Kernel Robust Soft Learning Vector Quantization. - Daniela Hofmann; Barbara Hammer (ANNPR, 2012)

Discriminative Dimensionality Reduction Mappings. - Andrej Gisbrecht; Daniela Hofmann; Barbara Hammer (IDA, 2012)

Efficient Approximations of Kernel Robust Soft LVQ. - Daniela Hofmann; Andrej Gisbrecht; Barbara Hammer (WSOM, 2012)

Sparse approximations for kernel learning vector quantization. - Daniela Hofmann; Barbara Hammer (ESANN, 2013)

Valid interpretation of feature relevance for linear data mappings. - Benoît Frénay; Daniela Hofmann; Alexander Schulz 001; Michael Biehl; Barbara Hammer (CIDM, 2014)

Learning vector quantization for (dis-)similarities. - Barbara Hammer; Daniela Hofmann; Frank-Michael Schleif; Xibin Zhu (Neurocomputing, 2014)

Learning interpretable kernelized prototype-based models. - Daniela Hofmann; Frank-Michael Schleif; Benjamin Paaßen; Barbara Hammer (Neurocomputing, 2014)

Efficient approximations of robust soft learning vector quantization for non-vectorial data. - Daniela Hofmann; Andrej Gisbrecht; Barbara Hammer (Neurocomputing, 2015)

Learning vector quantization for proximity data. - Daniela Hofmann (2016)