John N. Maidens

Orcid: 0000-0001-8211-7699

Affiliations:
  • Ryerson University, Toronto, Ontario, Canada


According to our database1, John N. Maidens authored at least 20 papers between 2012 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2020
Experimental Results on the Impact of Memory in Neural Networks for Spectrum Prediction in Land Mobile Radio Bands.
IEEE Trans. Cogn. Commun. Netw., 2020

2019
Neural Network Based Spectrum Prediction in Land Mobile Radio Bands for IoT deployments.
Proceedings of the IFIP/IEEE International Symposium on Integrated Network Management, 2019

Predicting Commentaries on a Financial Report with Recurrent Neural Networks.
Proceedings of the Advances in Artificial Intelligence, 2019

2018
Spatio-Temporally Constrained Reconstruction for Hyperpolarized Carbon-13 MRI Using Kinetic Models.
IEEE Trans. Medical Imaging, 2018

Exploiting Symmetry for Discrete-Time Reachability Computations.
IEEE Control. Syst. Lett., 2018

Symmetry reduction for dynamic programming.
Autom., 2018

An Improvement to Test Case Failure Prediction in the Context of Test Case Prioritization.
Proceedings of the 14th International Conference on Predictive Models and Data Analytics in Software Engineering, 2018

Simulation-Based Reachability Analysis for Nonlinear Systems Using Componentwise Contraction Properties.
Proceedings of the Principles of Modeling, 2018

2017
Optimal Control for Learning with Applications in Dynamic MRI.
PhD thesis, 2017

Symmetry reduction for dynamic programming and application to MRI.
Proceedings of the 2017 American Control Conference, 2017

2016
Optimizing Flip Angles for Metabolic Rate Estimation in Hyperpolarized Carbon-13 MRI.
IEEE Trans. Medical Imaging, 2016

Parallel dynamic programming for optimal experiment design in nonlinear systems.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Semidefinite relaxations in optimal experiment design with application to substrate injection for hyperpolarized MRI.
Proceedings of the 2016 American Control Conference, 2016

2015
Reachability Analysis of Nonlinear Systems Using Matrix Measures.
IEEE Trans. Autom. Control., 2015

A note on optimal experiment design for nonlinear systems using dynamic programming.
CoRR, 2015

Optimal experiment design for physiological parameter estimation using hyperpolarized carbon-13 magnetic resonance imaging.
Proceedings of the American Control Conference, 2015

2014
Trajectory-based reachability analysis of switched nonlinear systems using matrix measures.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013
Lagrangian methods for approximating the viability kernel in high-dimensional systems.
Autom., 2013

Global Lyapunov functions and a hierarchical control scheme for networks of robotic agents.
Proceedings of the American Control Conference, 2013

2012
Computing the viability kernel using maximal reachable sets.
Proceedings of the Hybrid Systems: Computation and Control (part of CPS Week 2012), 2012


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