Klaus Brinker

According to our database1, Klaus Brinker authored at least 22 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Automatic Scoring of Shulman's Clock Drawing Dementia Test.
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024

2023
Predicting HPV association using deep learning and regular H&E stains allows granular stratification of oropharyngeal cancer patients.
npj Digit. Medicine, 2023

2022
Random-walk Segmentation of Nuclei in Fluorescence Microscopic Images with Automatic Seed Detection.
Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022

U-Net based Semantic Segmentation of Kidney and Kidney Tumours of CT Images.
Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022

2021
Efficient Image Registration with Subpixel Accuracy using a Hybrid Fourier-based Approach.
Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021

2020
On Benchmarking Cell Nuclei Segmentation Algorithms for Fluorescence Microscopy.
Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020

2019
A Reduction of Label Ranking to Multiclass Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2018
Automatic Computation of Biophysical Cell Parameters in Digital Holographic Microscopy Images.
Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), 2018

2017
Automatic Visual Detection of Incorrect Endoscope Adaptions in Chemical Disinfection Devices.
Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017), 2017

2008
Multilabel classification via calibrated label ranking.
Mach. Learn., 2008

Learning valued preference structures for solving classification problems.
Fuzzy Sets Syst., 2008

Label ranking by learning pairwise preferences.
Artif. Intell., 2008

2007
Case-Based Multilabel Ranking.
Proceedings of the IJCAI 2007, 2007

Label Ranking in Case-Based Reasoning.
Proceedings of the Case-Based Reasoning Research and Development, 2007

Fuzzy-Relational Classification: Combining Pairwise Decomposition Techniques with Fuzzy Preference Modeling.
Proceedings of the New Dimensions in Fuzzy Logic and Related Technologies. Proceedings of the 5th EUSFLAT Conference, 2007

2006
Case-Based Label Ranking.
Proceedings of the Machine Learning: ECML 2006, 2006

A Unified Model for Multilabel Classification and Ranking.
Proceedings of the ECAI 2006, 17th European Conference on Artificial Intelligence, August 29, 2006

2005
On Active Learning in Multi-label Classification.
Proceedings of the From Data and Information Analysis to Knowledge Engineering, 2005

2004
Active learning with kernel machines.
PhD thesis, 2004

Active learning of label ranking functions.
Proceedings of the Machine Learning, 2004

On Multiclass Active Learning with Support Vector Machines.
Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004

2003
Incorporating Diversity in Active Learning with Support Vector Machines.
Proceedings of the Machine Learning, 2003


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