellite remote sensing data using FLSOM
Villmann, Thomas ; Schleif, Frank-Michael ; Merenyi, E. ; Strickert, M. ; Hammer, Barbara
2007
Advanced metric adaptation in Generalized LVQ for classification of mass spectrometry data
Schneider, Petra ; Biehl, Michael ; Schleif, Frank-Michael ; Hammer, Barbara
2007
Accelerating Relational Clustering Algorithms With Sparse Prototype Representation
Rossi, Fabrice ; Hasenfuß, Alexander ; Hammer, Barbara
2007

vom 14.7.2021
Visualization of Regression Models Using Discriminative Dimensionality Reduction
Schulz, Alexander ; Hammer, Barbara
In: Computer Analysis of Images and Patterns, Jg. 9257, S. 437-449
2015
Valid interpretation of feature relevance for linear data mappings
Frenay, Benoit ; Hofmann, Daniela ; Schulz, Alexander ; Biehl, Michael ; Hammer, Barbara
2014
Using Discriminative Dimensionality Reduction to Visualize Classifiers
Schulz, Alexander ; Gisbrecht, Andrej ; Hammer, Barbara
In: Neural Processing Letters, Jg. 42 H. 1, S. 27-54
2015
Unsupervised Transfer Learning for Time Series via Self-Predictive Modelling - First Results
Aswolinskiy, Witali ; Hammer, Barbara
In: Proceedings of the Workshop on New Challenges in Neural Computation (NC2), Jg. 03/2017
2017
Unsupervised Segmentation of Object Manipulation Operations from Multimodal Input
Barchunova, Alexandra ; Moringen, Jan ; Großekathöfer, Ulf ; Haschke, Robert ; Wachsmuth, Sven ; Janssen, Herbert ; Ritter, Helge ; Hammer, Barbara (Hrsg.) ; Villmann, Thomas (Hrsg.)
2011
Unsupervised Dimensionality Reduction for Transfer Learning
Blöbaum, Patrick ; Schulz, Alexander ; Hammer, Barbara ; Verleysen, Michel (Hrsg.)
2015
Transfer Learning for Rapid Re-calibration of a Myoelectric Prosthesis after Electrode Shift
Prahm, Cosima ; Paaßen, Benjamin ; Schulz, Alexander ; Hammer, Barbara ; Aszmann, Oskar ; Ibáñez, Jaime (Hrsg.) ; Gonzáles-Vargas, José (Hrsg.) ; Azorín, José María (Hrsg.) ; Akay, Metin (Hrsg.) ; Pons, José Luis (Hrsg.)
2016
Towards Dimensionality Reduction for Smart Home Sensor Data
Mokbel, Bassam ; Schulz, Alexander ; Hammer, Barbara (Hrsg.) ; Martinetz, Thomas (Hrsg.) ; Villmann, Thomas (Hrsg.)
2015
The impact of frequency distributions in a perceptual grouping oscillator network
Meier, Martin ; Haschke, Robert ; Ritter, Helge ; Hammer, Barbara (Hrsg.) ; Martinez, Thomas (Hrsg.) ; Villmann, Thomas (Hrsg.)
In: Workshop New Challenges in Neural Computation 2014, Jg. 2014 H. 02, S. 11-14
2014
Task-Driven Sparse Coding for Classification of Motion Data
Hosseini, Babak ; Hammer, Barbara
2017
Sustainability and Trust for Artificial Intelligence Technologies
Hammer, Barbara ; van der Aalst, Wil ; Bauckhage, Christian ; Behnke, Sven ; Holz, Thorsten ; Krämer, Nicole ; Morik, Katharina ; Ngonga Ngomo, Axel-Cyrille
2020
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73 Neuzugänge
Klassifikation
Schliessen
Filter
2

Relevance learning for redundant features

Interpretable analysis of motion data

Topographic Processing of Relational Data

Single pass clustering for large data sets

Learning Vector Quantization: generalization ability and dynamics of competing prototypes

Explanation as a social practice: Toward a conceptual framework for the social design of AI systems

Class imaging of hyperspectral satellite remote sensing data using FLSOM

Advanced metric adaptation in Generalized LVQ for classification of mass spectrometry data

Accelerating Relational Clustering Algorithms With Sparse Prototype Representation

Visualization of Regression Models Using Discriminative Dimensionality Reduction

Valid interpretation of feature relevance for linear data mappings

Using Discriminative Dimensionality Reduction to Visualize Classifiers

Unsupervised Transfer Learning for Time Series via Self-Predictive Modelling - First Results

Unsupervised Segmentation of Object Manipulation Operations from Multimodal Input

Unsupervised Dimensionality Reduction for Transfer Learning

Transfer Learning for Rapid Re-calibration of a Myoelectric Prosthesis after Electrode Shift

Towards Dimensionality Reduction for Smart Home Sensor Data

The impact of frequency distributions in a perceptual grouping oscillator network

Task-Driven Sparse Coding for Classification of Motion Data

Sustainability and Trust for Artificial Intelligence Technologies

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