Ioannis Ch. Paschalidis
Ioannis Ch. Paschalidis
Distinguished Professor of Engineering, Director of the Hariri Institute, Boston University
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Citata da
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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
Congestion-dependent pricing of network services
IC Paschalidis, JN Tsitsiklis
IEEE/ACM transactions on networking 8 (2), 171-184, 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
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
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
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
Data-driven estimation in equilibrium using inverse optimization
D Bertsimas, V Gupta, IC Paschalidis
Mathematical Programming 153, 595-633, 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
Inverse optimization: A new perspective on the Black-Litterman model
D Bertsimas, V Gupta, IC Paschalidis
Operations research 60 (6), 1389-1403, 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
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
Botnet detection based on anomaly and community detection
J Wang, IC Paschalidis
IEEE Transactions on Control of Network Systems 4 (2), 392-404, 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
Probabilistic service level guarantees in make-to-stock manufacturing systems
D Bertsimas, IC Paschalidis
Operations Research 49 (1), 119-133, 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
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
Clinical concept extraction with contextual word embedding
H Zhu, IC Paschalidis, A Tahmasebi
arXiv preprint arXiv:1810.10566, 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
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
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
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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