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Journal Articles
- 2022
[j4]Jonathan P. Epperlein, Roman Overko, Sergiy Zhuk, Christopher K. King, Djallel Bouneffouf, Andrew Cullen, Robert Shorten:
Reinforcement learning with algorithms from probabilistic structure estimation. Autom. 144: 110483 (2022)- 2021
- [j3]Sergiy Zhuk, Orest V. Iftime, Jonathan P. Epperlein, Andrei Polyakov:
Minimax sliding mode control design for linear evolution equations with noisy measurements and uncertain inputs. Syst. Control. Lett. 147: 104830 (2021) - 2019
- [j2]Jonathan P. Epperlein, Sergiy Zhuk, Robert Shorten:
Recovering Markov models from closed-loop data. Autom. 103: 116-125 (2019) - 2007
- [j1]Douglas J. Leith
, Christopher M. Kellett, Peter Clifford, Jonathan Epperlein, Robert N. Shorten:
A non-invasive method for link upgrade planning using coarse-grained measurements. IEEE Commun. Lett. 11(12): 1037-1039 (2007)
Conference and Workshop Papers
- 2024
- [c12]Tobia Boschi, Francesca Bonin, Rodrigo Ordonez-Hurtado, Alessandra Pascale, Jonathan P. Epperlein:
A New Computationally Efficient Algorithm to solve Feature Selection for Functional Data Classification in High-dimensional Spaces. ICML 2024 - 2022
- [c11]Ambrish Rawat, Giulio Zizzo, Swanand Kadhe, Jonathan P. Epperlein, Stefano Braghin:
Robust Learning Protocol for Federated Tumor Segmentation Challenge. BrainLes@MICCAI (2) 2022: 183-195 - [c10]Jonathan P. Epperlein, Niall P. Hardy, Pol Mac Aonghusa, Ronan A. Cahill:
Extracting, Visualizing, and Learning from Dynamic Data: Perfusion in Surgical Video for Tissue Characterization. ICDH 2022: 7-12 - 2021
- [c9]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:
Practical Perfusion Quantification in Multispectral Endoscopic Video: Using the Minutes after ICG Administration to Assess Tissue Pathology. AMIA 2021 - 2020
- [c8]Emily Jensen, Jonathan P. Epperlein, Bassam Bamieh:
Localization of the LQR Feedback Kernel in Spatially-Invariant Problems over Sobolev Spaces. CDC 2020: 1204-1209 - [c7]Sergiy Zhuk, Jonathan P. Epperlein, Rahul Nair, Seshu Tirupathi, Pól Mac Aonghusa, Donal O'Shea, Ronan A. Cahill:
Perfusion Quantification from Endoscopic Videos: Learning to Read Tumor Signatures. MICCAI (3) 2020: 711-721 - 2018
- [c6]Jonathan P. Epperlein, Orest V. Iftime, Sergiy Zhuk, Andrey Polyakov:
Asymptotic Output-Feedback Stabilization of Linear Evolution Equations with Uncertain Inputs via Equivalent Control Method. CDC 2018: 6222-6227 - [c5]Jonathan P. Epperlein, Julien Monteil, Mingming Liu, Yingqi Gu, Sergiy Zhuk, Robert Shorten:
Bayesian classifier for Route prediction with Markov chains. ITSC 2018: 677-682 - 2017
- [c4]Jonathan Epperlein, Jakub Marecek:
Resource allocation with population dynamics. Allerton 2017: 1293-1300 - 2016
- [c3]Jonathan P. Epperlein, Bassam Bamieh:
Spatially invariant embeddings of systems with boundaries. ACC 2016: 6133-6139 - 2014
- [c2]Jonathan P. Epperlein, Bassam Bamieh, Karl Johan Åström:
Control laboratory experiments in thermoacoustics using the Rijke tube. ACC 2014: 2550-2556 - 2012
- [c1]Jonathan P. Epperlein, Bassam Bamieh:
A frequency domain method for optimal periodic control. ACC 2012: 5501-5506
Informal and Other Publications
- 2024
- [i8]Tobia Boschi, Francesca Bonin, Jonathan Epperlein, Rodrigo Ordonez-Hurtado, Alessandra Pascale:
Feature Selection for Functional Data Classification. CoRR abs/2401.05765 (2024) - 2022
- [i7]Jonathan P. Epperlein, Sergiy Zhuk:
A Real-Time Region Tracking Algorithm Tailored to Endoscopic Video with Open-Source Implementation. CoRR abs/2203.08858 (2022) - [i6]Ambrish Rawat, Giulio Zizzo, Swanand Kadhe, Jonathan P. Epperlein, Stefano Braghin:
Robust Learning Protocol for Federated Tumor Segmentation Challenge. CoRR abs/2212.08290 (2022) - 2021
- [i5]Jonathan P. Epperlein, Roman Overko, Sergiy Zhuk, Christopher K. King, Djallel Bouneffouf, Andrew Cullen, Robert Shorten:
Reinforcement Learning with Algorithms from Probabilistic Structure Estimation. CoRR abs/2103.08241 (2021) - 2020
- [i4]Sergiy Zhuk, Jonathan P. Epperlein, Rahul Nair, Seshu Tirupathi, Pol Mac Aonghusa, Ronan A. Cahill, Donal O'Shea:
Perfusion Quantification from Endoscopic Videos: Learning to Read Tumor Signatures. CoRR abs/2006.14321 (2020) - 2018
- [i3]Jonathan Epperlein, Jaroslaw Legierski, Marcin Luckner, Jakub Marecek, Rahul Nair:
The Use of Presence Data in Modelling Demand for Transportation. CoRR abs/1802.03734 (2018) - [i2]Jonathan P. Epperlein, Julien Monteil, Mingming Liu, Yingqi Gu, Sergiy Zhuk, Robert Shorten:
Bayesian Classifier for Route Prediction with Markov Chains. CoRR abs/1808.10705 (2018) - 2016
- [i1]Jonathan Epperlein, Jakub Marecek:
Resource Allocation with Population Dynamics. CoRR abs/1604.03458 (2016)
Coauthor Index
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