Federated learning of predictive models from federated electronic health records TS Brisimi, R Chen, T Mela, A Olshevsky, IC Paschalidis, W Shi International journal of medical informatics 112, 59-67, 2018 | 875 | 2018 |
Congestion-dependent pricing of network services IC Paschalidis, JN Tsitsiklis IEEE/ACM transactions on networking 8 (2), 171-184, 2000 | 492 | 2000 |
Localization algorithms and strategies for wireless sensor networks: monitoring and surveillance techniques for target tracking: monitoring and surveillance techniques for … G Mao, B Fidan IGI Global, 2009 | 468 | 2009 |
Systems & Control for the future of humanity, research agenda: Current and future roles, impact and grand challenges F Lamnabhi-Lagarrigue, A Annaswamy, S Engell, A Isaksson, ... Annual Reviews in Control 43, 1-64, 2017 | 350 | 2017 |
Achieving reliability and high accuracy in automated protein docking: ClusPro, PIPER, SDU, and stability analysis in CAPRI rounds 13–19 D Kozakov, DR Hall, D Beglov, R Brenke, SR Comeau, Y Shen, K Li, ... Proteins: Structure, Function, and Bioinformatics 78 (15), 3124-3130, 2010 | 292 | 2010 |
Optimization of multiclass queueing networks: Polyhedral and nonlinear characterizations of achievable performance D Bertsimas, IC Paschalidis, JN Tsitsiklis The Annals of Applied Probability 4 (1), 43-75, 1994 | 219 | 1994 |
Data-driven estimation in equilibrium using inverse optimization D Bertsimas, V Gupta, IC Paschalidis Mathematical Programming 153, 595-633, 2015 | 207 | 2015 |
Prediction of hospitalization due to heart diseases by supervised learning methods W Dai, TS Brisimi, WG Adams, T Mela, V Saligrama, IC Paschalidis International journal of medical informatics 84 (3), 189-197, 2015 | 180 | 2015 |
Inverse optimization: A new perspective on the Black-Litterman model D Bertsimas, V Gupta, IC Paschalidis Operations research 60 (6), 1389-1403, 2012 | 156 | 2012 |
Pricing in multiservice loss networks: static pricing, asymptotic optimality and demand substitution effects IC Paschalidis, Y Liu IEEE/ACM Transactions On Networking 10 (3), 425-438, 2002 | 155 | 2002 |
A robust learning approach for regression models based on distributionally robust optimization R Chen, IC Paschalidis Journal of Machine Learning Research 19 (13), 1-48, 2018 | 141 | 2018 |
Botnet detection based on anomaly and community detection J Wang, IC Paschalidis IEEE Transactions on Control of Network Systems 4 (2), 392-404, 2016 | 122 | 2016 |
Spatio-temporal network anomaly detection by assessing deviations of empirical measures IC Paschalidis, G Smaragdakis IEEE/ACM Transactions On Networking 17 (3), 685-697, 2008 | 111 | 2008 |
Probabilistic service level guarantees in make-to-stock manufacturing systems D Bertsimas, IC Paschalidis Operations Research 49 (1), 119-133, 2001 | 103 | 2001 |
Designing metabolic division of labor in microbial communities M Thommes, T Wang, Q Zhao, IC Paschalidis, D Segrè MSystems 4 (2), 10.1128/msystems. 00263-18, 2019 | 96 | 2019 |
Clinical concept extraction with contextual word embedding H Zhu, IC Paschalidis, A Tahmasebi arXiv preprint arXiv:1810.10566, 2018 | 95 | 2018 |
Predicting chronic disease hospitalizations from electronic health records: an interpretable classification approach TS Brisimi, T Xu, T Wang, W Dai, WG Adams, IC Paschalidis Proceedings of the IEEE 106 (4), 690-707, 2018 | 95 | 2018 |
Demand-side management for regulation service provisioning through internal pricing IC Paschalidis, B Li, MC Caramanis IEEE Transactions on Power Systems 27 (3), 1531-1539, 2012 | 94 | 2012 |
Asymptotic buffer overflow probabilities in multiclass multiplexers: An optimal control approach D Bertsimas, IC Paschalidis, JN Tsitsiklis IEEE Transactions on Automatic Control 43 (3), 315-335, 1998 | 93 | 1998 |
Sensing and classifying roadway obstacles in smart cities: The street bump system TS Brisimi, CG Cassandras, C Osgood, IC Paschalidis, Y Zhang IEEE Access 4, 1301-1312, 2016 | 86 | 2016 |