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Klaus Brinker
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2020 – today
- 2024
- [c17]Bianca Suermann, Miguel Schulz, Klaus Brinker, Markus Weih:
Automatic Scoring of Shulman's Clock Drawing Dementia Test. BIOSTEC (2) 2024: 474-481 - 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) - 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
2010 – 2019
- 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
2000 – 2009
- 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) - 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
- [b1]Klaus Brinker:
Active learning with kernel machines. University of Paderborn, Germany, 2004, pp. 1-162 - [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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last updated on 2024-06-10 21:25 CEST by the dblp team
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