Michael Biehl
Orcid: 0000-0001-5148-4568Affiliations:
- University of Groningen, Netherlands
According to our database1,
Michael Biehl
authored at least 154 papers
between 2002 and 2025.
Collaborative distances:
Collaborative distances:
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on orcid.org
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on id.loc.gov
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on d-nb.info
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on cs.rug.nl
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Bibliography
2025
2024
Iterated Relevance Matrix Analysis (IRMA) for the identification of class-discriminative subspaces.
Neurocomputing, 2024
Artif. Intell. Medicine, 2024
Interpretable Machine Learning in Endocrinology: A Diagnostic Tool in Primary Aldosteronism.
Proceedings of the Advances in Self-Organizing Maps, Learning Vector Quantization, Interpretable Machine Learning, and Beyond, 2024
Proceedings of the Computational Science - ICCS 2024, 2024
Proceedings of the 32nd European Symposium on Artificial Neural Networks, 2024
On-line Learning Dynamics in Layered Neural Networks with Arbitrary Activation Functions.
Proceedings of the 32nd European Symposium on Artificial Neural Networks, 2024
2023
Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023
Improved Interpretation of Feature Relevances: Iterated Relevance Matrix Analysis (IRMA).
Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023
2022
Neural Comput. Appl., 2022
A machine learning based approach to gravitational lens identification with the International LOFAR Telescope.
CoRR, 2022
Interpretable Models Capable of Handling Systematic Missingness in Imbalanced Classes and Heterogeneous Datasets.
CoRR, 2022
FDG-PET combined with learning vector quantization allows classification of neurodegenerative diseases and reveals the trajectory of idiopathic REM sleep behavior disorder.
Comput. Methods Programs Biomed., 2022
A Learning Vector Quantization Architecture for Transfer Learning Based Classification in Case of Multiple Sources by Means of Null-Space Evaluation.
Proceedings of the Advances in Intelligent Data Analysis XX, 2022
2021
DECORAS: detection and characterization of radio-astronomical sources using deep learning.
CoRR, 2021
IEEE Access, 2021
2020
Neural Comput. Appl., 2020
Neural Comput. Appl., 2020
Feature relevance determination for ordinal regression in the context of feature redundancies and privileged information.
Neurocomputing, 2020
Frontiers Appl. Math. Stat., 2020
Comput. Methods Programs Biomed., 2020
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2020
Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, 2020
A low-cost 3-D printed smartphone add-on spectrometer for diagnosis of crop diseases in field.
Proceedings of the 3rd ACM SIGCAS Conference on Computing and Sustainable Societies, 2020
Proceedings of the APPIS 2020: 3rd International Conference on Applications of Intelligent Systems, 2020
2019
Neurocomputing, 2019
Hidden Unit Specialization in Layered Neural Networks: ReLU vs. Sigmoidal Activation.
CoRR, 2019
Proceedings of the Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization, 2019
On-line learning dynamics of ReLU neural networks using statistical physics techniques.
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019
A Computer Vision Pipeline that Uses Thermal and RGB Images for the Recognition of Holstein Cattle.
Proceedings of the Computer Analysis of Images and Patterns, 2019
The Statistical Physics of Learning Revisited: Typical Learning Curves in Model Scenarios.
Proceedings of the Brain-Inspired Computing - 4th International Workshop, 2019
2018
Advances in artificial neural networks, machine learning and computational intelligence.
Neurocomputing, 2018
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018
Machine Learning Based Analysis of FDG-PET Image Data for the Diagnosis of Neurodegenerative Diseases.
Proceedings of the Applications of Intelligent Systems, 2018
2017
Fusion of deep learning architectures, multilayer feedforward networks and learning vector quantizers for deep classification learning.
Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, 2017
Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, 2017
Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, 2017
Marker selection for the detection of trisomy 21 using generalized matrix learning vector quantization.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Sequence Learning in Unsupervised and Supervised Vector Quantization Using Hankel Matrices.
Proceedings of the Artificial Intelligence and Soft Computing, 2017
Comparison of strategies to learn from imbalanced classes for computer aided diagnosis of inborn steroidogenic disorders.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017
Biomedical data analysis in translational research: integration of expert knowledge and interpretable models.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017
Proceedings of the Algorithms for Computational Biology, 2017
2016
Pattern Anal. Appl., 2016
Integration of Expert Knowledge for Interpretable Models in Biomedical Data Analysis (Dagstuhl Seminar 16261).
Dagstuhl Reports, 2016
Prototype-Based Classification for Image Analysis and Its Application to Crop Disease Diagnosis.
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2016
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2016
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2016
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2016
Predicting recurrence in clear cell Renal Cell Carcinoma: Analysis of TCGA data using outlier analysis and generalized matrix LVQ.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Proceedings of the Astroinformatics 2016, Sorrento, Italy, October 19-25, 2016, 2016
2015
Insightful stress detection from physiology modalities using Learning Vector Quantization.
Neurocomputing, 2015
Neurocomputing, 2015
Modeling spontaneous activity across an excitable epithelium: Support for a coordination scenario of early neural evolution.
Frontiers Comput. Neurosci., 2015
MED-NODE: A computer-assisted melanoma diagnosis system using non-dermoscopic images.
Expert Syst. Appl., 2015
Inter-species inference of gene set enrichment in lung epithelial cells from proteomic and large transcriptomic datasets.
Bioinform., 2015
Predicting protein phosphorylation from gene expression: top methods from the IMPROVER Species Translation Challenge.
Bioinform., 2015
Inter-species prediction of protein phosphorylation in the sbv IMPROVER species translation challenge.
Bioinform., 2015
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015
Proceedings of the Computer Analysis of Images and Patterns, 2015
Proceedings of the Computer Analysis of Images and Patterns, 2015
Proceedings of the Brain-Inspired Computing - Second International Workshop, 2015
2014
J. Math. Imaging Vis., 2014
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2014
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014
2013
J. Math. Imaging Vis., 2013
Assessment of acrosome state in boar spermatozoa heads using n-contours descriptor and RLVQ.
Comput. Methods Programs Biomed., 2013
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013
Regularization and improved interpretation of linear data mappings and adaptive distance measures.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2013
Proceedings of the Brain-Inspired Computing - International Workshop, 2013
2012
Neural Networks, 2012
Neural Comput., 2012
Künstliche Intell., 2012
Neurocomputing, 2012
Stochastic neighbor embedding (SNE) for dimension reduction and visualization using arbitrary divergences.
Neurocomputing, 2012
Texture feature ranking with relevance learning to classify interstitial lung disease patterns.
Artif. Intell. Medicine, 2012
Non-Euclidean Principal Component Analysis and Oja's Learning Rule - Theoretical Aspects.
Proceedings of the Advances in Self-Organizing Maps - 9th International Workshop, 2012
Proceedings of the Tenth Annual International Conference on Privacy, Security and Trust, 2012
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012
2011
Pattern Recognit., 2011
Neurocomputing, 2011
Neurocomputing, 2011
Dagstuhl Reports, 2011
CoRR, 2011
Proceedings of the Advances in Self-Organizing Maps - 8th International Workshop, 2011
Texture feature selection with relevance learning to classify interstitial lung disease patterns.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011
Proceedings of the Computer Analysis of Images and Patterns, 2011
2010
Neurocomputing, 2010
Adaptive local dissimilarity measures for discriminative dimension reduction of labeled data.
Neurocomputing, 2010
Proceedings of the Intelligent Data Engineering and Automated Learning, 2010
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010
Exploratory Observation Machine (XOM) with Kullback-Leibler Divergence for Dimensionality Reduction and Visualization.
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010
Proceedings of the Learning paradigms in dynamic environments, 25.07. - 30.07.2010, 2010
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2010
Early Nervous Systems - Theoretical Background and a Preliminary Model of Neuronal Processes.
Proceedings of the Twelfth International Conference on the Synthesis and Simulation of Living Systems, 2010
2009
Proceedings of the Innovations in Neural Information Paradigms and Applications, 2009
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009
Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009
Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009
Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009
Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009
Analysis of Robust Soft Learning Vector Quantization and an application to Facial Expression Recognition.
Proceedings of the Similarity-based learning on structures, 15.02. - 20.02.2009, 2009
Proceedings of the Similarity-Based Clustering, 2009
Proceedings of the Similarity-based learning on structures, 15.02. - 20.02.2009, 2009
Proceedings of the Similarity-based learning on structures, 15.02. - 20.02.2009, 2009
Proceedings of the Similarity-Based Clustering, 2009
Proceedings of the Computer Analysis of Images and Patterns, 13th International Conference, 2009
2008
Neurocomputing, 2008
Neurocomputing, 2008
Automatic classification of the acrosome status of boar spermatozoa using digital image processing and LVQ.
Comput. Biol. Medicine, 2008
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008
Proceedings of the Artificial Neural Networks in Pattern Recognition, Third IAPR Workshop, 2008
2007
Analysis of Tiling Microarray Data by Learning Vector Quantization and Relevance Learning.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2007
Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007
Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007
Learning Vector Quantization: generalization ability and dynamics of competing prototypes.
Proceedings of the Similarity-based Clustering and its Application to Medicine and Biology, 25.03., 2007
07131 Abstracts Collection -- Similarity-based Clustering and its Application to Medicine and Biology.
Proceedings of the Similarity-based Clustering and its Application to Medicine and Biology, 25.03., 2007
07131 Summary -- Similarity-based Clustering and its Application to Medicine and Biology.
Proceedings of the Similarity-based Clustering and its Application to Medicine and Biology, 25.03., 2007
2006
Neural Networks, 2006
Neurocomputing, 2006
Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006
LVQ acrosome integrity assessment of boar sperm cells.
Proceedings of the Computational Modeling of Objects Represented in Images-Fundamentals, 2006
2005
Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005
2002
Proceedings of the 10th Eurorean Symposium on Artificial Neural Networks, 2002