Friedrich Melchert

Publication Activity (10 Years)

Years Active: 2016-2021
Publications (10 Years): 8

Top Topics

Supervised Learning

Learning Vector Quantization

Disease Diagnosis

Top Venues

Neural Comput. Appl.

Publications

Godliver Owomugisha, Friedrich Melchert, Ernest Mwebaze, John A. Quinn, Michael Biehl
Matrix Relevance Learning From Spectral Data for Diagnosing Cassava Diseases. IEEE Access 9 (2021)
Godliver Owomugisha, Pius K. B. Mugagga, Friedrich Melchert, Ernest Mwebaze, John A. Quinn, Michael Biehl
A low-cost 3-D printed smartphone add-on spectrometer for diagnosis of crop diseases in field. COMPASS (2020)
Michiel Straat, Marika Kaden, Matthias Gay, Thomas Villmann, Alexander Lampe, Udo Seiffert, Michael Biehl, Friedrich Melchert
Learning vector quantization and relevances in complex coefficient space. Neural Comput. Appl. 32 (24) (2020)
Friedrich Melchert, Gabriele Bani, Udo Seiffert, Michael Biehl
Adaptive basis functions for prototype-based classification of functional data. Neural Comput. Appl. 32 (24) (2020)
Gabriele Bani, Udo Seiffert, Michael Biehl, Friedrich Melchert
Adaptive basis functions for prototype-based classification of functional data. WSOM (2017)
Michiel Straat, Marika Kaden, Matthias Gay, Thomas Villmann, Alexander Lampe, Udo Seiffert, Michael Biehl, Friedrich Melchert
Prototypes and matrix relevance learning in complex fourier space. WSOM (2017)
Marika Kaden, David Nebel, Friedrich Melchert, Andreas Backhaus, Udo Seiffert, Thomas Villmann
Data dependent evaluation of dissimilarities in nearest prototype vector quantizers regarding their discriminating abilities. WSOM (2017)
Friedrich Melchert, Udo Seiffert, Michael Biehl
Functional Representation of Prototypes in LVQ and Relevance Learning. WSOM (2016)