Michael Biehl

1964 -

educated at: University of Giessen

occupation: university teacher

official website: www.cs.rug.nl/~biehl

Series

There is nothing here

Create a new serie

Works

There is nothing here

Create a new work

Articles 106

Date

Title

Authors

2021-07-02

Matrix Relevance Learning From Spectral Data for Diagnosing Cassava Diseases

Friedrich Melchert, John A Quinn, Michael Biehl
2018-10-10

Statistical Mechanics of On-Line Learning Under Concept Drift

Christina Göpfert, Barbara Hammer, Michael Biehl
2018-07

Advances in artificial neural networks, machine learning and computational intelligence

Michael Biehl, Luca Oneto, Fabio Aiolli
2017-04-20

Steroid metabolome analysis reveals prevalent glucocorticoid excess in primary aldosteronism

Martin Bidlingmaier, Felix Beuschlein, Vasileios Chortis, Lorna C Gilligan, Alice J. Sitch, Jeremy W Tomlinson, Michael Biehl, Stefanie Hahner, Katharina Lang, Marcus Quinkler, Jonathan Deeks, Jaap Deinum, Wiebke Arlt, Martin Reincke, Yara Rhayem, Irina Bancos, Anna Riester, Evelyn Asbach, Beverly A Hughes, Donna M O'Neil, Cedric H L Shackleton
2017-06

Adaptive basis functions for prototype-based classification of functional data

Udo Seiffert, Michael Biehl
2017-06

Empirical evaluation of gradient methods for matrix learning vector quantization

Michael Biehl
2017-06

Fusion of deep learning architectures, multilayer feedforward networks and learning vector quantizers for deep classification learning

Michael Biehl
2017-06

Prototypes and matrix relevance learning in complex fourier space

Michiel Straat, Udo Seiffert, Michael Biehl
2016-01-21

Prototype-based models in machine learning

Michael Biehl, Barbara Hammer
2016

Complex Variants of GLVQ Based on Wirtinger’s Calculus

Michael Biehl
2016

Functional Representation of Prototypes in LVQ and Relevance Learning

Udo Seiffert, Michael Biehl
2016

LVQ and SVM Classification of FDG-PET Brain Data

Michael Biehl
2016

Prototype-Based Classification for Image Analysis and Its Application to Crop Disease Diagnosis

Michael Biehl
2015-04-09

Expression of chemokines CXCL4 and CXCL7 by synovial macrophages defines an early stage of rheumatoid arthritis

Michael Biehl, Christopher D Buckley
2015-12

Developments in computational intelligence and machine learning

Michael Biehl, Alessandro Ghio
2015-01-08

Odor recognition in robotics applications by discriminative time-series modeling

Javier G Monroy, Michael Biehl, Barbara Hammer
2014-09-08

The somatic genomic landscape of chromophobe renal cell carcinoma

Lynda Chin, Donna Muzny, Sahil Seth, Caleb F Davis, Benny A Kaipparettu, Matthew Meyerson, Dmitry A. Gordenin, Michael Biehl, W. Kimryn Rathmell, Toni K Choueiri, Andrew D Cherniack, Margaret B Morgan, David A. Wheeler, Richard A Gibbs, Christian Buhay, Christopher J Ricketts, Satish K Tickoo, Pheroze Tamboli, Victor Reuter, James J Hsieh, A Ari Hakimi, Peter W Laird, Brian Shuch, William Linehan
2014-07-03

Inter-species prediction of protein phosphorylation in the sbv IMPROVER species translation challenge

Raquel Norel, Michael Biehl, Pablo Meyer
2014-07-23

Predicting protein phosphorylation from gene expression: top methods from the IMPROVER Species Translation Challenge

Michael Biehl, Raquel Norel, Roberto Romero, Pablo Meyer, Adi L Tarca
2014-08-24

Inter-species inference of gene set enrichment in lung epithelial cells from proteomic and large transcriptomic datasets

Raquel Norel, Michael Biehl, Pablo Meyer
2013-03-18

Analysis of flow cytometry data by matrix relevance learning vector quantization

Michael Biehl, Kerstin Bunte
2013-06-20

Assessment of acrosome state in boar spermatozoa heads using n-contours descriptor and RLVQ.

Enrique Alegre, Michael Biehl
2012-09-23

Texture feature ranking with relevance learning to classify interstitial lung disease patterns

Kerstin Bunte, Michael Biehl
2012-03

A General Framework for Dimensionality-Reducing Data Visualization Mapping

Michael Biehl, Barbara Hammer
2012-06-12

Adaptive Matrices and Filters for Color Texture Classification

Kerstin Bunte, Michael Biehl
2012-04-04

Admire LVQ—Adaptive Distance Measures in Relevance Learning Vector Quantization

Michael Biehl
2012-12

Differentiable Kernels in Generalized Matrix Learning Vector Quantization

Michael Biehl
2012-08

Functional relevance learning in generalized learning vector quantization

Michael Biehl, Barbara Hammer
2012-06

Large margin linear discriminative visualization by Matrix Relevance Learning

Frank-Michael Schleif, Michael Biehl
2012-08

Stochastic neighbor embedding (SNE) for dimension reduction and visualization using arbitrary divergences

Kerstin Bunte, Michael Biehl
2012-07

Visualization of processes in self-learning systems

Michael Biehl
2011-09-14

Urine steroid metabolomics as a biomarker tool for detecting malignancy in adrenal tumors

Giuseppe Opocher, Wiebke Arlt, Michael Biehl, Angela. E. Taylor, Stefanie Hahner, Rossella Libé, David J Smith, Nils Krone, Jérome Bertherat, Massimo Terzolo

Human - wd:Q42760867

Welcome to Inventaire

the library of your friends and communities

learn more