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Theodora S. Brisimi
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2020 – today
- 2021
- [c5]Simone Bottoni, Stefano Braghin
, Theodora S. Brisimi, Alberto Trombetta:
Privacy-Preserving Distributed Support Vector Machines. Poly/DMAH@VLDB 2021: 85-102 - 2020
- [c4]Theodora S. Brisimi, Vanessa López
Ontology-Guided Policy Information Extraction for Healthcare Fraud Detection. MIE 2020: 879-883
2010 – 2019
- 2019
- [c3]Vanessa López
Benefit Graph Extraction from Healthcare Policies. ISWC (2) 2019: 471-489 - 2018
- [j6]Theodora S. Brisimi, Ruidi Chen, Theofanie Mela, Alex Olshevsky, Ioannis Ch. Paschalidis, Wei Shi:
Federated learning of predictive models from federated Electronic Health Records. Int. J. Medical Informatics 112: 59-67 (2018) - [j5]Theodora S. Brisimi
Predicting Chronic Disease Hospitalizations from Electronic Health Records: An Interpretable Classification Approach. Proc. IEEE 106(4): 690-707 (2018) - [i1]Theodora S. Brisimi, Tingting Xu, Taiyao Wang, Wuyang Dai, William G. Adams, Ioannis Ch. Paschalidis:
Predicting Chronic Disease Hospitalizations from Electronic Health Records: An Interpretable Classification Approach. CoRR abs/1801.01204 (2018) - 2017
- [b1]Theodora S. Brisimi:
Centralized and distributed learning methods for predictive health analytics. Boston University, USA, 2017 - 2016
- [j4]Theodora S. Brisimi, Christos G. Cassandras
Sensing and Classifying Roadway Obstacles in Smart Cities: The Street Bump System. IEEE Access 4: 1301-1312 (2016) - [j3]Panagiotis D. Zervopoulos
Performance measurement with multiple interrelated variables and threshold target levels: Evidence from retail firms in the US. Eur. J. Oper. Res. 250(1): 262-272 (2016) - [c2]Tingting Xu
A joint sparse clustering and classification approach with applications to hospitalization prediction. CDC 2016: 4566-4571 - 2015
- [j2]Seong-Cheol Kang, Theodora S. Brisimi, Ioannis Ch. Paschalidis:
Distribution-dependent robust linear optimization with applications to inventory control. Ann. Oper. Res. 231(1): 229-263 (2015) - [j1]Wuyang Dai, Theodora S. Brisimi, William G. Adams, Theofanie Mela, Venkatesh Saligrama
Prediction of hospitalization due to heart diseases by supervised learning methods. Int. J. Medical Informatics 84(3): 189-197 (2015) - [c1]Theodora S. Brisimi, Setareh Ariafar, Yue Zhang, Christos G. Cassandras
Sensing and classifying roadway obstacles: The street bump anomaly detection and decision support system. CASE 2015: 1288-1293
Coauthor Index
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