| Description-based label attention classifier for explainable ICD-9 classification M Feucht, Z Wu, S Althammer, V Tresp arXiv preprint arXiv:2109.12026, 2021 | 24 | 2021 |
| Categorical ehr imputation with generative adversarial nets Y Yang, Z Wu, V Tresp, PA Fasching 2019 IEEE International Conference on Healthcare Informatics (ICHI), 1-10, 2019 | 10 | 2019 |
| Uncertainty-aware time-to-event prediction using deep kernel accelerated failure time models Z Wu, Y Yang, PA Fashing, V Tresp Machine Learning for Healthcare Conference, 54-79, 2021 | 8 | 2021 |
| Quantifying Predictive Uncertainty in Medical Image Analysis with Deep Kernel Learning Z Wu, Y Yang, J Gu, V Tresp 2021 IEEE International Conference on Healthcare Informatics (ICHI), 2021 | 8 | 2021 |
| Introspective learning by distilling knowledge from online self-explanation J Gu, Z Wu, V Tresp Proceedings of the Asian Conference on Computer Vision, 2020 | 5 | 2020 |
| Learning Individualized Treatment Rules with Estimated Translated Inverse Propensity Score Z Wu, Y Yang, Y Ma, Y Liu, R Zhao, M Moor, V Tresp 2020 IEEE International Conference on Healthcare Informatics (ICHI), 1-11, 2020 | 2 | 2020 |
| Continuous Development and Safety Assurance Pipeline for ML-Based Systems in the Railway Domain M Zeller, T Waschulzik, C Carlan, M Serahlazau, C Bahlmann, Z Wu, ... International Conference on Computer Safety, Reliability, and Security, 446-459, 2024 | | 2024 |
| Training method for giving treatment recommendations to a physician based on a propensity score and an outcome score Z Wu, V Tresp US Patent 12,020,815, 2024 | | 2024 |
| Facilitating Change Implementation for Continuous ML-Safety Assurance CH Cheng, NAV Doan, B Balu, F Schwaiger, E Seferis, S Burton, ... arXiv preprint arXiv:2209.11632, 2022 | | 2022 |
| Representation learning for uncertainty-aware clinical decision support Z Wu lmu, 2022 | | 2022 |
Volker TrespLudwig-Maximilians-Universität München (LMU Munich)Verified email at dbs.ifi.lmu.de
