Jonathan Epperlein

According to our database, Jonathan Epperlein authored at least 18 papers between 2007 and 2024.

Collaborative distances:

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

2024

Feature Selection for Functional Data Classification.

Tobia Boschi, Francesca Bonin, Jonathan Epperlein, Rodrigo Ordonez-Hurtado, Alessandra Pascale

CoRR, 2024

2022

A Real-Time Region Tracking Algorithm Tailored to Endoscopic Video with Open-Source Implementation.

Jonathan P. Epperlein, Sergiy Zhuk

CoRR, 2022

Reinforcement learning with algorithms from probabilistic structure estimation.

Jonathan P. Epperlein, Roman Overko, Sergiy Zhuk, Christopher K. King, Djallel Bouneffouf, Andrew Cullen, Robert Shorten

Autom., 2022

Extracting, Visualizing, and Learning from Dynamic Data: Perfusion in Surgical Video for Tissue Characterization.

Jonathan P. Epperlein, Niall P. Hardy, Pol Mac Aonghusa, Ronan A. Cahill

Proceedings of the IEEE International Conference on Digital Health, 2022

Robust Learning Protocol for Federated Tumor Segmentation Challenge.

Ambrish Rawat, Giulio Zizzo, Swanand Kadhe, Jonathan P. Epperlein, Stefano Braghin

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022

2021

Minimax sliding mode control design for linear evolution equations with noisy measurements and uncertain inputs.

Sergiy Zhuk, Orest V. Iftime, Jonathan P. Epperlein, Andrei Polyakov

Syst. Control. Lett., 2021

Practical Perfusion Quantification in Multispectral Endoscopic Video: Using the Minutes after ICG Administration to Assess Tissue Pathology.

Jonathan P. Epperlein, Mykhaylo Zayats, Seshu Tirupathi, Sergiy Zhuk, Tigran T. Tchrakian, Pol Mac Aonghusa, Donal F. O'Shea, Niall P. Hardy, Jeffrey Dalli, Ronan A. Cahill

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

Perfusion Quantification from Endoscopic Videos: Learning to Read Tumor Signatures.

Sergiy Zhuk, Jonathan P. Epperlein, Rahul Nair, Seshu Tirupathi, Pól Mac Aonghusa, Donal O'Shea, Ronan A. Cahill

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Localization of the LQR Feedback Kernel in Spatially-Invariant Problems over Sobolev Spaces.

Emily Jensen, Jonathan P. Epperlein, Bassam Bamieh

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019

Recovering Markov models from closed-loop data.

Jonathan P. Epperlein, Sergiy Zhuk, Robert Shorten

Autom., 2019

2018

The Use of Presence Data in Modelling Demand for Transportation.

Jonathan Epperlein, Jaroslaw Legierski, Marcin Luckner, Jakub Marecek, Rahul Nair

CoRR, 2018

Bayesian classifier for Route prediction with Markov chains.

Jonathan P. Epperlein, Julien Monteil, Mingming Liu, Yingqi Gu, Sergiy Zhuk, Robert Shorten

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Asymptotic Output-Feedback Stabilization of Linear Evolution Equations with Uncertain Inputs via Equivalent Control Method.

Jonathan P. Epperlein, Orest V. Iftime, Sergiy Zhuk, Andrey Polyakov

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017

Resource allocation with population dynamics.

Jonathan Epperlein, Jakub Marecek

Proceedings of the 55th Annual Allerton Conference on Communication, 2017

2016

Spatially invariant embeddings of systems with boundaries.

Jonathan P. Epperlein, Bassam Bamieh

Proceedings of the 2016 American Control Conference, 2016

2014

Control laboratory experiments in thermoacoustics using the Rijke tube.

Jonathan P. Epperlein, Bassam Bamieh, Karl Johan Åström

Proceedings of the American Control Conference, 2014

2012

A frequency domain method for optimal periodic control.

Jonathan P. Epperlein, Bassam Bamieh

Proceedings of the American Control Conference, 2012

2007

A non-invasive method for link upgrade planning using coarse-grained measurements.

Douglas J. Leith, Christopher M. Kellett, Peter Clifford, Jonathan Epperlein, Robert N. Shorten

IEEE Commun. Lett., 2007