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Other IDs

SciProfiles: 3288311
Scopus Author ID: 57853997100

Keywords

ml, timeseries, health, ICU

Countries

Germany, Netherlands

Activities

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Employment (1)

Hasso Plattner Institute: Potsdam, DE

Employment
Source: Self-asserted source
Robin van de Water

Education and qualifications (3)

Technische Universiteit Eindhoven: Eindhoven, NL

2019-09-01 to 2021-09-01 | Master of Science in Data Science in Engineering (Computer Science and Mathematics)
Education
Source: Self-asserted source
Robin van de Water

Technische Universität Berlin: Berlin, Berlin, DE

2019-09-01 to 2021-09-01 | Master of Science (Computer Science)
Education
Source: Self-asserted source
Robin van de Water

Utrecht University: Utrecht, Utrecht, NL

2016-09-01 to 2019-09-01 | Bachelor in Computer Science (Computer Science)
Education
Source: Self-asserted source
Robin van de Water

Professional activities (1)

IEEE Foundation: Piscataway, NJ, US

2022-05-11 | Best Demonstration Award (International Conference on Data Engineering)
Distinction
Source: Self-asserted source
Robin van de Water

Works (8)

Enhancing Preoperative Outcome Prediction: A Comparative Retrospective Case–Control Study on Machine Learning versus the International Esodata Study Group Risk Model for Predicting 90-Day Mortality in Oncologic Esophagectomy

Cancers
2024-08-29 | Journal article
DOI: 10.3390/cancers16173000
Contributors: Axel Winter; Robin P. van de Water; Bjarne Pfitzner; Marius Ibach; Christoph Riepe; Robert Ahlborn; Lara Faraj; Felix Krenzien; Eva M. Dobrindt; Jonas Raakow et al.
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Crossref
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A Real-time Human Pose Estimation Approach for Optimal Sensor Placement in Sensor-based Human Activity Recognition

2023 | Preprint
DOI: 10.48550/ARXIV.2307.02906
Contributors: Orhan Konak; Alexander Wischmann; Robin van de Water; Bert Arnrich
Source: Self-asserted source
Robin van de Water

Yet Another ICU Benchmark: A Flexible Multi-Center Framework for Clinical ML

arXiv
2023 | Preprint
DOI: 10.48550/ARXIV.2306.05109
ARXIV: https://doi.org/10.48550/arxiv.2306.05109
Contributors: Robin van de Water; Hendrik Schmidt; Paul Elbers; Patrick Thoral; Bert Arnrich; Patrick Rockenschaub
Source: Self-asserted source
Robin van de Water

HARE: Unifying the Human Activity Recognition Engineering Workflow

Sensors
2023-12-02 | Journal article
DOI: 10.3390/s23239571
Contributors: Orhan Konak; Robin van de Water; Valentin Döring; Tobias Fiedler; Lucas Liebe; Leander Masopust; Kirill Postnov; Franz Sauerwald; Felix Treykorn; Alexander Wischmann et al.
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Crossref
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A Real-time Human Pose Estimation Approach for Optimal Sensor Placement in Sensor-based Human Activity Recognition

2023-09-21 | Conference paper
DOI: 10.1145/3615834.3615848
Contributors: Orhan Konak; Alexander Wischmann; Robin van De Water; Bert Arnrich
Source: check_circle
Crossref

Farm Your ML-based Query Optimizer’s Food!–Human-Guided Training Data Generation–

Conference on Innovative Data Systems Research (CIDR)
Conference paper
Source: Self-asserted source
Robin van de Water

Farming Your ML-based Query Optimizer's Food

2022 IEEE 38th International Conference on Data Engineering (ICDE)
Conference paper
Source: Self-asserted source
Robin van de Water

The Care2Report System: Automated Medical Reporting as an Integrated Solution to Reduce Administrative Burden in Healthcare

Information Technology in Healthcare: IT Architectures and Implementations in Healthcare Environments
Book chapter
Source: Self-asserted source
Robin van de Water
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