Senior Research Scientist
Group Involvement, NEC Laboratories Europe
Human-Centric AI Group
Research Interests
Prototype-based Machine Learning
Interpretable Machine Learning
Computer Vision
Publications
- Julius Voigt, Sascha Saralajew, Marika Kaden, Katrin Sophie Bohnsack, Lynn Reuss, Thomas Villmann. Biologically-informed shallow classification learning integrating pathway knowledge. The 17th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC) 2024.
- Sascha Saralajew, Ammar Shaker, Zhao Xu, Kiril Gashteovski, Bhushan Kotnis, Wiem Ben Rim, JĂĽrgen Quittek, Carolin Lawrence. A Human-Centric Assessment Framework for AI. International Conference on Machine Learning (ICML) Workshop on Human-Machine Collaboration and Teaming 2022.
- Sascha Saralajew, Lars Ohnemus, Lukas Ewecker, Ebubekir Asan, Simon Isele, Stefan Roos. A Dataset for Provident Vehicle Detection at Night. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021.
- Emilio Oldenziel, Lars Ohnemus, Sascha Saralajew. Provident detection of vehicles at night. 2020 IEEE Intelligent Vehicles Symposium (IV), 2020.
- Sascha Saralajew, Lars Holdijk, Thomas Villmann. Fast adversarial robustness certification of nearest prototype classifiers for arbitrary seminorms. Advances in Neural Information Processing Systems (NeurIPS), 2020.
- Sascha Saralajew, Lars Holdijk, Maike Rees, Ebubekir Asan, Thomas Villmann. Classification-by-components: Probabilistic modeling of reasoning over a set of components. Advances in Neural Information Processing Systems (NeurIPS), 2019.
- Sascha Saralajew, Thomas Villmann. Adaptive tangent distances in generalized learning vector quantization for transformation and distortion invariant classification learning. 2016 International Joint Conference on Neural Networks (IJCNN), 2016.