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2020 – today
- 2021
[c6]Melanie Hackl
, Suparno Datta, Riccardo Miotto, Erwin P. Böttinger:
Unsupervised Learning to Subphenotype Heart Failure Patients from Electronic Health Records. AIME 2021: 219-228- 2020
- [c5]Ariane Morassi Sasso, Suparno Datta, Michael Jeitler, Nico Steckhan, Christian S. Kessler, Andreas Michalsen, Bert Arnrich, Erwin P. Böttinger:
HYPE: Predicting Blood Pressure from Photoplethysmograms in a Hypertensive Population. AIME 2020: 325-335
2010 – 2019
- 2019
- [c4]Suparno Datta, Anne Schraplau, Harry Freitas Da Cruz, Jan-Philipp Sachs, Frank Mayer, Erwin P. Böttinger:
A Machine Learning Approach for Non-Invasive Diagnosis of Metabolic Syndrome. BIBE 2019: 933-940 - 2018
- [c3]Michel Oleynik, Erik Faessler, Ariane Morassi Sasso, Arpita Kappattanavar, Benjamin Bergner, Harry Freitas Da Cruz, Jan-Philipp Sachs, Suparno Datta, Erwin P. Böttinger:
HPI-DHC at TREC 2018 Precision Medicine Track. TREC 2018 - 2013
- [c2]Suparno Datta, Ayan Dutta, Sruti Gan Chaudhuri, Krishnendu Mukhopadhyaya:
Circle Formation by Asynchronous Transparent Fat Robots. ICDCIT 2013: 195-207 - 2012
- [c1]Ayan Dutta, Sruti Gan Chaudhuri, Suparno Datta, Krishnendu Mukhopadhyaya:
Circle Formation by Asynchronous Fat Robots with Limited Visibility. ICDCIT 2012: 83-93
Coauthor Index
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