| 2026 | ESANN | Implementation of Multi-Matrix Median Generalized Learning Vector Quantization. | Lukas Bader, Ina Terwey-Scheulen, Dietlind Zhlke |
| 2022 | LREC | Multitask Learning for Grapheme-to-Phoneme Conversion of Anglicisms in German Speech Recognition. | Julia Pritzen, Michael Gref, Dietlind Zhlke, Christoph Andreas Schmidt |
| 2017 | ESANN | Biomedical data analysis in translational research: integration of expert knowledge and interpretable models. | Gyan Bhanot, Michael Biehl, Thomas Villmann, Dietlind Zhlke |
| 2015 | ESANN | Combining dissimilarity measures for prototype-based classification. | Ernest Mwebaze, Gjalt Bearda, Michael Biehl, Dietlind Zhlke |
| 2014 | ESANN | Applications of lp-Norms and their Smooth Approximations for Gradient Based Learning Vector Quantization. | Mandy Lange, Dietlind Zhlke, Olaf Holz, Thomas Villmann |
| 2011 | ESANN | Recent trends in computational intelligence in life sciences. | Udo Seiffert, Frank-Michael Schleif, Dietlind Zhlke |
| 2010 | ESANN | Learning vector quantization for heterogeneous structured data. | Dietlind Zhlke, Frank-Michael Schleif, Tina Geweniger, Sven Haase, Thomas Villmann |
| 2009 | ESANN | Median Variant of Fuzzy c-Means. | Tina Geweniger, Dietlind Zhlke, Barbara Hammer, Thomas Villmann |
| 2009 | ESANN | Fuzzy Fleiss-kappa for Comparison of Fuzzy Classifiers. | Dietlind Zhlke, Tina Geweniger, Ulrich Heimann, Thomas Villmann |