Daniela Hofmann

Learning vector quantization for proximity data

Daniela Hofmann, Daniela Hofmann, 2016 .

Learning interpretable kernelized prototype-based models

Frank-Michael Schleif, Barbara Hammer, Daniela Hofmann, 2014, Neurocomputing.

Learning vector quantization for (dis-)similarities

Frank-Michael Schleif, Xibin Zhu, Barbara Hammer, 2014, Neurocomputing.

MIWOCI Workshop 2014

Michael Biehl, Barbara Hammer, Daniela Hofmann, 2014 .

Valid interpretation of feature relevance for linear data mappings

Benoît Frénay, Michael Biehl, Barbara Hammer, 2014, 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM).

Scalable Feature Extraction with Aerial and Satellite Imagery

Daniel Hofmann, Virginia Ng, Daniela Hofmann, 2018, SciPy.