| Hierarchical nearest neighbor graph embedding for efficient dimensionality reduction S Sarfraz, M Koulakis, C Seibold, R Stiefelhagen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 12 | 2022 |
| Is My Driver Observation Model Overconfident? Input-Guided Calibration Networks for Reliable and Interpretable Confidence Estimates A Roitberg, K Peng, D Schneider, K Yang, M Koulakis, M Martinez, ... IEEE Transactions on Intelligent Transportation Systems 23 (12), 25271-25286, 2022 | 9 | 2022 |
| Affect-DML: Context-Aware One-Shot Recognition of Human Affect using Deep Metric Learning K Peng, A Roitberg, D Schneider, M Koulakis, K Yang, R Stiefelhagen 2021 16th IEEE International Conference on Automatic Face and Gesture …, 2021 | 3 | 2021 |
| Position Paper: Quo Vadis, Unsupervised Time Series Anomaly Detection? MS Sarfraz, MY Chen, L Layer, K Peng, M Koulakis arXiv preprint arXiv:2405.02678, 2024 | | 2024 |
| Hierarchical Nearest Neighbor Graph Embedding for Efficient Dimensionality Reduction M Saquib Sarfraz, M Koulakis, C Seibold, R Stiefelhagen arXiv e-prints, arXiv: 2203.12997, 2022 | | 2022 |
| Coding into Inner Models at the Level of Strong Cardinals. M Koulakis Bull. Symb. Log. 24 (4), 456, 2018 | | 2018 |
| Coding when the strong cardinals of K are below ωV M Koulakis | | 2012 |
| Large cardinals and elementary embeddings of V M Koulakis, A Tzouvaras | | |
Rainer StiefelhagenKarlsruhe Institute of Technology, Karlsruhe, Germanykit.edu의 이메일 확인됨
