Incorporating Diversity in Active Learning with Support Vector Machines. - Klaus Brinker (ICML, 2003)

On Multiclass Active Learning with Support Vector Machines. - Klaus Brinker (ECAI, 2004)

Active learning of label ranking functions. - Klaus Brinker (ICML, 2004)

Active learning with kernel machines. - Klaus Brinker (2004)

On Active Learning in Multi-label Classification. - Klaus Brinker (GfKl, 2005)

A Unified Model for Multilabel Classification and Ranking. - Klaus Brinker; Johannes Fürnkranz; Eyke Hüllermeier (ECAI, 2006)

Case-Based Label Ranking. - Klaus Brinker; Eyke Hüllermeier (ECML, 2006)

Fuzzy-Relational Classification: Combining Pairwise Decomposition Techniques with Fuzzy Preference Modeling. - Eyke Hüllermeier; Klaus Brinker (EUSFLAT Conf. (1), 2007)

Label Ranking in Case-Based Reasoning. - Klaus Brinker; Eyke Hüllermeier (ICCBR, 2007)

Case-Based Multilabel Ranking. - Klaus Brinker; Eyke Hüllermeier (IJCAI, 2007)

Label ranking by learning pairwise preferences. - Eyke Hüllermeier; Johannes Fürnkranz; Weiwei Cheng; Klaus Brinker (Artif. Intell., 2008)

Learning valued preference structures for solving classification problems. - Eyke Hüllermeier; Klaus Brinker (Fuzzy Sets Syst., 2008)

Multilabel classification via calibrated label ranking. - Johannes Fürnkranz; Eyke Hüllermeier; Eneldo Loza Mencía; Klaus Brinker (Mach. Learn., 2008)

Automatic Visual Detection of Incorrect Endoscope Adaptions in Chemical Disinfection Devices. - Timo Brune; Björn Brune; Sascha Eschborn; Klaus Brinker (HEALTHINF, 2017)

Automatic Computation of Biophysical Cell Parameters in Digital Holographic Microscopy Images. - Lilith Brandt; Klaus Brinker; Björn Kemper (HEALTHINF, 2018)

A Reduction of Label Ranking to Multiclass Classification. - Klaus Brinker; Eyke Hüllermeier (ECML/PKDD (3), 2019)

On Benchmarking Cell Nuclei Segmentation Algorithms for Fluorescence Microscopy. - Frederike Wirth; Eva-Maria Brinkmann; Klaus Brinker (BIOIMAGING, 2020)

Efficient Image Registration with Subpixel Accuracy using a Hybrid Fourier-based Approach. - Jelina Unger; Klaus Brinker (BIOIMAGING, 2021)

U-Net based Semantic Segmentation of Kidney and Kidney Tumours of CT Images. - Benjamin Bracke; Klaus Brinker (BIOIMAGING, 2022)

Random-walk Segmentation of Nuclei in Fluorescence Microscopic Images with Automatic Seed Detection. - Tabea Margareta Grace Pakull; Frederike Wirth; Klaus Brinker (BIOIMAGING, 2022)

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

Automatic Scoring of Shulman's Clock Drawing Dementia Test. - Bianca Suermann; Miguel Schulz; Klaus Brinker; Markus Weih (BIOSTEC (2), 2024)