G. Lightbody

William P. Marnane, Geraldine B. Boylan, Gordon Lightbody, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Automatic detection of artifact in neonatal ECG

G. Lightbody, G. Boylan, W. Marnane, 2015, 2015 22nd Iranian Conference on Biomedical Engineering (ICBME).

Decentralised L1 Adaptive Primary Controllers and Distributed Consensus-Based Secondary Control for DC Microgrids with Constant-Power Loads

G. Lightbody, S. Riverso, Daniel O'Keeffe, 2018, ArXiv.

Coupling between mean blood pressure and EEG in preterm neonates is associated with reduced illness severity scores

E. Dempsey, G. Lightbody, J. O’Toole, 2018, PloS one.

Characterisation of heart rate changes and their correlation with EEG during neonatal seizures

G. Lightbody, G. Boylan, B. Greene, 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Neonatal EEG graded for severity of background abnormalities in hypoxic-ischaemic encephalopathy

Sumit A. Raurale, G. Lightbody, J. O’Toole, 2022, ArXiv.

Big data, machine learning, and population health: predicting cognitive outcomes in childhood

G. Lightbody, A. Staines, Andrea Bowe, 2022, Pediatric Research.

Off-Line Training of Feedforward Neural Networks

George W. Irwin, Gordon Lightbody, Seán McLoone, 1994 .

Predicting Low Cognitive Ability at Age 5—Feature Selection Using Machine Learning Methods and Birth Cohort Data

G. Lightbody, A. Staines, M. Kiely, 2022, International Journal of Public Health.

Heart rate variability during sleep in healthy term newborns in the early postnatal period

G B Boylan, G Lightbody, W Marnane, 2009, Physiological measurement.

Deep Learning for EEG Seizure Detection in Preterm Infants

William P. Marnane, Geraldine B. Boylan, Gordon Lightbody, 2020, Int. J. Neural Syst..

Nonlinear Dynamic Matrix Control using Local Models

George W. Irwin, Gordon Lightbody, M. D. Brown, 1998, Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207).

Exploring temporal information in neonatal seizures using a dynamic time warping based SVM kernel

William P. Marnane, Rehan Ahmed, Geraldine B. Boylan, 2017, Comput. Biol. Medicine.

Validation of an automated seizure detection algorithm for term neonates

William P. Marnane, Andrey Temko, Geraldine B. Boylan, 2016, Clinical Neurophysiology.

Robust neonatal EEG seizure Detection through Adaptive Background Modeling

William P. Marnane, Andrey Temko, Geraldine B. Boylan, 2013, Int. J. Neural Syst..

An Automated System for Grading EEG Abnormality in Term Neonates with Hypoxic-Ischaemic Encephalopathy

G. Lightbody, G. Boylan, W. Marnane, 2012, Annals of Biomedical Engineering.

Instantaneous Measure of EEG Channel Importance for Improved Patient-Adaptive Neonatal Seizure Detection

William P. Marnane, Andrey Temko, Geraldine B. Boylan, 2012, IEEE Transactions on Biomedical Engineering.

Performance assessment for EEG-based neonatal seizure detectors

G. Lightbody, A. Temko, W. Marnane, 2011, Clinical Neurophysiology.

Seizure detection in neonates: Improved classification through supervised adaptation

W.P. Marnane, G. Lightbody, E.M. Thomas, 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Gaussian process approach for modelling of nonlinear systems

Gordon Lightbody, Gregor Gregorcic, Gregor Gregorcic, 2009, Eng. Appl. Artif. Intell..

Nonlinear system identification: From multiple-model networks to Gaussian processes

Gordon Lightbody, Gregor Gregorcic, Gregor Gregorcic, 2008, Eng. Appl. Artif. Intell..

Gaussian process internal model control

Gordon Lightbody, Gregor Gregorcic, Gregor Gregorcic, 2012, Int. J. Syst. Sci..

Gaussian Process Modeling of EEG for the Detection of Neonatal Seizures

William P. Marnane, Geraldine B. Boylan, Gordon Lightbody, 2007, IEEE Transactions on Biomedical Engineering.

Classifier models and architectures for EEG-based neonatal seizure detection

R B Reilly, G B Boylan, G Lightbody, 2008, Physiological measurement.

Detection of seizures in intracranial EEG: UPenn and Mayo Clinic's Seizure Detection Challenge

Gordon Lightbody, Andriy Temko, Achintya Sarkar, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Maximisation of Energy Capture by a Wave-Energy Point Absorber using Model Predictive Control

Gordon Lightbody, G. P. Thomas, Anthony Lewis, 2011 .

Modulation frequency analysis of seizures in neonatal EEG

William P. Marnane, Andrey Temko, Geraldine B. Boylan, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Prioritised objectives for model predictive control of building heating systems

Gordon Lightbody, Marcin Cychowski, Konstantinos Kouramas, 2017 .

Big data, machine learning, and population health: predicting cognitive outcomes in childhood

G. Lightbody, A. Staines, Deirdre M Murray, 2022, Pediatric Research.

Multimodal predictor of neurodevelopmental outcome in newborns with hypoxic-ischaemic encephalopathy

William P. Marnane, Geraldine B. Boylan, Gordon Lightbody, 2015, Comput. Biol. Medicine.

Modelling and disturbance estimation for model predictive control in building heating systems

Gordon Lightbody, Marcin Cychowski, Konstantinos Kouramas, 2016 .

Low-order building model identification in presence of unmeasured disturbance for predictive control strategies

Gordon Lightbody, Edward O'Dwyer, Luciano De Tommasi, 2016, 2016 UKACC 11th International Conference on Control (CONTROL).

A hierarchical Model-based Predictive Control strategy for building heating systems

Gordon Lightbody, Edward O’Dwyer, Marcin Cychowski, 2014 .

Prediction of short-term health outcomes in preterm neonates from heart-rate variability and blood pressure using boosted decision trees

Gordon Lightbody, Andriy Temko, Oksana Semenova, 2019, Comput. Methods Programs Biomed..

Neonatal seizure detection from raw multi-channel EEG using a fully convolutional architecture

Gordon Lightbody, Andriy Temko, Geraldine Boylan, 2019, Neural Networks.

Investigating the Impact of CNN Depth on Neonatal Seizure Detection Performance

Geraldine B. Boylan, Gordon Lightbody, Andriy Temko, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Neonatal seizure detection using convolutional neural networks

Geraldine B. Boylan, Gordon Lightbody, Andriy Temko, 2017, 2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP).

EEG Signal Description with Spectral-Envelope-Based Speech Recognition Features for Detection of Neonatal Seizures

William P. Marnane, Andrey Temko, Climent Nadeu, 2011, IEEE Transactions on Information Technology in Biomedicine.

An Application of Model Predictive Control to a Wave Energy Point Absorber

Gordon Lightbody, G. P. Thomas, Anthony Lewis, 2010 .

Framework for smart transactive energy in home-microgrids considering coalition formation and demand side management

Edris Pouresmaeil, Gordon Lightbody, Mousa Marzband, 2018, Sustainable Cities and Society.

An advanced retail electricity market for active distribution systems and home microgrid interoperability based on game theory

Gordon Lightbody, S. A. Pourmousavi, S. Ali Pourmousavi, 2018 .

Nonlinear control structures based on embedded neural system models

George W. Irwin, Gordon Lightbody, G. Irwin, 1997, IEEE Trans. Neural Networks.

Neural Network Modelling and Control of a Plant Exhibiting the Jump Phenomena

George W. Irwin, Gordon Lightbody, G. Irwin, 1992 .

Neural networks for nonlinear adaptive control

George W. Irwin, Gordon Lightbody, G. Irwin, 1991 .

Modeling of the wind turbine with a doubly fed induction generator for grid integration studies

A. Mullane, G. Lightbody, R. Yacamini, 2006, IEEE Transactions on Energy Conversion.

A Distributed Scalable Architecture using L1 Adaptive Controllers for Primary Voltage Control of DC Microgrids pdf

Gordon Lightbody, Stefano Riverso, Daniel O'Keeffe, 2018, ArXiv.

Voltage Control of DC Islanded Microgrids: Scalable Decentralised L1 Adaptive Controllers pdf

Gordon Lightbody, Stefano Riverso, Daniel O'Keeffe, 2018, ArXiv.

Predictive control of a wave to wire energy conversion system — The importance of field weakening

Gordon Lightbody, Adrian C. M. O. Sullivan, G. Lightbody, 2016, 2016 UKACC 11th International Conference on Control (CONTROL).

Development of an EEG artefact detection algorithm and its application in grading neonatal hypoxic-ischemic encephalopathy

G. Lightbody, J. O’Toole, G. Boylan, 2022, Expert Syst. Appl..

Classification of fetal compromise during labour: signal processing and feature engineering of the cardiotocograph

G. Lightbody, M. O'Sullivan, T. Gabruseva, 2021, 2021 29th European Signal Processing Conference (EUSIPCO).

Advances in Automated Neonatal Seizure Detection

William P. Marnane, Andrey Temko, Geraldine B. Boylan, 2011 .

Hybrid neural adaptive control for bank-to-turn missiles

George W. Irwin, Gordon Lightbody, G. McConnell, 1997, IEEE Trans. Control. Syst. Technol..

Suitability of an inter-burst detection method for grading hypoxic-ischemic encephalopathy in newborn EEG

John M. O'Toole, Sumit A. Raurale, Sumit A. Raurale, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

EEG-based neonatal seizure detection with Support Vector Machines

G. Lightbody, A. Temko, W. Marnane, 2011, Clinical Neurophysiology.

Classification of hypoxic-ischemic encephalopathy using long term heart rate variability based features

William P. Marnane, Andrey Temko, Rehan Ahmed, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Discriminative and Generative Classification Techniques Applied to Automated Neonatal Seizure Detection

William P. Marnane, Andrey Temko, Geraldine B. Boylan, 2013, IEEE Journal of Biomedical and Health Informatics.

A comparison of generative and discriminative approaches in automated neonatal seizure detection

G. Lightbody, A. Temko, W. P. Marnane, 2009, 2009 IEEE International Symposium on Intelligent Signal Processing.

Dynamic time warping based neonatal seizure detection system

William P. Marnane, Andrey Temko, Rehan Ahmed, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Clinical implementation of a neonatal seizure detection algorithm

William P. Marnane, Andrey Temko, Geraldine B. Boylan, 2015, Decis. Support Syst..

Predicting the neurodevelopmental outcome in newborns with hypoxic-ischaemic injury

G. Lightbody, A. Temko, W. Marnane, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

Optimal Coordination of a Multiple HVDC Link System Using Centralized and Distributed Control

Bart De Schutter, Gordon Lightbody, Paul McNamara, 2013, IEEE Transactions on Control Systems Technology.

Weight optimisation for iterative distributed model predictive control applied to power networks

Bart De Schutter, Gordon Lightbody, Paul McNamara, 2013, Eng. Appl. Artif. Intell..

Multi-layer perceptron based modelling of nonlinear systems

George W. Irwin, Gordon Lightbody, G. Irwin, 1996, Fuzzy Sets Syst..

A hybrid linear/nonlinear training algorithm for feedforward neural networks

George W. Irwin, Gordon Lightbody, Seán F. McLoone, 1998, IEEE Trans. Neural Networks.

Voltage Control of DC Islanded Microgrids: Scalable Decentralised L1 Adaptive Controllers

G. Lightbody, S. Riverso, Daniel O'Keeffe, 2018, arXiv.org.

Hierarchical Self-Commissioning Control of Grid-Supporting Boost Converters with Nonlinear Loads

Gordon Lightbody, Daniel O'Keeffe, Stefano Riverso, 2018, 2018 UKACC 12th International Conference on Control (CONTROL).

Decentralised L1 Adaptive Controllers for Voltage Control of DC Islanded Microgrids

Gordon Lightbody, Daniel O'Keeffe, Stefano Riverso, 2018, 2018 European Control Conference (ECC).

Global Asymptotic Stability for General Linear MIMO Distributed Systems: An Approach Based on Robust-Adaptive Controllers

Gordon Lightbody, Stefano Riverso, Daniel O'Keeffe, 2018, 1801.02331.

A rapid prototyping tool for load and source emulation in a microgrid test laboratory

Gordon Lightbody, John G. Hayes, Michael G. Egan, 2014, 2014 IEEE Applied Power Electronics Conference and Exposition - APEC 2014.

Grading hypoxic-ischemic encephalopathy in neonatal EEG with convolutional neural networks and quadratic time–frequency distributions

Sumit A. Raurale, G. Lightbody, J. O’Toole, 2021, Journal of neural engineering.

Adaptive modelling of background EEG for robust detection of neonatal seizures

G. Lightbody, A. Temko, L. Marnane, 2012, 2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences.

Temporal evolution of seizure burden for automated neonatal EEG classification

William P. Marnane, Geraldine B. Boylan, Gordon Lightbody, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Co-design of a wave energy converter using constrained predictive control

Gordon Lightbody, Adrian C. M. O'Sullivan, G. Lightbody, 2017 .

Gaussian mixture models for classification of neonatal seizures using EEG

G B Boylan, E M Thomas, A Temko, 2010, Physiological measurement.

Local model networks for nonlinear system identification

George W. Irwin, Gordon Lightbody, M. D. Brown, 1997 .

A novel neural internal model control structure

George W. Irwin, G. Lightbody, G. Irwin, 1995, Proceedings of 1995 American Control Conference - ACC'95.

Neonatal EEG graded for severity of background abnormalities in hypoxic-ischaemic encephalopathy

Sumit A. Raurale, G. Lightbody, J. O’Toole, 2022, Scientific Data.

Inclusion of temporal priors for automated neonatal EEG classification

Gordon Lightbody, Andriy Temko, William Marnane, 2012, Journal of neural engineering.

A Data-Driven Energy Based Estimator of EEG Channel Importance for Improved Patient-Adaptive Neonatal Seizure Detector

William P. Marnane, Geraldine B. Boylan, Gordon Lightbody, 2011 .

Nonlinear model-based control of highly nonlinear processes

Gordon Lightbody, Gregor Gregorcic, Gregor Gregorcic, 2010, Comput. Chem. Eng..

Local Model Network Identification With Gaussian Processes

Gordon Lightbody, Gregor Gregorcic, Gregor Gregorcic, 2007, IEEE Transactions on Neural Networks.

Local Model Network Identification

Gordon Lightbody, Gregor Gregor, G. Lightbody, 2007 .

Bridging the Source-Target Mismatch with Pseudo Labeling for Neonatal Seizure Detection

G. Lightbody, A. Temko, Aengus Daly, 2023, 2023 31st European Signal Processing Conference (EUSIPCO).

Speech recognition features for EEG signal description in detection of neonatal seizures

G. Lightbody, A. Temko, W. Marnane, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

Classifier models and architectures for EEG-based neonatal seizure detection

G. Lightbody, W. Marnane, B. R. Greene, 2008, Physiological measurement.

Toward a Personalized Real-Time Diagnosis in Neonatal Seizure Detection

William P. Marnane, Geraldine B. Boylan, Gordon Lightbody, 2017, IEEE Journal of Translational Engineering in Health and Medicine.

Bag of Patterns for Nearest Neighbour Neonatal EEG Recall

G. Lightbody, W. P. Marnane, G. B. Boylan, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Distance Metric Approach for Nearest Neighbour Recall of Neonatal EEG

William P. Marnane, Geraldine B. Boylan, Gordon Lightbody, 2018, 2018 29th Irish Signals and Systems Conference (ISSC).