Joshua L. Proctor

According to our database, Joshua L. Proctor authored at least 14 papers between 2007 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Insights into population behavior during the COVID-19 pandemic from cell phone mobility data and manifold learning.

Roman Levin, Dennis L. Chao, Edward A. Wenger, Joshua L. Proctor

Nat. Comput. Sci., 2021

2020

Tracking progress towards malaria elimination in China: Individual-level estimates of transmission and its spatiotemporal variation using a diffusion network approach.

Isobel Routledge, Shengjie Lai, Katherine E. Battle, Azra C. Ghani, Manuel Gomez-Rodriguez, Kyle Gustafson, Swapnil Mishra, Juliette Unwin, Joshua L. Proctor, Andrew J. Tatem, Zhongjie Li, Samir Bhatt

PLoS Comput. Biol., 2020

2019

Compartmental Modeling Software: A Fast, Discrete Stochastic Framework for Biochemical and Epidemiological Simulation.

Christopher W. Lorton, Joshua L. Proctor, Min K. Roh, Philip A. Welkhoff

Proceedings of the Computational Methods in Systems Biology, 2019

2018

Generalizing Koopman Theory to Allow for Inputs and Control.

Joshua L. Proctor, Steven L. Brunton, J. Nathan Kutz

SIAM J. Appl. Dyn. Syst., 2018

Applied Koopman Theory for Partial Differential Equations and Data-Driven Modeling of Spatio-Temporal Systems.

J. Nathan Kutz, Joshua L. Proctor, Steven L. Brunton

Complex., 2018

The effects of feedback on stability and maneuverability of a phase-reduced model for cockroach locomotion.

Joshua L. Proctor, P. Holmes

Biol. Cybern., 2018

2017

Spatiotemporal Feedback and Network Structure Drive and Encode Caenorhabditis elegans Locomotion.

James M. Kunert, Joshua L. Proctor, Steven L. Brunton, J. Nathan Kutz

PLoS Comput. Biol., 2017

Dynamic mode decomposition for compressive system identification.

Zhe Bai, Eurika Kaiser, Joshua L. Proctor, J. Nathan Kutz, Steven L. Brunton

CoRR, 2017

2016

Inferring Biological Networks by Sparse Identification of Nonlinear Dynamics.

Niall M. Mangan, Steven L. Brunton, Joshua L. Proctor, J. Nathan Kutz

IEEE Trans. Mol. Biol. Multi Scale Commun., 2016

Sparse Sensor Placement Optimization for Classification.

Bingni W. Brunton, Steven L. Brunton, Joshua L. Proctor, J. Nathan Kutz

SIAM J. Appl. Math., 2016

Dynamic Mode Decomposition with Control.

Joshua L. Proctor, Steven L. Brunton, J. Nathan Kutz

SIAM J. Appl. Dyn. Syst., 2016

Dynamic mode decomposition - data-driven modeling of complex systems.

J. Nathan Kutz, Steven L. Brunton, Bingni W. Brunton, Joshua L. Proctor

SIAM, ISBN: 978-1-611-97449-2, 2016

2013

Optimal Sensor Placement and Enhanced Sparsity for Classification.

Bingni W. Brunton, Steven L. Brunton, Joshua L. Proctor, J. Nathan Kutz

CoRR, 2013

2007

Averaged models for passive mode-locking using nonlinear mode-coupling.

Joshua L. Proctor, J. Nathan Kutz

Math. Comput. Simul., 2007