John N. Maidens

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

Collaborative distances:

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

2020

Experimental Results on the Impact of Memory in Neural Networks for Spectrum Prediction in Land Mobile Radio Bands.

Ozan Ozyegen, Sanaz Mohammadjafari, Emir Kavurmacioglu, John Maidens, Ayse Basar Bener

IEEE Trans. Cogn. Commun. Netw., 2020

2019

Neural Network Based Spectrum Prediction in Land Mobile Radio Bands for IoT deployments.

Sanaz Mohammadjafari, Emir Kavurmacioglu, John Maidens, Ayse Bener

Proceedings of the IFIP/IEEE International Symposium on Integrated Network Management, 2019

Predicting Commentaries on a Financial Report with Recurrent Neural Networks.

Karim El Mokhtari, John Maidens, Ayse Bener

Proceedings of the Advances in Artificial Intelligence, 2019

2018

Spatio-Temporally Constrained Reconstruction for Hyperpolarized Carbon-13 MRI Using Kinetic Models.

John Maidens, Jeremy W. Gordon, Hsin-Yu Chen, Ilwoo Park, Mark Van Criekinge, Eugene Milshteyn, Robert Bok, Rahul Aggarwal, Marcus Ferrone, James B. Slater, John Kurhanewicz, Daniel B. Vigneron, Murat Arcak, Peder E. Z. Larson

IEEE Trans. Medical Imaging, 2018

Exploiting Symmetry for Discrete-Time Reachability Computations.

John N. Maidens, Murat Arcak

IEEE Control. Syst. Lett., 2018

Symmetry reduction for dynamic programming.

John Maidens, Axel Barrau, Silvère Bonnabel, Murat Arcak

Autom., 2018

An Improvement to Test Case Failure Prediction in the Context of Test Case Prioritization.

Francis Palma, Tamer Abdou, Ayse Bener, John Maidens, Stella Liu

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.

Murat Arcak, John N. Maidens

Proceedings of the Principles of Modeling, 2018

2017

Optimal Control for Learning with Applications in Dynamic MRI.

John N. Maidens

PhD thesis, 2017

Symmetry reduction for dynamic programming and application to MRI.

John N. Maidens, Axel Barrau, Silvère Bonnabel, Murat Arcak

Proceedings of the 2017 American Control Conference, 2017

2016

Optimizing Flip Angles for Metabolic Rate Estimation in Hyperpolarized Carbon-13 MRI.

John N. Maidens, Jeremy W. Gordon, Murat Arcak, Peder E. Z. Larson

IEEE Trans. Medical Imaging, 2016

Parallel dynamic programming for optimal experiment design in nonlinear systems.

John N. Maidens, Andrew K. Packard, Murat Arcak

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.

John N. Maidens, Murat Arcak

Proceedings of the 2016 American Control Conference, 2016

2015

Reachability Analysis of Nonlinear Systems Using Matrix Measures.

John N. Maidens, Murat Arcak

IEEE Trans. Autom. Control., 2015

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

John N. Maidens, Murat Arcak

CoRR, 2015

Optimal experiment design for physiological parameter estimation using hyperpolarized carbon-13 magnetic resonance imaging.

John N. Maidens, Peder E. Z. Larson, Murat Arcak

Proceedings of the American Control Conference, 2015

2014

Trajectory-based reachability analysis of switched nonlinear systems using matrix measures.

John N. Maidens, Murat Arcak

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013

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

John N. Maidens, Shahab Kaynama, Ian M. Mitchell, Meeko M. K. Oishi, Guy Albert Dumont

Autom., 2013

Global Lyapunov functions and a hierarchical control scheme for networks of robotic agents.

John N. Maidens, Michael Y. Li

Proceedings of the American Control Conference, 2013

2012

Computing the viability kernel using maximal reachable sets.

Shahab Kaynama, John N. Maidens, Meeko Oishi, Ian M. Mitchell, Guy Albert Dumont

Proceedings of the Hybrid Systems: Computation and Control (part of CPS Week 2012), 2012