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Jorge Francisco Barreras
Jorge Francisco Barreras
5th Year PhD Student, University of Pennsylvania
Verified email at sas.upenn.edu
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Cited by
Year
A dedicated lumbar puncture clinic: performance and short-term patient outcomes
P Barreras, DR Benavides, JF Barreras, CA Pardo, A Jani, R Faigle, ...
Journal of neurology 264, 2075-2080, 2017
182017
Multitask learning and nonlinear optimal control of the COVID-19 outbreak: A geometric programming approach
M Hayhoe, F Barreras, VM Preciado
Annual reviews in control 52, 495-507, 2021
162021
A comparison of different crime prediction models for Bogotá
F Barreras, C Díaz, Á Riascos, M Ribero
Documentos CEDE 34, 2016
142016
Data-driven control of the COVID-19 outbreak via non-pharmaceutical interventions: A geometric programming approach
M Hayhoe, F Barreras, VM Preciado
arXiv preprint arXiv:2011.01392, 2020
102020
Comparación de diferentes modelos para la predicción del crimen en bogotá
F Barreras, C Díaz, ÁJ Riascos, M Ribero
Economía y seguridad en el posconflicto, 209, 2018
102018
SPECTRE: Seedless network alignment via spectral centralities
M Hayhoe, F Barreras, H Hassani, VM Preciado
arXiv preprint arXiv:1811.01056, 2018
52018
A dynamical approach to efficient eigenvalue estimation in general multiagent networks
M Hayhoe, F Barreras, VM Preciado
Automatica 140, 110234, 2022
22022
Measure-theoretic bounds on the spectral radius of graphs from walks
F Barreras, M Hayhoe, H Hassani, VM Preciado
Linear Algebra and its Applications 625, 126-145, 2021
22021
Sparse estimation of Laplacian eigenvalues in multiagent networks
M Hayhoe, F Barreras, VM Preciado
IFAC-PapersOnLine 53 (2), 1043-1048, 2020
22020
New bounds on the spectral radius of graphs based on the moment problem
F Barreras, M Hayhoe, H Hassani, VM Preciado
arXiv preprint arXiv:1911.05169, 2019
22019
Una comparación de diferentes modelos para la predicción del crimen en bogotá (a comparison of different crime prediction models for bogotá)
F Barreras, C Diaz, A Riascos, M Ribero
Documento CEDE, 2016
22016
AutoEKF: Scalable System Identification for COVID-19 Forecasting from Large-Scale GPS Data
F Barreras, M Hayhoe, H Hassani, VM Preciado
arXiv preprint arXiv:2106.14357, 2021
12021
Improving transparency of the Colombian Peace Treaty with NLP
F Barreras, M Ribero, F Suárez
Quantil Documentos de Trabajo, 2017
12017
Screening Multiple Uninformed Experts
F Barreras
Quantil Documentos de Trabajo, 2017
2017
Una comparación de diferentes modelos para la predicción del crimen en Bogotá
F Barreras, C Díaz, ÁJR Villegas, M Ribero
2016
Screening Multiple Potentially False Ex-perts
F Barreras, AJ Riascos
Monografías, 2016
2016
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Articles 1–16