Daniela Hofmann

According to our database, Daniela Hofmann authored at least 9 papers between 2012 and 2016.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2016

Learning vector quantization for proximity data.

Daniela Hofmann

PhD thesis, 2016

2015

Efficient approximations of robust soft learning vector quantization for non-vectorial data.

Daniela Hofmann, Andrej Gisbrecht, Barbara Hammer

Neurocomputing, 2015

2014

Learning interpretable kernelized prototype-based models.

Daniela Hofmann, Frank-Michael Schleif, Benjamin Paaßen, Barbara Hammer

Neurocomputing, 2014

Learning vector quantization for (dis-)similarities.

Barbara Hammer, Daniela Hofmann, Frank-Michael Schleif, Xibin Zhu

Neurocomputing, 2014

Valid interpretation of feature relevance for linear data mappings.

Benoît Frénay, Daniela Hofmann, Alexander Schulz, Michael Biehl, Barbara Hammer

Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

2013

Sparse approximations for kernel learning vector quantization.

Daniela Hofmann, Barbara Hammer

Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

2012

Efficient Approximations of Kernel Robust Soft LVQ.

Daniela Hofmann, Andrej Gisbrecht, Barbara Hammer

Proceedings of the Advances in Self-Organizing Maps - 9th International Workshop, 2012

Discriminative Dimensionality Reduction Mappings.

Andrej Gisbrecht, Daniela Hofmann, Barbara Hammer

Proceedings of the Advances in Intelligent Data Analysis XI - 11th International Symposium, 2012

Kernel Robust Soft Learning Vector Quantization.

Daniela Hofmann, Barbara Hammer

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2012