Publications

See my Google Scholar profile for a comprehensive list

• • R. van de Water, H. Schmidt, P. Elbers, P. Thoral, B. Arnrich, and P. Rockenschaub, ‘Yet Another ICU Benchmark: A Flexible Multi-Center Framework for Clinical ML’. arXiv, Jun. 08, 2023. Available: http://arxiv.org/abs/2306.05109, accepted at the 12th International Conference on Learning Representations (ICLR) 2024.
• B. Arnrich, E. Choi, J.A. Fries, M.B.A. McDermott, J.Oh, T.J. Pollard, N. Shah, E. Steinberg, M. Wornow, R. van de Water, (MEDS working group, alpabethized authors) An ML-oriented Interface for Medical Record Datasets, https://github.com/Medical-Event-Data-Standard, accepted at Time Series for Health (TS4H) at ICLR 2024
• R.van de Water, A. Winter, M. Maurer, F. Treykorn, I. Sauer, B Pfitzner, B. Arnrich, Combining Time Series Modalities to Create Endpoint-driven Patient Records, Accepted at Workshop for Data Centric ML at ICLR 2024
• R.van de Water, A. Winter, M. Maurer, F. Treykorn, I. Sauer, B Pfitzner, B. Arnrich, Combining Hospital-grade Clinical Data and Wearable Vital Sign Monitoring to Predict Surgical Complications, Accepted at Workshop for Timeseries For Health (TS4H) at ICLR 2024
• B. Pfitzner, M. M. Maurer, A. Winter, C. Riepe, I. M. Sauer, R. van de Water, Bert Arnrich, Differentially-Private Federated Learning with Non-IID Data For Surgical Risk Prediction, First IEEE International Conference on AI for Medicine, Health, and Care (2024)
• A. Winter, R. van de Water et al., Advancing Preoperative Outcome Prediction: A Comparative Analysis of Machine Learning and ISEG Risk Score for Predicting 90-Day Mortality after Esophagectomy, 2023, accepted at the 141st Congress of the German Society of Surgery (2024)
• O. Konak, R. van de Water et al., ‘HARE: Unifying the Human Activity Recognition Engineering Workflow’, accepted at MDPI Sensors 2023
• O. Konak, A. Wischmann, R. van de Water, and B. Arnrich, ‘A Real-time Human Pose Estimation Approach for Optimal Sensor Placement in Sensor-based Human Activity Recognition’. arXiv, Jul. 06, 2023. doi: 10.48550/arXiv.2307.02906. accepted at iWOAR 2023
• R. van de Water, F. Ventura, Z. Kaoudi, J.-A. Quiané-Ruiz, and V. Markl, ‘Farming your ML-based query optimizer’s food’, in 2022 IEEE 38th international conference on data engineering (ICDE), 2022, pp. 3186–3189. (Best demo award 2022)
• R. van de Water, F. Ventura, Z. Kaoudi, J. Quiane-Ruiz, and V. Markl, ‘Farm your ML-based query optimizer’s Food!–Human-Guided training data generation–’, presented at the Conference on Innovative Data Systems Research (CIDR), 2022.
• L. Maas, M. Geurtsen, F. Nouwt, S. Schouten, R. van de Water, S. van Dulmen, F. Dalpiaz, K. van Deemter, S. Brinkkemper ‘The Care2Report system: automated medical reporting as an integrated solution to reduce administrative burden in healthcare’, in Information technology in healthcare: IT architectures and implementations in healthcare environments, Hawaii International Conference on System Sciences (HICSS), 2020.