| 2014 | ESANN | The Choquet kernel for monotone data. | Ali Fallah Tehrani, Marc Strickert, Eyke Hllermeier |
| 2014 | ICCBR | Learning Solution Similarity in Preference-Based CBR. | Amira Abdel-Aziz, Marc Strickert, Eyke Hllermeier |
| 2013 | CIDM | Regularization and improved interpretation of linear data mappings and adaptive distance measures. | Marc Strickert, Barbara Hammer, Thomas Villmann, Michael Biehl |
| 2013 | ESANN | A sparse kernelized matrix learning vector quantization model for human activity recognition. | Marika Kstner, Marc Strickert, Thomas Villmann |
| 2013 | ESANN | Soft rank neighbor embeddings. | Marc Strickert, Kerstin Bunte |
| 2013 | ICCBR | Preference-Based CBR: A Search-Based Problem Solving Framework. | Amira Abdel-Aziz, Weiwei Cheng, Marc Strickert, Eyke Hllermeier |
| 2013 | IWANN | Border-Sensitive Learning in Kernelized Learning Vector Quantization. | Marika Kstner, Martin Riedel, Marc Strickert, Wieland Hermann, Thomas Villmann |
| 2012 | ESANN | Posterior regularization and attribute assessment of under-determined linear mappings. | Marc Strickert, Michael Seifert |
| 2012 | PST | Visualization of processes in self-learning systems. | Gabriele Peters, Kerstin Bunte, Marc Strickert, Michael Biehl, Thomas Villmann |
| 2011 | AI | Subspace Mapping of Noisy Text Documents. | Axel J. Soto, Marc Strickert, Gustavo E. Vazquez, Evangelos E. Milios |
| 2011 | CIDM | Partial generalized correlation for hyperspectral data. | Marc Strickert, Bjrn Labitzke, Volker Blanz |
| 2011 | ESANN | Multispectral image characterization by partial generalized covariance. | Marc Strickert, Bjrn Labitzke, Andreas Kolb, Thomas Villmann |
| 2010 | ESANN | Adaptive matrix distances aiming at optimum regression subspaces. | Marc Strickert, Axel J. Soto, Gustavo E. Vazquez |
| 2009 | IWANN | Matrix Metric Adaptation Linear Discriminant Analysis of Biomedical Data. | Marc Strickert, Jens Keilwagen, Frank-Michael Schleif, Thomas Villmann, Michael Biehl |
| 2008 | ESANN | Metric adaptation for supervised attribute rating. | Marc Strickert, Frank-Michael Schleif, Thomas Villmann |
| 2007 | ESANN | Visualization of Fuzzy Information in Fuzzy-Classification for Image Segmentation using MDS. | Thomas Villmann, Marc Strickert, Cornelia Br, Frank-Michael Schleif, Udo Seiffert |
| 2007 | IJCNN | Intuitive Clustering of Biological Data. | Barbara Hammer, Alexander Hasenfuss, Frank-Michael Schleif, Thomas Villmann, Marc Strickert, Udo Seiffert |
| 2006 | ESANN | Sanger-driven MDSLocalize - a comparative study for genomic data. | Marc Strickert, Nese Sreenivasulu, Udo Seiffert |
| 2005 | ESANN | Relevance learning for mental disease classification. | Barbara Hammer, Andreas Rechtien, Marc Strickert, Thomas Villmann |
| 2005 | ESANN | Generalized Relevance LVQ with Correlation Measures for Biological Data. | Marc Strickert, Nese Sreenivasulu, Winfriede Weschke, Udo Seiffert, Thomas Villmann |
| 2005 | ICANN | High-Throughput Multi-dimensional Scaling (HiT-MDS) for cDNA-Array Expression Data. | Marc Strickert, Stefan Teichmann, Nese Sreenivasulu, Udo Seiffert |
| 2004 | ESANN | Self-organizing context learning. | Marc Strickert, Barbara Hammer |
| 2004 | ICAISC | Relevance LVQ versus SVM. | Barbara Hammer, Marc Strickert, Thomas Villmann |
| 2003 | ESANN | Unsupervised Recursive Sequence Processing. | Marc Strickert, Barbara Hammer |
| 2002 | ICANN | Rule Extraction from Self-Organizing Networks. | Barbara Hammer, Andreas Rechtien, Marc Strickert, Thomas Villmann |
| 2002 | ICANN | Learning Vector Quantization for Multimodal Data. | Barbara Hammer, Marc Strickert, Thomas Villmann |
| 2001 | ICANN | Generalized Relevance LVQ for Time Series. | Marc Strickert, Thorsten Bojer, Barbara Hammer |