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Klaus Brinker
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Books and Theses
- 2004
- [b1]Klaus Brinker:
Active learning with kernel machines. University of Paderborn, Germany, 2004, pp. 1-162
Journal Articles
- 2023
- [j4]Sebastian Klein
, Nora Wuerdemann, Imke Demers
, Christopher Kopp, Jennifer Quantius, Arthur Charpentier, Yuri Tolkach, Klaus Brinker, Shachi Jenny Sharma, Julie George, Jochen Hess
, Fabian Stögbauer
, Martin Lacko
, Marijn Struijlaart, Mari F. C. M. van den Hout, Steffen Wagner
, Claus Wittekindt, Christine Langer, Christoph Arens
, Reinhard Büttner
, Alexander Quaas, Hans Christian Reinhardt, Ernst-Jan Speel, Jens Peter Klussmann:
Predicting HPV association using deep learning and regular H&E stains allows granular stratification of oropharyngeal cancer patients. npj Digit. Medicine 6 (2023) - 2008
- [j3]Eyke Hüllermeier, Johannes Fürnkranz
, Weiwei Cheng, Klaus Brinker:
Label ranking by learning pairwise preferences. Artif. Intell. 172(16-17): 1897-1916 (2008) - [j2]Eyke Hüllermeier, Klaus Brinker:
Learning valued preference structures for solving classification problems. Fuzzy Sets Syst. 159(18): 2337-2352 (2008) - [j1]Johannes Fürnkranz
, Eyke Hüllermeier, Eneldo Loza Mencía, Klaus Brinker:
Multilabel classification via calibrated label ranking. Mach. Learn. 73(2): 133-153 (2008)
Conference and Workshop Papers
- 2024
- [c17]Bianca Suermann, Miguel Schulz, Klaus Brinker, Markus Weih:
Automatic Scoring of Shulman's Clock Drawing Dementia Test. BIOSTEC (2) 2024: 474-481 - 2022
- [c16]Benjamin Bracke
, Klaus Brinker:
U-Net based Semantic Segmentation of Kidney and Kidney Tumours of CT Images. BIOIMAGING 2022: 93-102 - [c15]Tabea Margareta Grace Pakull, Frederike Wirth, Klaus Brinker:
Random-walk Segmentation of Nuclei in Fluorescence Microscopic Images with Automatic Seed Detection. BIOIMAGING 2022: 103-110 - 2021
- [c14]Jelina Unger, Klaus Brinker:
Efficient Image Registration with Subpixel Accuracy using a Hybrid Fourier-based Approach. BIOIMAGING 2021: 136-143 - 2020
- [c13]Frederike Wirth, Eva-Maria Brinkmann, Klaus Brinker:
On Benchmarking Cell Nuclei Segmentation Algorithms for Fluorescence Microscopy. BIOIMAGING 2020: 164-171 - 2019
- [c12]Klaus Brinker, Eyke Hüllermeier:
A Reduction of Label Ranking to Multiclass Classification. ECML/PKDD (3) 2019: 204-219 - 2018
- [c11]Lilith Brandt, Klaus Brinker, Björn Kemper
:
Automatic Computation of Biophysical Cell Parameters in Digital Holographic Microscopy Images. HEALTHINF 2018: 431-437 - 2017
- [c10]Timo Brune, Björn Brune, Sascha Eschborn, Klaus Brinker:
Automatic Visual Detection of Incorrect Endoscope Adaptions in Chemical Disinfection Devices. HEALTHINF 2017: 305-312 - 2007
- [c9]Eyke Hüllermeier, Klaus Brinker:
Fuzzy-Relational Classification: Combining Pairwise Decomposition Techniques with Fuzzy Preference Modeling. EUSFLAT Conf. (1) 2007: 353-360 - [c8]Klaus Brinker, Eyke Hüllermeier:
Label Ranking in Case-Based Reasoning. ICCBR 2007: 77-91 - [c7]Klaus Brinker, Eyke Hüllermeier:
Case-Based Multilabel Ranking. IJCAI 2007: 702-707 - 2006
- [c6]Klaus Brinker, Johannes Fürnkranz, Eyke Hüllermeier:
A Unified Model for Multilabel Classification and Ranking. ECAI 2006: 489-493 - [c5]Klaus Brinker, Eyke Hüllermeier:
Case-Based Label Ranking. ECML 2006: 566-573 - 2005
- [c4]Klaus Brinker:
On Active Learning in Multi-label Classification. GfKl 2005: 206-213 - 2004
- [c3]Klaus Brinker:
On Multiclass Active Learning with Support Vector Machines. ECAI 2004: 969-970 - [c2]Klaus Brinker:
Active learning of label ranking functions. ICML 2004 - 2003
- [c1]Klaus Brinker:
Incorporating Diversity in Active Learning with Support Vector Machines. ICML 2003: 59-66
Coauthor Index
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