Accelerating kernel clustering for biomedical data analysis. - Andrej Gisbrecht; Barbara Hammer; Frank-Michael Schleif; Xibin Zhu (CIBCB, 2011)

Patch Affinity Propagation. - Xibin Zhu; Barbara Hammer (ESANN, 2011)

Relational Extensions of Learning Vector Quantization. - Barbara Hammer; Frank-Michael Schleif; Xibin Zhu (ICONIP (2), 2011)

Prototype-Based Classification of Dissimilarity Data. - Barbara Hammer; Bassam Mokbel; Frank-Michael Schleif; Xibin Zhu (IDA, 2011)

Linear Time Heuristics for Topographic Mapping of Dissimilarity Data. - Andrej Gisbrecht; Frank-Michael Schleif; Xibin Zhu; Barbara Hammer (IDEAL, 2011)

Topographic Mapping of Dissimilarity Data. - Barbara Hammer; Andrej Gisbrecht; Alexander Hasenfuss; Bassam Mokbel; Frank-Michael Schleif; Xibin Zhu (WSOM, 2011)

Soft Competitive Learning for Large Data Sets. - Frank-Michael Schleif; Xibin Zhu; Barbara Hammer (ADBIS Workshops, 2012)

White Box Classification of Dissimilarity Data. - Barbara Hammer; Bassam Mokbel; Frank-Michael Schleif; Xibin Zhu (HAIS (1), 2012)

Fast approximated relational and kernel clustering. - Frank-Michael Schleif; Xibin Zhu; Andrej Gisbrecht; Barbara Hammer (ICPR, 2012)

A Conformal Classifier for Dissimilarity Data. - Frank-Michael Schleif; Xibin Zhu; Barbara Hammer (AIAI (2), 2012)

Patch Processing for Relational Learning Vector Quantization. - Xibin Zhu; Frank-Michael Schleif; Barbara Hammer (ISNN (1), 2012)

Cluster Based Feedback Provision Strategies in Intelligent Tutoring Systems. - Sebastian Gross; Xibin Zhu; Barbara Hammer; Niels Pinkwart (ITS, 2012)

Linear Time Relational Prototype Based Learning. - Andrej Gisbrecht; Bassam Mokbel; Frank-Michael Schleif; Xibin Zhu; Barbara Hammer (Int. J. Neural Syst., 2012)

Approximation techniques for clustering dissimilarity data. - Xibin Zhu; Andrej Gisbrecht; Frank-Michael Schleif; Barbara Hammer (Neurocomputing, 2012)

Semi-Supervised Vector Quantization for proximity data. - Xibin Zhu; Frank-Michael Schleif; Barbara Hammer (ESANN, 2013)

Sparse Prototype Representation by Core Sets. - Frank-Michael Schleif; Xibin Zhu; Barbara Hammer (IDEAL, 2013)

Secure Semi-supervised Vector Quantization for Dissimilarity Data. - Xibin Zhu; Frank-Michael Schleif; Barbara Hammer (IWANN (1), 2013)

High Dimensional Matrix Relevance Learning. - Frank-Michael Schleif; Thomas Villmann; Xibin Zhu (ICDM Workshops, 2014)

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

Adaptive conformal semi-supervised vector quantization for dissimilarity data. - Xibin Zhu; Frank-Michael Schleif; Barbara Hammer (Pattern Recognit. Lett., 2014)

Sparse conformal prediction for dissimilarity data. - Frank-Michael Schleif; Xibin Zhu; Barbara Hammer (Ann. Math. Artif. Intell., 2015)

Adaptive prototype-based dissimilarity learning. - Xibin Zhu (2015)