Estimation of moving obstacle dynamics with mobile RGB-D camera SB Germi, A Zamanian, MA Arzati, MA Khosravi, R FesharakiFard 2017 5th RSI International Conference on Robotics and Mechatronics (ICRoM …, 2017 | 5 | 2017 |
Assessable and interpretable sensitivity analysis in the pattern graph framework for nonignorable missingness mechanisms A Zamanian, N Ahmidi, M Drton Statistics in Medicine 42 (29), 5419-5450, 2023 | 2 | 2023 |
Evaluation of Active Feature Acquisition Methods for Time-varying Feature Settings H von Kleist, A Zamanian, I Shpitser, N Ahmidi arXiv preprint arXiv:2312.01530, 2023 | 2 | 2023 |
Post-hoc Saliency Methods Fail to Capture Latent Feature Importance in Time Series Data M Schröder, A Zamanian, N Ahmidi International Workshop on Trustworthy Machine Learning for Healthcare, 106-121, 2023 | 2 | 2023 |
Early-, late-, and very late-term prediction of target lesion failure in coronary artery stent patients: An international multi-site study E Pachl, A Zamanian, M Stieler, C Bahr, N Ahmidi Applied Sciences 11 (15), 6986, 2021 | 2 | 2021 |
Evaluation of Active Feature Acquisition Methods for Static Feature Settings H von Kleist, A Zamanian, I Shpitser, N Ahmidi arXiv preprint arXiv:2312.03619, 2023 | 1 | 2023 |
Partially Specified Causal Simulations A Zamanian, L Mareis, N Ahmidi arXiv preprint arXiv:2309.10514, 2023 | 1 | 2023 |
What about the Latent Space? The Need for Latent Feature Saliency Detection in Deep Time Series Classification M Schröder, A Zamanian, N Ahmidi Machine Learning and Knowledge Extraction 5 (2), 539-559, 2023 | 1 | 2023 |
The European Artificial Intelligence Act IKS Fraunhofer, L Heidemann, B Herd, J Kelly, N Mata, W Tsai, S Zafar, ... | | 2024 |
Analysis of Missingness Scenarios for Observational Health Data A Zamanian, H von Kleist, OA Ciora, M Piperno, G Lancho, N Ahmidi Journal of Personalized Medicine 14 (5), 514, 2024 | | 2024 |