Lionel Tarassenko

117 papers A* 3B 3C 10Misc 1Journal 57Unranked 42

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Clinical knowledge in LLMs does not translate to human interactions. CoRR Andrew M. Bean, Rebecca Payne, Guy Parsons, Hannah Rose Kirk, Juan Ciro, Rafael Mosquera, Sara Hincapié Monsalve, Aruna S. Ekanayaka, Lionel Tarassenko, Luc Rocher, Adam Mahdi
2025	J	`jnl`	Retrieval-augmented reasoning with lean language models. CoRR Ryan Sze-Yin Chan, Federico Nanni, Tomas Lazauskas, Rosie Wood, Penelope Yong, Lionel Tarassenko, Mark Girolami, James Geddes, Andrew B. Duncan
2024	A*	`conf`	SleepVST: Sleep Staging from Near-Infrared Video Signals using Pre-Trained Transformers. CVPR Jonathan F. Carter, João Jorge, Oliver Gibson, Lionel Tarassenko
2024	J	`jnl`	SleepVST: Sleep Staging from Near-Infrared Video Signals using Pre-Trained Transformers. CoRR Jonathan F. Carter, João Jorge, Oliver Gibson, Lionel Tarassenko
2024	—	`conf`	wav2sleep: A Unified Multi-Modal Approach to Sleep Stage Classification from Physiological Signals. ML4H@NeurIPS Jonathan F. Carter, Lionel Tarassenko
2024	J	`jnl`	wav2sleep: A Unified Multi-Modal Approach to Sleep Stage Classification from Physiological Signals. CoRR Jonathan F. Carter, Lionel Tarassenko
2023	—	`conf`	Deep Learning-Enabled Sleep Staging From Vital Signs and Activity Measured Using a Near-Infrared Video Camera. CVPR Workshops Jonathan Carter, João Jorge, Bindia Venugopal, Oliver Gibson, Lionel Tarassenko
2023	J	`jnl`	Deep Learning-Enabled Sleep Staging From Vital Signs and Activity Measured Using a Near-Infrared Video Camera. CoRR Jonathan Carter, João Jorge, Bindia Venugopal, Oliver Gibson, Lionel Tarassenko
2023	—	`conf`	Sleep Staging Using Wearables and Deep Neural Networks. BHI Shaun M. Davidson, Cristian Roman, Jonathan Carter, Mirae Harford, Lionel Tarassenko
2023	—	`conf`	Wearables for continuous patient monitoring on COVID-19 isolation wards. BHI Cristian Roman, Sarah Vollam, Peter J. Watkinson, Lionel Tarassenko
2022	—	`conf`	Classifying nocturnal blood pressure patterns using photoplethysmogram features. EMBC Eoin Finnegan, Shaun M. Davidson, Mirae Harford, João Jorge, Mauricio Villarroel, Lionel Tarassenko
2022	—	`conf`	Multimodal Cardiomegaly Classification with Image-Derived Digital Biomarkers. MIUA Benjamin Duvieusart, Felix Krones, Guy Parsons, Lionel Tarassenko, Bartlomiej W. Papiez, Adam Mahdi
2022	J	`jnl`	Non-contact physiological monitoring of post-operative patients in the intensive care unit. npj Digit. Medicine João Jorge, Mauricio Villarroel, Hamish Tomlinson, Oliver Gibson, Julie L. Darbyshire, Jody Ede, Mirae Harford, J. Duncan Young, Lionel Tarassenko, Peter J. Watkinson
2022	—	`conf`	Predicting Isolated Nocturnal Hypertension Using Dawn and Dusk Home Blood Pressure Monitoring. EMBC Shaun M. Davidson, Cristian Roman, Lionel Tarassenko
2021	J	`jnl`	A Real-Time Wearable System for Monitoring Vital Signs of COVID-19 Patients in a Hospital Setting. Frontiers Digit. Health Mauro D. Santos, Cristian Roman, Marco A. F. Pimentel, Sarah Vollam, Carlos Areia, Louise Young, Peter J. Watkinson, Lionel Tarassenko
2021	J	`jnl`	An impedance pneumography signal quality index: Design, assessment and application to respiratory rate monitoring. Biomed. Signal Process. Control. Peter H. Charlton, Timothy Bonnici, Lionel Tarassenko, David A. Clifton, Richard Beale, Peter J. Watkinson, Jordi Alastruey
2021	—	`conf`	Deep Learning Classification of Cardiomegaly Using Combined Imaging and Non-imaging ICU Data. MIUA Declan Grant, Bartlomiej W. Papiez, Guy Parsons, Lionel Tarassenko, Adam Mahdi
2021	J	`jnl`	Guest Editorial: Camera-Based Monitoring for Pervasive Healthcare Informatics. IEEE J. Biomed. Health Informatics Wenjin Wang, Steffen Leonhardt, Lionel Tarassenko, Caifeng Shan, Daniel McDuff
2021	J	`jnl`	Non-Contact Assessment of Peripheral Artery Haemodynamics Using Infrared Video Thermography. IEEE Trans. Biomed. Eng. João Jorge, Mirae Harford, Mauricio Villarroel, Sitthichok Chaichulee, Shaun M. Davidson, Eoin Finnegan, Samuel H. Clark, J. Duncan Young, Peter J. Watkinson, Lionel Tarassenko
2020	—	`conf`	Comparing Circadian Rhythms in Blood Pressure Computed From the Arterial Line and Sphygmomanometer in the ICU. CinC Eoin Finnegan, Mauricio Villarroel, Shaun M. Davidson, Mirae Harford, João Jorge, Lionel Tarassenko
2020	—	`conf`	Vital-Sign Synchrony as a Marker for Patient Circadian Rhythms in an Intensive Care Unit. CinC Shaun M. Davidson, Mauricio Villarroel, Eoin Finnegan, Mirae Harford, João Jorge, Lionel Tarassenko
2019	J	`jnl`	Assessment of Signal Processing Methods for Measuring the Respiratory Rate in the Neonatal Intensive Care Unit. IEEE J. Biomed. Health Informatics João Jorge, Mauricio Villarroel, Sitthichok Chaichulee, Gabrielle Green, Kenny McCormick, Lionel Tarassenko
2019	C	`conf`	Mobistudy: An Open Mobile-Health Platform for Clinical Research. BIBE Dario Salvi, Jameson Lee, Carmelo Velardo, Rishi Arvin Goburdhun, Lionel Tarassenko
2019	J	`jnl`	Non-contact physiological monitoring of preterm infants in the Neonatal Intensive Care Unit. npj Digit. Medicine Mauricio Villarroel, Sitthichok Chaichulee, João Jorge, Sara Davis, Gabrielle Green, Carlos Arteta, Andrew Zisserman, Kenny McCormick, Peter J. Watkinson, Lionel Tarassenko
2019	—	`conf`	Uncertainty-Aware Model for Reliable Prediction of Sepsis in the ICU. CinC Marco A. F. Pimentel, Adam Mahdi, Oliver Redfern, Mauro D. Santos, Lionel Tarassenko
2018	—	`conf`	An Optimised Algorithm for Accurate Steps Counting From Smart-Phone Accelerometry. EMBC Dario Salvi, Carmelo Velardo, Jamieson Brynes, Lionel Tarassenko
2018	C	`conf`	Estimation of HRV and SpO2 from wrist-worn commercial sensors for clinical settings. BSN Delaram Jarchi, Dario Salvi, Carmelo Velardo, Adam Mahdi, Lionel Tarassenko, David A. Clifton
2018	—	`conf`	Physical Activity and Sleep Analysis of Heart Failure Patients using Multi-sensor Patches. EMBC Johanna O'Donnell, Carmelo Velardo, Syed Ahmar Shah, Gholamreza Salimi Khorshidi, Dario Salvi, Kazem Rahimi, Lionel Tarassenko
2018	J	`jnl`	Validation of Instantaneous Respiratory Rate Using Reflectance PPG from Different Body Positions. Sensors Delaram Jarchi, Dario Salvi, Lionel Tarassenko, David A. Clifton
2018	C	`conf`	Visualisation of long-term ECG signals applied to post-intensive care patients. BSN Delaram Jarchi, Adam Mahdi, Lionel Tarassenko, David A. Clifton
2017	J	`jnl`	A Survey of Mobile Phone Sensing, Self-Reporting, and Social Sharing for Pervasive Healthcare. IEEE J. Biomed. Health Informatics Andreas Triantafyllidis, Carmelo Velardo, Dario Salvi, Syed Ahmar Shah, Vassilios G. Koutkias, Lionel Tarassenko
2017	J	`jnl`	Digital health system for personalised COPD long-term management. BMC Medical Informatics Decis. Mak. Carmelo Velardo, Syed Ahmar Shah, Oliver J. Gibson, Gari D. Clifford, Carl Heneghan, Heather Rutter, Andrew Farmer, Lionel Tarassenko, Andreas Triantafyllidis, Veronika Williams, Maxine Hardinge, Christy Toms, Louise Jones, Stephanie Robinson, Jonathan Price, Linda Heritage
2017	B	`conf`	Multi-Task Convolutional Neural Network for Patient Detection and Skin Segmentation in Continuous Non-Contact Vital Sign Monitoring. FG Sitthichok Chaichulee, Mauricio Villarroel, João Jorge, Carlos Arteta, Gabrielle Green, Kenny McCormick, Andrew Zisserman, Lionel Tarassenko
2017	B	`conf`	Non-Contact Monitoring of Respiration in the Neonatal Intensive Care Unit. FG João Jorge, Mauricio Villarroel, Sitthichok Chaichulee, Alessandro Guazzi, Sara Davis, Gabrielle Green, Kenny McCormick, Lionel Tarassenko
2017	B	`conf`	Non-Contact Vital Sign Monitoring in the Clinic. FG Mauricio Villarroel, João Jorge, Chris Pugh, Lionel Tarassenko
2017	J	`jnl`	Toward a Robust Estimation of Respiratory Rate From Pulse Oximeters. IEEE Trans. Biomed. Eng. Marco A. F. Pimentel, Alistair E. W. Johnson, Peter Charlton, Drew A. Birrenkott, Peter J. Watkinson, Lionel Tarassenko, David A. Clifton
2016	—	`conf`	Automated ECG Ventricular Beat Detection with Switching Kalman Filters. CinC Julien Oster, Lionel Tarassenko
2016	J	`jnl`	Logistic Regression-HSMM-Based Heart Sound Segmentation. IEEE Trans. Biomed. Eng. David B. Springer, Lionel Tarassenko, Gari D. Clifford
2015	J	`jnl`	A personalised mobile-based home monitoring system for heart failure: The SUPPORT-HF Study. Int. J. Medical Informatics Andreas Triantafyllidis, Carmelo Velardo, Tracey Chantler, Syed Ahmar Shah, Chris Paton, Reza Khorshidi, Lionel Tarassenko, Kazem Rahimi
2015	J	`jnl`	Engineering a mobile health tool for resource-poor settings to assess and manage cardiovascular disease risk: SMARThealth study. BMC Medical Informatics Decis. Mak. Arvind Raghu, Devarsetty Praveen, David Peiris, Lionel Tarassenko, Gari D. Clifford
2015	J	`jnl`	Signal-Quality Indices for the Electrocardiogram and Photoplethysmogram: Derivation and Applications to Wireless Monitoring. IEEE J. Biomed. Health Informatics Christina Orphanidou, Timothy Bonnici, Peter Charlton, David A. Clifton, David Vallance, Lionel Tarassenko
2015	J	`jnl`	Using a mobile health application to support self-management in chronic obstructive pulmonary disease: a six-month cohort study. BMC Medical Informatics Decis. Mak. Maxine Hardinge, Heather Rutter, Carmelo Velardo, Syed Ahmar Shah, Veronika Williams, Lionel Tarassenko, Andrew Farmer
2014	J	`jnl`	A review of novelty detection. Signal Process. Marco A. F. Pimentel, David A. Clifton, Lei A. Clifton, Lionel Tarassenko
2014	—	`conf`	Automatic generation of personalised alert thresholds for patients with COPD. EUSIPCO Carmelo Velardo, Syed Ahmar Shah, Oliver J. Gibson, Heather Rutter, Andrew Farmer, Lionel Tarassenko
2014	J	`jnl`	Extending the Generalised Pareto Distribution for Novelty Detection in High-Dimensional Spaces. J. Signal Process. Syst. David A. Clifton, Lei A. Clifton, Samuel Hugueny, Lionel Tarassenko
2014	—	`conf`	Personalized alerts for patients with COPD using pulse oximetry and symptom scores. EMBC Syed Ahmar Shah, Carmelo Velardo, Oliver J. Gibson, Heather Rutter, Andrew Farmer, Lionel Tarassenko
2014	—	`conf`	Physiological trajectory of patients pre and post ICU discharge EMBC Alistair E. W. Johnson, Jonathan Burgess, Marco A. F. Pimentel, David A. Clifton, J. Duncan Young, Peter J. Watkinson, Lionel Tarassenko
2014	J	`jnl`	Predictive Monitoring of Mobile Patients by Combining Clinical Observations With Data From Wearable Sensors. IEEE J. Biomed. Health Informatics Lei A. Clifton, David A. Clifton, Marco A. F. Pimentel, Peter J. Watkinson, Lionel Tarassenko
2014	J	`jnl`	Probabilistic Novelty Detection With Support Vector Machines. IEEE Trans. Reliab. Lei A. Clifton, David A. Clifton, Yang Zhang, Peter J. Watkinson, Lionel Tarassenko, Hujun Yin
2014	—	`conf`	Robust Heart Rate Estimation from Noisy Phonocardiograms. CinC David B. Springer, Thomas Brennan, Jens Hitzeroth, Bongani M. Mayosi, Lionel Tarassenko, Gari D. Clifford
2014	Misc	`conf`	Signal quality classification of mobile phone-recorded phonocardiogram signals. ICASSP David B. Springer, Thomas Brennan, Liesl J. Zuhlke, Hassan Y. Abdelrahman, Ntobeko Ntusi, Gari D. Clifford, Bongani M. Mayosi, Lionel Tarassenko
2014	—	`conf`	Support Vector Machine Hidden Semi-Markov Model-based Heart Sound Segmentation. CinC David B. Springer, Lionel Tarassenko, Gari D. Clifford
2014	—	`conf`	Supporting heart failure patients through personalized mobile health monitoring. MobiHealth Andreas Triantafyllidis, Carmelo Velardo, Syed Ahmar Shah, Lionel Tarassenko, Tracey Chantler, Chris Paton, Kazem Rahimi
2013	—	`conf`	A Bayesian Patient-Based Model for Detecting Deterioration in Vital Signs Using Manual Observations. FHIES Sara Khalid, David A. Clifton, Lionel Tarassenko
2013	J	`jnl`	A Large-Scale Clinical Validation of an Integrated Monitoring System in the Emergency Department. IEEE J. Biomed. Health Informatics David A. Clifton, David Wong, Lei A. Clifton, Sarah J. Wilson, Rob Way, Richard Pullinger, Lionel Tarassenko
2013	J	`jnl`	An Extreme Function Theory for Novelty Detection. IEEE J. Sel. Top. Signal Process. David A. Clifton, Lei A. Clifton, Samuel Hugueny, David Wong, Lionel Tarassenko
2013	J	`jnl`	Data fusion for estimating respiratory rate from a single-lead ECG. Biomed. Signal Process. Control. Christina Orphanidou, Susannah Fleming, Syed Ahmar Shah, Lionel Tarassenko
2013	J	`jnl`	Gaussian Processes for Personalized e-Health Monitoring With Wearable Sensors. IEEE Trans. Biomed. Eng. Lei A. Clifton, David A. Clifton, Marco A. F. Pimentel, Peter J. Watkinson, Lionel Tarassenko
2013	—	`conf`	Gaussian process clustering for the functional characterisation of vital-sign trajectories. MLSP Marco A. F. Pimentel, David A. Clifton, Lionel Tarassenko
2013	J	`jnl`	Modelling physiological deterioration in post-operative patient vital-sign data. Medical Biol. Eng. Comput. Marco A. F. Pimentel, David A. Clifton, Lei A. Clifton, Peter J. Watkinson, Lionel Tarassenko
2013	—	`conf`	Performance of Early Warning Scoring Systems to Detect Patient Deterioration in the Emergency Department. FHIES Mauro D. Santos, David A. Clifton, Lionel Tarassenko
2013	—	`conf`	Probabilistic estimation of respiratory rate using Gaussian processes. EMBC Marco A. F. Pimentel, David A. Clifton, Lei A. Clifton, Lionel Tarassenko
2013	—	`conf`	The SMS-text adherence support (StAR) study: hardware and software infrastructure. ICTD (2) David B. Springer, Kirsten L. Bobrow, Naomi Levitt, Andrew Farmer, Lionel Tarassenko
2012	J	`jnl`	"Stroke Nav": A wireless data collection and review system to support stroke care delivery. Comput. Methods Programs Biomed. Oliver J. Gibson, Joyce S. Balami, George A. Pope, Lionel Tarassenko, Ian P. Reckless
2012	J	`jnl`	A Two-Class Approach to the Detection of Physiological Deterioration in Patient Vital Signs, With Clinical Label Refinement. IEEE Trans. Inf. Technol. Biomed. Sara Khalid, David A. Clifton, Lei A. Clifton, Lionel Tarassenko
2012	C	`conf`	A method for assessing the reliability of heart rates obtained from ambulatory ECG. BIBE Christina Orphanidou, Timothy Bonnici, David Vallance, Alexander Darrell, Peter Charlton, Lionel Tarassenko
2012	—	`conf`	Gaussian process regression in vital-sign early warning systems. EMBC Lei A. Clifton, David A. Clifton, Marco A. F. Pimentel, Peter J. Watkinson, Lionel Tarassenko
2012	—	`conf`	Machine learning and software engineering in health informatics. RAISE@ICSE David A. Clifton, Jeremy Gibbons, Jim Davies, Lionel Tarassenko
2012	C	`conf`	Probabilistic detection of vital sign abnormality with Gaussian process regression. BIBE David Wong, David A. Clifton, Lionel Tarassenko
2012	J	`jnl`	Review of T-wave morphology-based biomarkers of ventricular repolarisation using the surface electrocardiogram. Biomed. Signal Process. Control. Thomas Brennan, Lionel Tarassenko
2012	C	`conf`	Testing of Wearable Monitors in a Real-World Hospital Environment: What Lessons Can Be Learnt? BSN Timothy Bonnici, Christina Orphanidou, David Vallance, Alexander Darrell, Lionel Tarassenko
2012	—	`conf`	Vital-sign Data Fusion Models for Post-operative Patients. BIOSIGNALS Marco A. F. Pimentel, David A. Clifton, Lei A. Clifton, Peter J. Watkinson, Lionel Tarassenko
2011	C	`conf`	Identification of Patient Deterioration in Vital-Sign Data using One-Class Support Vector Machines. FedCSIS Lei A. Clifton, David A. Clifton, Peter J. Watkinson, Lionel Tarassenko
2011	—	`conf`	Mobile health for drug dose optimisation. EMBC Mark E. Larsen, Andrew Farmer, Andrew Weaver, Annie Young, Lionel Tarassenko
2011	C	`conf`	Novelty Detection for Identifying Deterioration in Emergency Department Patients. IDEAL David A. Clifton, David Wong, Susannah Fleming, Sarah J. Wilson, Rob Way, Richard Pullinger, Lionel Tarassenko
2011	J	`jnl`	Novelty Detection with Multivariate Extreme Value Statistics. J. Signal Process. Syst. David A. Clifton, Samuel Hugueny, Lionel Tarassenko
2011	—	`conf`	Optimising Classifiers for the Detection of Physiological Deterioration in Patient Vital-sign Data. BIOSIGNALS Sara Khalid, David A. Clifton, Lei A. Clifton, Lionel Tarassenko
2011	—	`conf`	Pinning the tail on the distribution: A multivariate extension to the generalised Pareto distribution. MLSP David A. Clifton, Samuel Hugueny, Lionel Tarassenko
2010	—	`conf`	Probabilistic Patient Monitoring using Extreme Value Theory - A Multivariate, Multimodal Methodology for Detecting Patient Deterioration. BIOSIGNALS Samuel Hugueny, David A. Clifton, Lionel Tarassenko
2010	—	`conf`	Probabilistic Patient Monitoring with Multivariate, Multimodal Extreme Value Theory. BIOSTEC (Selected Papers) Samuel Hugueny, David A. Clifton, Lionel Tarassenko
2008	—	`ch.`	Automated Novelty Detection in Industrial Systems. Advances of Computational Intelligence in Industrial Systems David A. Clifton, Lei A. Clifton, Peter R. Bannister, Lionel Tarassenko
2007	C	`conf`	Novelty Detection in Large-Vehicle Turbocharger Operation. IEA/AIE David A. Clifton, Peter R. Bannister, Lionel Tarassenko
2006	C	`conf`	Application of an Intuitive Novelty Metric for Jet Engine Condition Monitoring. IEA/AIE David A. Clifton, Peter R. Bannister, Lionel Tarassenko
2006	J	`jnl`	Application of independent component analysis in removing artefacts from the electrocardiogram. Neural Comput. Appl. Taigang He, Gari D. Clifford, Lionel Tarassenko
2006	—	`conf`	Detection of apnoeic and breathing activity through pole-zero analysis of the SpO EMBC (Supplement) Lisa Lazareck, Lionel Tarassenko
2006	—	`conf`	Detection of apnoeic and breathing activity through pole-zero analysis of the SpO2 signal. EMBC Lisa Lazareck, Lionel Tarassenko
2006	—	`conf`	Learning Shape for Jet Engine Novelty Detection. ISNN (2) David A. Clifton, Peter R. Bannister, Lionel Tarassenko
2005	J	`jnl`	Quantifying errors in spectral estimates of HRV due to beat replacement and resampling. IEEE Trans. Biomed. Eng. Gari D. Clifford, Lionel Tarassenko
2004	J	`jnl`	Neural Network Analysis of the Mastoid EEG for the Assessment of Vigilance. Int. J. Hum. Comput. Interact. Mihaela Duta, Chris Alford, Sue Wilson, Lionel Tarassenko
2003	J	`jnl`	A dynamical model for generating synthetic electrocardiogram signals. IEEE Trans. Biomed. Eng. Patrick E. McSharry, Gari D. Clifford, Lionel Tarassenko, Leonard A. Smith
2003	J	`jnl`	Comparison of predictability of epileptic seizures by a linear and a nonlinear method. IEEE Trans. Biomed. Eng. Patrick E. McSharry, Leonard A. Smith, Lionel Tarassenko
2003	—	`conf`	Markov Models for Automated ECG Interval Analysis. NIPS Nicholas P. Hughes, Lionel Tarassenko, Stephen J. Roberts
2001	J	`jnl`	Analysis and simulation of a cascaded delta delta-sigma modulator. Comput. Stand. Interfaces Dileepan Joseph, Lionel Tarassenko, Steve Collins
2001	J	`jnl`	Detection of Ectopic Beats in the Electrocardiogram Using an Auto-Associative Neural Network. Neural Process. Lett. Lionel Tarassenko, Gari D. Clifford, Neil W. Townsend
2000	J	`jnl`	Novelty detection for the identification of abnormalities. Int. J. Syst. Sci. Lionel Tarassenko, Alexandre Nairac, Neil W. Townsend, I. Buxton, Peter Cowley
2000	—	`conf`	Support Vector Novelty Detection Applied to Jet Engine Vibration Spectra. NIPS Paul M. Hayton, Bernhard Schölkopf, Lionel Tarassenko, Paul Anuzis
1999	J	`jnl`	A System for the Analysis of Jet Engine Vibration Data. Integr. Comput. Aided Eng. Alexandre Nairac, Neil W. Townsend, Roy Carr, Steve King, Peter Cowley, Lionel Tarassenko
1999	J	`jnl`	Estimations of error bounds for neural-network function approximators. IEEE Trans. Neural Networks Neil W. Townsend, Lionel Tarassenko
1999	J	`jnl`	Neural Networks for Mobile Robot Localisation using Infra-Red Range Sensing. Neural Comput. Appl. Neil W. Townsend, Lionel Tarassenko
1998	J	`jnl`	Neural network models for breast cancer prognosis. Neural Comput. Appl. Ruth M. Ripley, Adrian L. Harris, Lionel Tarassenko
1997	J	`jnl`	Analysis of dynamic MR breast images using a model of contrast enhancement. Medical Image Anal. Paul M. Hayton, Michael Brady, Lionel Tarassenko, Niall Moore
1996	J	`jnl`	Neural Network Prediction of Relapse in Breast Cancer Patients. Neural Comput. Appl. Lionel Tarassenko, R. M. Whitehouse, Giampietro Gasparini, Adrian L. Harris
1996	J	`jnl`	Perturbation Techniques for on-Chip Learning with Analogue VLSI MLPs. J. Circuits Syst. Comput. Graham Cairns, Lionel Tarassenko
1995	J	`jnl`	A design for a visual motion transducer. IEEE Trans. Robotics Autom. Andrew Blake, Gabriel Hamid, Lionel Tarassenko
1994	J	`jnl`	A Probabilistic Resource Allocating Network for Novelty Detection. Neural Comput. Stephen J. Roberts, Lionel Tarassenko
1993	A*	`conf`	A design for a visual motion transducer. ICCV Andrew Blake, Gabriel Hamid, Lionel Tarassenko
1993	J	`jnl`	Learning Pronunciation with the Visual Ear. Neural Comput. Appl. Jake Reynolds, Lionel Tarassenko
1993	J	`jnl`	On-Chip Learning With Analogue Vlsi Neural Networks. Int. J. Neural Syst. Lionel Tarassenko, Jon Tombs, Graham Cairns
1992	J	`jnl`	Integrated pulse stream neural networks: results, issues, and pointers. IEEE Trans. Neural Networks Alister Hamilton, Alan F. Murray, Donald J. Baxter, Stephen Churcher, H. Martin Reekie, Lionel Tarassenko
1992	J	`jnl`	Spoken Letter Recognition with Neural Networks. Int. J. Neural Syst. Jake Reynolds, Lionel Tarassenko
1991	A*	`conf`	Analogue computation of collision-free paths. ICRA Lionel Tarassenko, A. Blake
1991	J	`jnl`	Pulse-stream VLSI neural networks mixing analog and digital techniques. IEEE Trans. Neural Networks Alan F. Murray, Dante Del Corso, Lionel Tarassenko
1990	—	`conf`	Real-Time Autonomous Robot Navigation Using VLSI Neural Networks. NIPS Lionel Tarassenko, Michael Brownlow, Gillian Marshall, Jan Tombs, Alan F. Murray
1989	—	`conf`	Pulse-Firing Neural Chips for Hundreds of Neurons. NIPS Michael Brownlow, Lionel Tarassenko, Alan F. Murray, Alister Hamilton, Il Song Han, H. Martin Reekie
1989	J	`jnl`	Tracking cataract by the "four-line" method. Image Vis. Comput. Keith J. Hanna, Lionel Tarassenko
1988	—	`conf`	Programmable Analog Pulse-Firing Neural Networks. NIPS Alister Hamilton, Alan F. Murray, Lionel Tarassenko
1988	—	`conf`	Tracking Cataract by the Four-Line Method. Alvey Vision Conference Keith J. Hanna, Lionel Tarassenko