| 2025 | ESANN | INAM: Image-Scale Neural Additive Models. | Jana Hls, Jan-Ole Perschewski, Sebastian Stober |
| 2025 | ICIAP | Privacy Through Data-Efficiency: Sparse Temporal Difference Videos for Emotion Classification Utilizing Vision Transformers. | Fabian Krause, Robert Brunstein, Sebastian Stober |
| 2025 | IJCNN | Intersectional Bias Quantification in Facial Image Processing with Pre-Trained ImageNet Classifiers. | Valerie Krug, Florian Rhrbein, Sebastian Stober |
| 2025 | Interspeech | StutterCut: Uncertainty-Guided Normalised Cut for Dysfluency Segmentation. | Suhita Ghosh, Mlanie Jouaiti, Jan-Ole Perschewski, Sebastian Stober |
| 2025 | MICCAI | From Lines to Shapes: Geometric-Constrained Segmentation of X-Ray Collimators via Hough Transform. | Benjamin El-Zein, Dominik Eckert, Andreas Fieselmann, Christopher Syben, Ludwig Ritschl, Steffen Kappler, Sebastian Stober |
| 2025 | MICCAI | Guided Active Learning for Medical Image Segmentation. | Bernhard Fllmer, Vladimir Serafimoski, Kenrick Schulze, Federico Biavati, Sebastian Stober, Wojciech Samek, Marc Dewey |
| 2024 | ICANN | T-DVAE: A Transformer-Based Dynamical Variational Autoencoder for Speech. | Jan-Ole Perschewski, Sebastian Stober |
| 2024 | ICML | Tilt your Head: Activating the Hidden Spatial-Invariance of Classifiers. | Johann Schmidt, Sebastian Stober |
| 2024 | Interspeech | Anonymising Elderly and Pathological Speech: Voice Conversion Using DDSP and Query-by-Example. | Suhita Ghosh, Mlanie Jouaiti, Arnab Das, Yamini Sinha, Tim Polzehl, Ingo Siegert, Sebastian Stober |
| 2023 | AIED | Trustworthy Academic Risk Prediction with Explainable Boosting Machines. | Vegenshanti Dsilva, Johannes Schleiss, Sebastian Stober |
| 2023 | Interspeech | Emo-StarGAN: A Semi-Supervised Any-to-Many Non-Parallel Emotion-Preserving Voice Conversion. | Suhita Ghosh, Arnab Das, Yamini Sinha, Ingo Siegert, Tim Polzehl, Sebastian Stober |
| 2022 | AIED | Protecting Student Data in ML Pipelines: An Overview of Privacy-Preserving ML. | Johannes Schleiss, Kolja Gnther, Sebastian Stober |
| 2022 | ICANN | Neural-Gas VAE. | Jan-Ole Perschewski, Sebastian Stober |
| 2020 | ETFA | Analyzing Regions of Safety for Handling Shared Data in Cooperative Systems. | Georg Jger, Johannes Schleiss, Sasiporn Usanavasin, Sebastian Stober, Sebastian Zug |
| 2020 | SMC | Balancing Active Inference and Active Learning with Deep Variational Predictive Coding for EEG. | Andr Ofner, Sebastian Stober |
| 2019 | CoNLL | Window-Based Neural Tagging for Shallow Discourse Argument Labeling. | Ren Knaebel, Manfred Stede, Sebastian Stober |
| 2018 | EMNLP | Introspection for convolutional automatic speech recognition. | Andreas Krug, Sebastian Stober |
| 2017 | ICASSP | Learning discriminative features from electroencephalography recordings by encoding similarity constraints. | Sebastian Stober |
| 2017 | MMM | Exploring Large Movie Collections: Comparing Visual Berrypicking and Traditional Browsing. | Thomas Low, Christian Hentschel, Sebastian Stober, Harald Sack, Andreas Nrnberger |
| 2014 | NordiCHI | Visual berrypicking in large image collections. | Thomas Low, Christian Hentschel, Sebastian Stober, Harald Sack, Andreas Nrnberger |
| 2013 | GI | Sprachgesteuerte Suchwerkzeuge fr Junge Nutzer. | Tatiana Gossen, Michael Kotzyba, Sebastian Stober, Andreas Nrnberger |
| 2010 | IJCNN | Multi-facet exploration of image collections with an adaptive multi-focus zoomable interface. | Sebastian Stober, Christian Hentschel, Andreas Nrnberger |
| 2010 | NordiCHI | Evaluation of adaptive SpringLens: a multi-focus interface for exploring multimedia collections. | Sebastian Stober, Christian Hentschel, Andreas Nrnberger |
| 2008 | CBMI | Enhancing chord classification through neighbourhood histograms. | Johannes Reinhard, Sebastian Stober, Andreas Nrnberger |
| 2006 | KES | DAWN - A System for Context-Based Link Recommendation in Web Navigation. | Sebastian Stober, Andreas Nrnberger |