Functional Representation of Prototypes in LVQ and Relevance Learning. - Friedrich Melchert; Udo Seiffert; Michael Biehl (WSOM, 2016)

Data dependent evaluation of dissimilarities in nearest prototype vector quantizers regarding their discriminating abilities. - Marika Kaden; David Nebel; Friedrich Melchert; Andreas Backhaus; Udo Seiffert; Thomas Villmann (WSOM, 2017)

Prototypes and matrix relevance learning in complex fourier space. - Michiel Straat; Marika Kaden; Matthias Gay; Thomas Villmann; Alexander Lampe; Udo Seiffert; Michael Biehl; Friedrich Melchert (WSOM, 2017)

A low-cost 3-D printed smartphone add-on spectrometer for diagnosis of crop diseases in field. - Godliver Owomugisha; Pius K. B. Mugagga; Friedrich Melchert; Ernest Mwebaze; John A. Quinn; Michael Biehl (COMPASS, 2020)

Adaptive basis functions for prototype-based classification of functional data. - Friedrich Melchert; Gabriele Bani; Udo Seiffert; Michael Biehl (Neural Comput. Appl., 2020)

Learning vector quantization and relevances in complex coefficient space. - Michiel Straat; Marika Kaden; Matthias Gay; Thomas Villmann; Alexander Lampe; Udo Seiffert; Michael Biehl; Friedrich Melchert (Neural Comput. Appl., 2020)

Matrix Relevance Learning From Spectral Data for Diagnosing Cassava Diseases. - Godliver Owomugisha; Friedrich Melchert; Ernest Mwebaze; John A. Quinn; Michael Biehl (IEEE Access, 2021)