Sensing and classifying roadway obstacles: The street bump anomaly detection and decision support system. - Theodora S. Brisimi; Setareh Ariafar; Yue Zhang 019; Christos G. Cassandras; Ioannis Ch. Paschalidis (CASE, 2015)

Distribution-dependent robust linear optimization with applications to inventory control. - Seong-Cheol Kang; Theodora S. Brisimi; Ioannis Ch. Paschalidis (Ann. Oper. Res., 2015)

Prediction of hospitalization due to heart diseases by supervised learning methods. - Wuyang Dai; Theodora S. Brisimi; William G. Adams; Theofanie Mela; Venkatesh Saligrama; Ioannis Ch. Paschalidis (Int. J. Medical Informatics, 2015)

A joint sparse clustering and classification approach with applications to hospitalization prediction. - Tingting Xu; Theodora S. Brisimi; Taiyao Wang; Wuyang Dai; Ioannis Ch. Paschalidis (CDC, 2016)

Sensing and Classifying Roadway Obstacles in Smart Cities: The Street Bump System. - Theodora S. Brisimi; Christos G. Cassandras; Chris Osgood; Ioannis Ch. Paschalidis; Yue Zhang 019 (IEEE Access, 2016)

Performance measurement with multiple interrelated variables and threshold target levels: Evidence from retail firms in the US. - Panagiotis D. Zervopoulos; Theodora S. Brisimi; Ali Emrouznejad; Gang Cheng (Eur. J. Oper. Res., 2016)

Centralized and distributed learning methods for predictive health analytics - Theodora S. Brisimi (2017)

Federated learning of predictive models from federated Electronic Health Records. - Theodora S. Brisimi; Ruidi Chen; Theofanie Mela; Alex Olshevsky; Ioannis Ch. Paschalidis; Wei Shi 010 (Int. J. Medical Informatics, 2018)

Predicting Chronic Disease Hospitalizations from Electronic Health Records: An Interpretable Classification Approach. - Theodora S. Brisimi; Tingting Xu; Taiyao Wang; Wuyang Dai; William G. Adams; Ioannis Ch. Paschalidis (Proc. IEEE, 2018)

Benefit Graph Extraction from Healthcare Policies. - Vanessa López; Valentina Rho; Theodora S. Brisimi; Fabrizio Cucci; Morten Kristiansen; John Segrave-Daly; Jillian Scalvini; John Davis; Grace Ferguson (ISWC (2), 2019)

Ontology-Guided Policy Information Extraction for Healthcare Fraud Detection. - Theodora S. Brisimi; Vanessa López; Valentina Rho; Marco Luca Sbodio; Gabriele Picco; Morten Kristiansen; John Segrave-Daly; Conor Cullen (MIE, 2020)

Privacy-Preserving Distributed Support Vector Machines. - Simone Bottoni; Stefano Braghin; Theodora S. Brisimi; Alberto Trombetta (Poly/DMAH@VLDB, 2021)