| 2025 | ICLR | Bilinear MLPs enable weight-based mechanistic interpretability. | Michael T. Pearce, Thomas Dooms, Alice Rigg, Jos Oramas, Lee Sharkey |
| 2025 | WCNC | Label-Efficient Learning for Radio Frequency Fingerprint Identification. | Thayheng Nhem, Fabian Denoodt, Maarten Weyn, Michal Peeters, Jos Oramas, Rafael Berkvens |
| 2025 | WACV | Quantifying Generative Stability: Mode Collapse Entropy Score for Mode Diversity Evaluation. | Jens Duym, Jos Oramas, Ali Anwar |
| 2024 | VISIGRAPP | Deep Learning Model Compression for Resource Efficient Activity Recognition on Edge Devices: A Case Study. | Dieter Balemans, Benjamin Vandersmissen, Jan Steckel, Siegfried Mercelis, Philippe Reiter, Jos Oramas |
| 2024 | VISIGRAPP | Recognizing Actions in High-Resolution Low-Framerate Videos: A Feasibility Study in the Construction Sector. | Benjamin Vandersmissen, Arian Sabaghi, Philippe Reiter, Jos Oramas |
| 2023 | ICIP | Interpreting Convolutional Neural Networks by Explaining Their Predictions. | Toon Meynen, Hamed Behzadi-Khormouji, Jos Oramas |
| 2023 | WACV | A Protocol for Evaluating Model Interpretation Methods from Visual Explanations. | Hamed Behzadi Khormuji, Jos Oramas |
| 2022 | CIKM | AIMLAI: Advances in Interpretable Machine Learning and Artificial Intelligence. | Adrien Bibal, Tassadit Bouadi, Benot Frnay, Luis Galrraga, Jos Oramas |
| 2022 | IECON | Object Detection To Enable Autonomous Vessels On European Inland Waterways. | Mattias Billast, Robin Janssens, Astrid Vanneste, Simon Vanneste, Olivier Vasseur, Ali Anwar, Kevin Mets, Tom De Schepper, Jos Oramas, Steven Latr, Peter Hellinckx |
| 2021 | BMVC | MinMaxCAM: Improving object coverage for CAM-based Weakly Supervised Object Localization. | Kaili Wang, Jos Oramas, Tinne Tuytelaars |
| 2020 | CIKM | AIMLAI'20: Third Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence. | Adrien Bibal, Tassadit Bouadi, Benot Frnay, Luis Galrraga, Jos Oramas |