| 2025 | CAIP | Adaptive Model Selection for Expanded Post Hoc Debiasing and Mitigating Varying Degrees of Spurious Correlations. | Jan Blunk, Paul Bodesheim, Joachim Denzler |
| 2025 | UAI | Probabilistic Embeddings for Frozen Vision-Language Models: Uncertainty Quantification with Gaussian Process Latent Variable Models. | Aishwarya Venkataramanan, Paul Bodesheim, Joachim Denzler |
| 2025 | VISIGRAPP | Deep Image Clustering with Model-Agnostic Meta-Learning. | Kim Bjerge, Paul Bodesheim, Henrik Karstoft |
| 2022 | ECCV | Investigating Neural Network Training on a Feature Level Using Conditional Independence. | Niklas Penzel, Christian Reimers, Paul Bodesheim, Joachim Denzler |
| 2022 | ICPR | Occlusion-Robustness of Convolutional Neural Networks via Inverted Cutout. | Matthias Krschens, Paul Bodesheim, Joachim Denzler |
| 2021 | CVPR | Conditional Dependence Tests Reveal the Usage of ABCD Rule Features and Bias Variables in Automatic Skin Lesion Classification. | Christian Reimers, Niklas Penzel, Paul Bodesheim, Jakob Runge, Joachim Denzler |
| 2021 | GI | Minimizing the Annotation Effort for Detecting Wildlife in Camera Trap Images with Active Learning. | Daphne Auer, Paul Bodesheim, Christian Fiderer, Marco Heurich, Joachim Denzler |
| 2021 | GI | Exploiting Web Images for Moth Species Classification. | Julia Bhlke, Dimitri Korsch, Paul Bodesheim, Joachim Denzler |
| 2021 | GI | Deep Learning Pipeline for Automated Visual Moth Monitoring: Insect Localization and Species Classification. | Dimitri Korsch, Paul Bodesheim, Joachim Denzler |
| 2021 | GI | Automatic Plant Cover Estimation with Convolutional Neural Networks. | Matthias Krschens, Paul Bodesheim, Christine Rmermann, Solveig Franziska Bucher, Mirco Migliavacca, Josephine Ulrich, Joachim Denzler |
| 2020 | ECCV | Towards Confirmable Automated Plant Cover Determination. | Matthias Krschens, Paul Bodesheim, Christine Rmermann, Solveig Franziska Bucher, Josephine Ulrich, Joachim Denzler |
| 2018 | IGARSS | SMOS Vegetation Optical Depth and Ecosystem Functional Properties: Exploring Their Relationships in Tropical Forests. | Gaia Vaglio Laurin, Cristina Vittucci, Gianluca Tramontana, Paul Bodesheim, Paolo Ferrazzoli, Leila Guerriero, Martin Jung, Miguel D. Mahecha, Dario Papale |
| 2015 | CVPR | Active learning and discovery of object categories in the presence of unnameable instances. | Christoph Kding, Alexander Freytag, Erik Rodner, Paul Bodesheim, Joachim Denzler |
| 2015 | IGARSS | Ranking drivers of global carbon and energy fluxes over land. | Gustau Camps-Valls, Martin Jung, Kazuhito Ichii, Dario Papale, Gianluca Tramontana, Paul Bodesheim, Christopher R. Schwalm, Jakob Zscheischler, Miguel D. Mahecha, Markus Reichstein |
| 2015 | WACV | Local Novelty Detection in Multi-class Recognition Problems. | Paul Bodesheim, Alexander Freytag, Erik Rodner, Joachim Denzler |
| 2013 | CVPR | Kernel Null Space Methods for Novelty Detection. | Paul Bodesheim, Alexander Freytag, Erik Rodner, Michael Kemmler, Joachim Denzler |
| 2012 | ACCV | Rapid Uncertainty Computation with Gaussian Processes and Histogram Intersection Kernels. | Alexander Freytag, Erik Rodner, Paul Bodesheim, Joachim Denzler |
| 2012 | BMVC | Divergence-Based One-Class Classification Using Gaussian Processes. | Paul Bodesheim, Erik Rodner, Alexander Freytag, Joachim Denzler |
| 2012 | ECCV | Large-Scale Gaussian Process Classification with Flexible Adaptive Histogram Kernels. | Erik Rodner, Alexander Freytag, Paul Bodesheim, Joachim Denzler |