Theodora S. Brisimi

Publication Activity (10 Years)

Years Active: 2015-2021
Publications (10 Years): 9

Top Topics

Electronic Health Records

Decision Support

Multiclass Classification

Fraud Detection

Top Venues

Int. J. Medical Informatics

Ann. Oper. Res.

Publications

Simone Bottoni, Stefano Braghin, Theodora S. Brisimi, Alberto Trombetta
Privacy-Preserving Distributed Support Vector Machines. Poly/DMAH@VLDB (2021)
Theodora S. Brisimi, Vanessa López, Valentina Rho, Marco Luca Sbodio, Gabriele Picco, Morten Kristiansen, John Segrave-Daly, Conor Cullen
Ontology-Guided Policy Information Extraction for Healthcare Fraud Detection. MIE (2020)
Vanessa López, Valentina Rho, Theodora S. Brisimi, Fabrizio Cucci, Morten Kristiansen, John Segrave-Daly, Jillian Scalvini, John Davis, Grace Ferguson
Benefit Graph Extraction from Healthcare Policies. ISWC (2) (2019)
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 (2018)
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 (2018)
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. Proc. IEEE 106 (4) (2018)
Panagiotis D. Zervopoulos, Theodora S. Brisimi, Ali Emrouznejad, Gang Cheng
Performance measurement with multiple interrelated variables and threshold target levels: Evidence from retail firms in the US. Eur. J. Oper. Res. 250 (1) (2016)
Theodora S. Brisimi, Christos G. Cassandras, Chris Osgood, Ioannis Ch. Paschalidis, Yue Zhang
Sensing and Classifying Roadway Obstacles in Smart Cities: The Street Bump System. IEEE Access 4 (2016)
Tingting Xu, Theodora S. Brisimi, Taiyao Wang, Wuyang Dai, Ioannis Ch. Paschalidis
A joint sparse clustering and classification approach with applications to hospitalization prediction. CDC (2016)
Wuyang Dai, Theodora S. Brisimi, William G. Adams, Theofanie Mela, Venkatesh Saligrama, Ioannis Ch. Paschalidis
Prediction of hospitalization due to heart diseases by supervised learning methods. Int. J. Medical Informatics 84 (3) (2015)
Seong-Cheol Kang, Theodora S. Brisimi, Ioannis Ch. Paschalidis
Distribution-dependent robust linear optimization with applications to inventory control. Ann. Oper. Res. 231 (1) (2015)
Theodora S. Brisimi, Setareh Ariafar, Yue Zhang, Christos G. Cassandras, Ioannis Ch. Paschalidis
Sensing and classifying roadway obstacles: The street bump anomaly detection and decision support system. CASE (2015)