Ioannis Ch. Paschalidis

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Alex OlshevskyAssociate Professor, Boston UniversityE-mail confirmado em bu.edu
Dimitris BertsimasBoeing Professor of Operations Research, MITE-mail confirmado em mit.edu
Christos CassandrasDistinguished Professor of Engineering, Head, Division of Systems Engineering, Boston UniversityE-mail confirmado em bu.edu
Sandor VajdaProfessor of Biomedical Engineering, Boston UniversityE-mail confirmado em bu.edu
Pirooz VakiliAssociate Professor of Systems Engineering, Boston UniversityE-mail confirmado em bu.edu
John TsitsiklisProfessor of Electrical Engineering, MITE-mail confirmado em mit.edu
Dima KozakovProfessor, Department of Applied Mathematics and StatisticsE-mail confirmado em stonybrook.edu
Michael CaramanisProfessor of Mechanical and Systems Engineering, Boston UniversityE-mail confirmado em bu.edu
Taiyao WangBoston UniversityE-mail confirmado em bu.edu
Boran HaoBoston UniversityE-mail confirmado em bu.edu
Henghui ZhuAWS AIE-mail confirmado em amazon.com
Salomón Wollenstein-BetechPostdoctoral Scholar, Stanford GSBE-mail confirmado em stanford.edu
Jing Conan WangGoogle ResearchE-mail confirmado em google.com
Qi ZhaoPhD of Systems Engineering, Boston UniversityE-mail confirmado em bu.edu
Tingting XuBoston University Ph.D. in Systems EngineeringE-mail confirmado em bu.edu
Yang ShenAssociate Professor, ECE + CSE @ Texas A&M UniversityE-mail confirmado em tamu.edu
Wuyang DaiBoston University, University of MinnesotaE-mail confirmado em bu.edu
Binbin LieBay, Boston University, Tsinghua UniversityE-mail confirmado em ebay.com
Hanieh MirzaeiPhd of Systems Engineering, Boston University, Senior Software Engineer GoogleE-mail confirmado em bu.edu
Vishal GuptaMarshall School of Business, USCE-mail confirmado em usc.edu

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Ioannis Ch. Paschalidis

Distinguished Professor of Engineering, Director of the Hariri Institute, Boston University

E-mail confirmado em bu.edu - Página inicial

Optimization and Control Stochastic Systems Robust Learning Health AI Protein Modeling


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
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	1029	2018
Congestion-dependent pricing of network services IC Paschalidis, JN Tsitsiklis IEEE/ACM transactions on networking 8 (2), 171-184, 2000	495	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	467	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	395	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	297	2010
Data-driven estimation in equilibrium using inverse optimization D Bertsimas, V Gupta, IC Paschalidis Mathematical Programming 153, 595-633, 2015	227	2015
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	221	1994
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	194	2015
Inverse optimization: A new perspective on the Black-Litterman model D Bertsimas, V Gupta, IC Paschalidis Operations research 60 (6), 1389-1403, 2012	172	2012
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	170	2018
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	154	2002
Botnet detection based on anomaly and community detection J Wang, IC Paschalidis IEEE Transactions on Control of Network Systems 4 (2), 392-404, 2016	130	2016
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	117	2018
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
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	107	2019
Probabilistic service level guarantees in make-to-stock manufacturing systems D Bertsimas, IC Paschalidis Operations Research 49 (1), 119-133, 2001	105	2001
Clinical concept extraction with contextual word embedding H Zhu, IC Paschalidis, A Tahmasebi arXiv preprint arXiv:1810.10566, 2018	99	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	94	1998
Personalized predictive models for symptomatic COVID-19 patients using basic preconditions: Hospitalizations, mortality, and the need for an ICU or ventilator ICP Salomón Wollenstein-Betech, Christos G.Cassandras International Journal of Medical Informatics 142, 2020	89	2020

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