| 2026 | ESANN | Hub-Aware Hybrid Search: Accelerating the Locally Aligned Ant Technique. | Simone Vilardi, Reynier Peletier, Felipe Contreras, Kerstin Bunte |
| 2025 | ESANN | Adaptive Locally Aligned Ant Technique for Manifold Detection and Denoising. | Felipe Contreras, Kerstin Bunte, Reynier Peletier |
| 2025 | ESANN | Solar Panel Segmentation on Aerial Images using Color and Elevation Information. | Gerrit Luimstra, Kerstin Bunte |
| 2024 | MICCAI | MRI-Based Head and Neck Tumor Segmentation Using nnU-Net with 15-Fold Cross-Validation Ensemble. | Frank N. Mol, Luuk van der Hoek, Baoqiang Ma, Bharath Chowdhary Nagam, Nanna Maria Sijtsema, Lisanne van Dijk, Kerstin Bunte, Rifka Vlijm, Peter M. A. van Ooijen |
| 2023 | CAIP | Towards Robust Colour Texture Classification with Limited Training Data. | Mariya Shumska, Kerstin Bunte |
| 2023 | ESANN | Improved the locally aligned ant technique (LAAT) strategy to recover manifolds embedded in strong noise. | Felipe Contreras, Kerstin Bunte, Reynier Peletier |
| 2023 | ESANN | Multispectral Texture Classification in Agriculture. | Mariya Shumska, Kerstin Bunte |
| 2022 | ESANN | Adaptive Gabor Filters for Interpretable Color Texture Classification. | Gerrit Luimstra, Kerstin Bunte |
| 2022 | IJCNN | An Industry 4.0 example: real-time quality control for steel-based mass production using Machine Learning on non-invasive sensor data. | Michiel Straat, Kevin Koster, Nick Goet, Kerstin Bunte |
| 2021 | IDEAL | Tracking the Temporal-Evolution of Supernova Bubbles in Numerical Simulations. | Marco Canducci, Abolfazl Taghribi, Michele Mastropietro, Sven De Rijcke, Reynier Peletier, Kerstin Bunte, Peter Tino |
| 2020 | ESANN | ASAP - A Sub-sampling Approach for Preserving Topological Structures. | Abolfazl Taghribi, Kerstin Bunte, Michele Mastropietro, Sven De Rijcke, Peter Tio |
| 2020 | IJCNN | Visualisation and knowledge discovery from interpretable models. | Sreejita Ghosh, Peter Tio, Kerstin Bunte |
| 2020 | IDEAL | Multi-agent Based Manifold Denoising. | Mohammad Mohammadi, Kerstin Bunte |
| 2019 | ESANN | Efficient learning of email similarities for customer support. | Jelle Bakker, Kerstin Bunte |
| 2018 | ESANN | Machine learning and data analysis in astroinformatics. | Michael Biehl, Kerstin Bunte, Giuseppe Longo, Peter Tio |
| 2018 | ESANN | Globular Cluster Detection in the Gaia Survey. | Mohammad Mohammadi, Reynier Peletier, Frank-Michael Schleif, Nicolai Petkov, Kerstin Bunte |
| 2017 | ESANN | Comparison of strategies to learn from imbalanced classes for computer aided diagnosis of inborn steroidogenic disorders. | Sreejita Ghosh, Elizabeth Sarah Baranowski, Rick van Veen, Gert-Jan de Vries, Michael Biehl, Wiebke Arlt, Peter Tio, Kerstin Bunte |
| 2015 | ESANN | Unsupervised dimensionality reduction: the challenge of big data visualization. | Kerstin Bunte, John Aldo Lee |
| 2014 | AAAI | Optimal Neighborhood Preserving Visualization by Maximum Satisfiability. | Kerstin Bunte, Matti Jrvisalo, Jeremias Berg, Petri Myllymki, Jaakko Peltonen, Samuel Kaski |
| 2013 | ESANN | Soft rank neighbor embeddings. | Marc Strickert, Kerstin Bunte |
| 2012 | ESANN | Adaptive learning for complex-valued data. | Kerstin Bunte, Frank-Michael Schleif, Michael Biehl |
| 2012 | IJCNN | Large margin linear discriminative visualization by Matrix Relevance Learning. | Michael Biehl, Kerstin Bunte, Frank-Michael Schleif, Petra Schneider, Thomas Villmann |
| 2012 | PST | Visualization of processes in self-learning systems. | Gabriele Peters, Kerstin Bunte, Marc Strickert, Michael Biehl, Thomas Villmann |
| 2011 | CAIP | Adaptive Matrices for Color Texture Classification. | Kerstin Bunte, Ioannis Giotis, Nicolai Petkov, Michael Biehl |
| 2011 | CIDM | Dimensionality reduction mappings. | Kerstin Bunte, Michael Biehl, Barbara Hammer |
| 2011 | ESANN | Supervised dimension reduction mappings. | Kerstin Bunte, Michael Biehl, Barbara Hammer |
| 2011 | ESANN | Mathematical Foundations of the Self Organized Neighbor Embedding (SONE) for Dimension Reduction and Visualization. | Kerstin Bunte, Frank-Michael Schleif, Sven Haase, Thomas Villmann |
| 2010 | ESANN | Exploratory Observation Machine (XOM) with Kullback-Leibler Divergence for Dimensionality Reduction and Visualization. | Kerstin Bunte, Barbara Hammer, Thomas Villmann, Michael Biehl, Axel Wismller |
| 2009 | CAIP | Nonlinear Dimension Reduction and Visualization of Labeled Data. | Kerstin Bunte, Barbara Hammer, Michael Biehl |
| 2009 | ESANN | Adaptive Metrics for Content Based Image Retrieval in Dermatology. | Kerstin Bunte, Michael Biehl, Nicolai Petkov, Marcel F. Jonkman |
| 2009 | ESANN | Nonlinear Discriminative Data Visualization. | Kerstin Bunte, Barbara Hammer, Petra Schneider, Michael Biehl |