| 2025 | ESANN | Machine Learning on Smartphone-Captured Diffraction Data. | Udo Seiffert, Ashish Shivajirao Jadhav, Andreas Backhaus |
| 2022 | ESANN | Federated learning vector quantization for dealing with drift between nodes. | Johannes Brinkrolf, Valerie Vaquet, Fabian Hinder, Patrick Menz, Udo Seiffert, Barbara Hammer |
| 2022 | ESANN | From hyperspectral to multispectral sensing - from simulation to reality: A comprehensive approach for calibration model transfer. | Patrick Menz, Valerie Vaquet, Barbara Hammer, Udo Seiffert |
| 2021 | ESANN | Investigating Intensity and Transversal Drift in Hyperspectral Imaging Data. | Valerie Vaquet, Patrick Menz, Udo Seiffert, Barbara Hammer |
| 2019 | ESANN | Transfer Learning for transferring machine-learning based models among hyperspectral sensors. | Patrick Menz, Andreas Backhaus, Udo Seiffert |
| 2013 | CIDM | Quantitative Measurements of model interpretability for the analysis of spectral data. | Andreas Backhaus, Udo Seiffert |
| 2013 | ESANN | Processing Hyperspectral Data in Machine Learning. | Thomas Villmann, Marika Kstner, Andreas Backhaus, Udo Seiffert |
| 2013 | ICIP | A comparison of late fusion methods for object detection. | Uwe Knauer, Udo Seiffert |
| 2012 | ESANN | Classifying Scotch Whisky from near-infrared Raman spectra with a Radial Basis Function Network with Relevance Learning. | Andreas Backhaus, Praveen Cheriyan Ashok, Bavishna Balagopal Praveen, Kishan Dholakia, Udo Seiffert |
| 2012 | ESANN | Hardware accelerated real time classification of hyperspectral imaging data for coffee sorting. | Andreas Backhaus, Jan Lachmair, Ulrich Rckert, Udo Seiffert |
| 2012 | IJCNN | Fractal analysis of resting state functional connectivity of the brain. | Wonsang You, Sophie Achard, Jrg Stadler, Bernd Brckner, Udo Seiffert |
| 2011 | ESANN | Recent trends in computational intelligence in life sciences. | Udo Seiffert, Frank-Michael Schleif, Dietlind Zhlke |
| 2010 | ESANN | Validation of unsupervised clustering methods for leaf phenotype screening. | Andreas Backhaus, Asuka Kuwabara, Andrew Fleming, Udo Seiffert |
| 2010 | ICPR | Joint Registration and Segmentation of Histological Volume Data by Diffusion-Based Label Adaption. | Felix Bollenbeck, Udo Seiffert |
| 2008 | ESANN | Machine learning approches and pattern recognition for spectral data. | Thomas Villmann, Erzsbet Mernyi, Udo Seiffert |
| 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 | Fuzzy image segmentation with Fuzzy Labelled Neural Gas. | Cornelia Br, Felix Bollenbeck, Frank-Michael Schleif, Winfriede Weschke, Thomas Villmann, Udo Seiffert |
| 2006 | ESANN | Neural networks and machine learning in bioinformatics - theory and applications. | Udo Seiffert, Barbara Hammer, Samuel Kaski, Thomas Villmann |
| 2006 | ESANN | Sanger-driven MDSLocalize - a comparative study for genomic data. | Marc Strickert, Nese Sreenivasulu, Udo Seiffert |
| 2006 | IJCNN | Training of Large-Scale Feed-Forward Neural Networks. | Udo Seiffert |
| 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 | Theory and applications of neural maps. | Thomas Villmann, Udo Seiffert, Axel Wismller |
| 2003 | CIARP | Improving Still Image Coding by an SOM-Controlled Associative Memory. | Gerald Krell, R. Rebmann, Udo Seiffert, Bernd Michaelis |
| 2003 | DCC | Associative Correction Of Compression Artefacts With A Self-Organizing Map Classifying The Image Content. | R. Rebmann, Gerald Krell, Udo Seiffert, Bernd Michaelis |
| 2003 | ESANN | Digital Image Processing with Neural Networks. | Axel Wismller, Udo Seiffert |
| 2002 | ESANN | Artificial Neural Networks on Massively Parallel Computer Hardware. | Udo Seiffert |
| 2001 | ESANN | Multiple Layer Perceptron training using genetic algorithms. | Udo Seiffert |
| 2001 | HIS | Neural Techniques in Logo Recognition. | Vaijayanti Joshi, Lakhmi C. Jain, Udo Seiffert, Kathleen Zyga, Richard Price, Friedrich Leisch |
| 1996 | ICPR | Adaptive filtering of distorted displacement vector fields using artificial neural networks. | Bernd Michaelis, Olaf Schnelting, Udo Seiffert, Rdiger Mecke |