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2020 – today
- 2024
[c58]Jonathan F. Carter, João Jorge, Oliver Gibson, Lionel Tarassenko:
SleepVST: Sleep Staging from Near-Infrared Video Signals using Pre-Trained Transformers. CVPR 2024: 12479-12489- [i2]Jonathan F. Carter, João Jorge, Oliver Gibson, Lionel Tarassenko:
SleepVST: Sleep Staging from Near-Infrared Video Signals using Pre-Trained Transformers. CoRR abs/2404.03831 (2024) - 2023
- [c57]Shaun M. Davidson
, Cristian Roman, Jonathan Carter, Mirae Harford, Lionel Tarassenko:
Sleep Staging Using Wearables and Deep Neural Networks. BHI 2023: 1-4 - [c56]Cristian Roman, Sarah Vollam, Peter J. Watkinson, Lionel Tarassenko:
Wearables for continuous patient monitoring on COVID-19 isolation wards. BHI 2023: 1-4 - [c55]Jonathan F. Carter, João Jorge, Bindia Venugopal, Oliver Gibson, Lionel Tarassenko:
Deep Learning-Enabled Sleep Staging From Vital Signs and Activity Measured Using a Near-Infrared Video Camera. CVPR Workshops 2023: 5940-5949 - [i1]Jonathan F. Carter, João Jorge, Bindia Venugopal, Oliver Gibson, Lionel Tarassenko:
Deep Learning-Enabled Sleep Staging From Vital Signs and Activity Measured Using a Near-Infrared Video Camera. CoRR abs/2306.03711 (2023) - 2022
- [j52]João Jorge, Mauricio Villarroel, Hamish Tomlinson, Oliver Gibson, Julie L. Darbyshire, Jody Ede, Mirae Harford, J. Duncan Young, Lionel Tarassenko, Peter J. Watkinson:
Non-contact physiological monitoring of post-operative patients in the intensive care unit. npj Digit. Medicine 5 (2022) - [c54]Shaun M. Davidson, Cristian Roman, Lionel Tarassenko:
Predicting Isolated Nocturnal Hypertension Using Dawn and Dusk Home Blood Pressure Monitoring. EMBC 2022: 3011-3014 - [c53]Eoin Finnegan, Shaun M. Davidson, Mirae Harford, João Jorge, Mauricio Villarroel, Lionel Tarassenko:
Classifying nocturnal blood pressure patterns using photoplethysmogram features. EMBC 2022: 3401-3404 - [c52]Benjamin Duvieusart, Felix Krones, Guy Parsons, Lionel Tarassenko, Bartlomiej W. Papiez, Adam Mahdi:
Multimodal Cardiomegaly Classification with Image-Derived Digital Biomarkers. MIUA 2022: 13-27 - 2021
- [j51]Peter H. Charlton, Timothy Bonnici, Lionel Tarassenko, David A. Clifton, Richard Beale, Peter J. Watkinson, Jordi Alastruey:
An impedance pneumography signal quality index: Design, assessment and application to respiratory rate monitoring. Biomed. Signal Process. Control. 65: 102339 (2021) - [j50]Mauro D. Santos, Cristian Roman, Marco A. F. Pimentel, Sarah Vollam, Carlos Areia, Louise Young, Peter J. Watkinson, Lionel Tarassenko:
A Real-Time Wearable System for Monitoring Vital Signs of COVID-19 Patients in a Hospital Setting. Frontiers Digit. Health 3: 630273 (2021) - [j49]João Jorge, Mirae Harford, Mauricio Villarroel, Sitthichok Chaichulee, Shaun M. Davidson, Eoin Finnegan, Samuel H. Clark, J. Duncan Young, Peter J. Watkinson, Lionel Tarassenko:
Non-Contact Assessment of Peripheral Artery Haemodynamics Using Infrared Video Thermography. IEEE Trans. Biomed. Eng. 68(1): 276-288 (2021) - [j48]Wenjin Wang, Steffen Leonhardt, Lionel Tarassenko, Caifeng Shan, Daniel McDuff:
Guest Editorial: Camera-Based Monitoring for Pervasive Healthcare Informatics. IEEE J. Biomed. Health Informatics 25(5): 1358-1360 (2021) - [c51]Declan Grant, Bartlomiej W. Papiez, Guy Parsons, Lionel Tarassenko, Adam Mahdi:
Deep Learning Classification of Cardiomegaly Using Combined Imaging and Non-imaging ICU Data. MIUA 2021: 547-558 - 2020
- [c50]Shaun M. Davidson, Mauricio Villarroel, Eoin Finnegan, Mirae Harford, João Jorge, Lionel Tarassenko:
Vital-Sign Synchrony as a Marker for Patient Circadian Rhythms in an Intensive Care Unit. CinC 2020: 1-4 - [c49]Eoin Finnegan, Mauricio Villarroel, Shaun M. Davidson, Mirae Harford, João Jorge, Lionel Tarassenko:
Comparing Circadian Rhythms in Blood Pressure Computed From the Arterial Line and Sphygmomanometer in the ICU. CinC 2020: 1-4
2010 – 2019
- 2019
- [j47]Mauricio Villarroel, Sitthichok Chaichulee, João Jorge, Sara Davis, Gabrielle Green, Carlos Arteta, Andrew Zisserman, Kenny McCormick, Peter J. Watkinson, Lionel Tarassenko:
Non-contact physiological monitoring of preterm infants in the Neonatal Intensive Care Unit. npj Digit. Medicine 2 (2019) - [j46]João Jorge, Mauricio Villarroel, Sitthichok Chaichulee, Gabrielle Green, Kenny McCormick, Lionel Tarassenko:
Assessment of Signal Processing Methods for Measuring the Respiratory Rate in the Neonatal Intensive Care Unit. IEEE J. Biomed. Health Informatics 23(6): 2335-2346 (2019) - [c48]Dario Salvi, Jameson Lee, Carmelo Velardo, Rishi Arvin Goburdhun, Lionel Tarassenko:
Mobistudy: An Open Mobile-Health Platform for Clinical Research. BIBE 2019: 918-921 - [c47]Marco A. F. Pimentel, Adam Mahdi, Oliver Redfern, Mauro D. Santos, Lionel Tarassenko:
Uncertainty-Aware Model for Reliable Prediction of Sepsis in the ICU. CinC 2019: 1-4 - 2018
- [j45]Delaram Jarchi, Dario Salvi, Lionel Tarassenko, David A. Clifton:
Validation of Instantaneous Respiratory Rate Using Reflectance PPG from Different Body Positions. Sensors 18(11): 3705 (2018) - [c46]Delaram Jarchi, Dario Salvi, Carmelo Velardo, Adam Mahdi, Lionel Tarassenko, David A. Clifton:
Estimation of HRV and SpO2 from wrist-worn commercial sensors for clinical settings. BSN 2018: 144-147 - [c45]Delaram Jarchi, Adam Mahdi, Lionel Tarassenko, David A. Clifton:
Visualisation of long-term ECG signals applied to post-intensive care patients. BSN 2018: 165-168 - [c44]Dario Salvi, Carmelo Velardo, Jamieson Brynes, Lionel Tarassenko:
An Optimised Algorithm for Accurate Steps Counting From Smart-Phone Accelerometry. EMBC 2018: 4423-4427 - [c43]Johanna O'Donnell, Carmelo Velardo, Syed Ahmar Shah, Gholamreza Salimi Khorshidi, Dario Salvi, Kazem Rahimi, Lionel Tarassenko:
Physical Activity and Sleep Analysis of Heart Failure Patients using Multi-sensor Patches. EMBC 2018: 6092-6095 - 2017
- [j44]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:
Digital health system for personalised COPD long-term management. BMC Medical Informatics Decis. Mak. 17(1): 19:1-19:13 (2017) - [j43]Marco A. F. Pimentel, Alistair E. W. Johnson, Peter Charlton, Drew A. Birrenkott, Peter J. Watkinson, Lionel Tarassenko, David A. Clifton:
Toward a Robust Estimation of Respiratory Rate From Pulse Oximeters. IEEE Trans. Biomed. Eng. 64(8): 1914-1923 (2017) - [j42]Andreas Triantafyllidis, Carmelo Velardo, Dario Salvi, Syed Ahmar Shah, Vassilios G. Koutkias, Lionel Tarassenko:
A Survey of Mobile Phone Sensing, Self-Reporting, and Social Sharing for Pervasive Healthcare. IEEE J. Biomed. Health Informatics 21(1): 218-227 (2017) - [c42]Sitthichok Chaichulee, Mauricio Villarroel, João Jorge, Carlos Arteta, Gabrielle Green, Kenny McCormick, Andrew Zisserman, Lionel Tarassenko:
Multi-Task Convolutional Neural Network for Patient Detection and Skin Segmentation in Continuous Non-Contact Vital Sign Monitoring. FG 2017: 266-272 - [c41]Mauricio Villarroel, João Jorge, Chris Pugh, Lionel Tarassenko:
Non-Contact Vital Sign Monitoring in the Clinic. FG 2017: 278-285 - [c40]João Jorge, Mauricio Villarroel, Sitthichok Chaichulee, Alessandro Guazzi, Sara Davis, Gabrielle Green, Kenny McCormick, Lionel Tarassenko:
Non-Contact Monitoring of Respiration in the Neonatal Intensive Care Unit. FG 2017: 286-293 - 2016
- [j41]David B. Springer, Lionel Tarassenko, Gari D. Clifford:
Logistic Regression-HSMM-Based Heart Sound Segmentation. IEEE Trans. Biomed. Eng. 63(4): 822-832 (2016) - [c39]Julien Oster, Lionel Tarassenko:
Automated ECG Ventricular Beat Detection with Switching Kalman Filters. CinC 2016 - 2015
- [j40]Andreas Triantafyllidis, Carmelo Velardo, Tracey Chantler, Syed Ahmar Shah, Chris Paton, Reza Khorshidi, Lionel Tarassenko, Kazem Rahimi:
A personalised mobile-based home monitoring system for heart failure: The SUPPORT-HF Study. Int. J. Medical Informatics 84(10): 743-753 (2015) - [j39]Arvind Raghu, Devarsetty Praveen, David Peiris, Lionel Tarassenko, Gari D. Clifford:
Engineering a mobile health tool for resource-poor settings to assess and manage cardiovascular disease risk: SMARThealth study. BMC Medical Informatics Decis. Mak. 15: 36 (2015) - [j38]Maxine Hardinge, Heather Rutter, Carmelo Velardo, Syed Ahmar Shah, Veronika Williams, Lionel Tarassenko, Andrew Farmer:
Using a mobile health application to support self-management in chronic obstructive pulmonary disease: a six-month cohort study. BMC Medical Informatics Decis. Mak. 15: 46 (2015) - [j37]Christina Orphanidou, Timothy Bonnici, Peter Charlton, David A. Clifton, David Vallance, Lionel Tarassenko:
Signal-Quality Indices for the Electrocardiogram and Photoplethysmogram: Derivation and Applications to Wireless Monitoring. IEEE J. Biomed. Health Informatics 19(3): 832-838 (2015) - 2014
- [j36]Marco A. F. Pimentel, David A. Clifton, Lei A. Clifton, Lionel Tarassenko:
A review of novelty detection. Signal Process. 99: 215-249 (2014) - [j35]Lei A. Clifton, David A. Clifton, Marco A. F. Pimentel, Peter J. Watkinson, Lionel Tarassenko:
Predictive Monitoring of Mobile Patients by Combining Clinical Observations With Data From Wearable Sensors. IEEE J. Biomed. Health Informatics 18(3): 722-730 (2014) - [j34]Lei A. Clifton, David A. Clifton, Yang Zhang, Peter J. Watkinson, Lionel Tarassenko, Hujun Yin:
Probabilistic Novelty Detection With Support Vector Machines. IEEE Trans. Reliab. 63(2): 455-467 (2014) - [j33]David A. Clifton, Lei A. Clifton, Samuel Hugueny, Lionel Tarassenko:
Extending the Generalised Pareto Distribution for Novelty Detection in High-Dimensional Spaces. J. Signal Process. Syst. 74(3): 323-339 (2014) - [c38]David B. Springer, Thomas Brennan, Jens Hitzeroth, Bongani M. Mayosi, Lionel Tarassenko, Gari D. Clifford:
Robust Heart Rate Estimation from Noisy Phonocardiograms. CinC 2014: 613-616 - [c37]David B. Springer, Lionel Tarassenko, Gari D. Clifford:
Support Vector Machine Hidden Semi-Markov Model-based Heart Sound Segmentation. CinC 2014: 625-628 - [c36]Alistair E. W. Johnson, Jonathan Burgess, Marco A. F. Pimentel, David A. Clifton, J. Duncan Young, Peter J. Watkinson, Lionel Tarassenko:
Physiological trajectory of patients pre and post ICU discharge1. EMBC 2014: 3160-3163 - [c35]Syed Ahmar Shah, Carmelo Velardo, Oliver J. Gibson, Heather Rutter, Andrew Farmer, Lionel Tarassenko:
Personalized alerts for patients with COPD using pulse oximetry and symptom scores. EMBC 2014: 3164-3167 - [c34]Carmelo Velardo, Syed Ahmar Shah, Oliver J. Gibson, Heather Rutter, Andrew Farmer, Lionel Tarassenko:
Automatic generation of personalised alert thresholds for patients with COPD. EUSIPCO 2014: 1990-1994 - [c33]David B. Springer, Thomas Brennan, Liesl J. Zuhlke, Hassan Y. Abdelrahman, Ntobeko Ntusi, Gari D. Clifford, Bongani M. Mayosi, Lionel Tarassenko:
Signal quality classification of mobile phone-recorded phonocardiogram signals. ICASSP 2014: 1335-1339 - [c32]Andreas Triantafyllidis, Carmelo Velardo, Syed Ahmar Shah, Lionel Tarassenko, Tracey Chantler, Chris Paton, Kazem Rahimi:
Supporting heart failure patients through personalized mobile health monitoring. MobiHealth 2014: 287-290 - 2013
- [j32]Christina Orphanidou, Susannah Fleming, Syed Ahmar Shah, Lionel Tarassenko:
Data fusion for estimating respiratory rate from a single-lead ECG. Biomed. Signal Process. Control. 8(1): 98-105 (2013) - [j31]David A. Clifton, Lei A. Clifton, Samuel Hugueny, David Wong, Lionel Tarassenko:
An Extreme Function Theory for Novelty Detection. IEEE J. Sel. Top. Signal Process. 7(1): 28-37 (2013) - [j30]Marco A. F. Pimentel, David A. Clifton, Lei A. Clifton, Peter J. Watkinson, Lionel Tarassenko:
Modelling physiological deterioration in post-operative patient vital-sign data. Medical Biol. Eng. Comput. 51(8): 869-877 (2013) - [j29]Lei A. Clifton, David A. Clifton, Marco A. F. Pimentel, Peter J. Watkinson, Lionel Tarassenko:
Gaussian Processes for Personalized e-Health Monitoring With Wearable Sensors. IEEE Trans. Biomed. Eng. 60(1): 193-197 (2013) - [j28]David A. Clifton, David Wong, Lei A. Clifton, Sarah J. Wilson, Rob Way, Richard Pullinger, Lionel Tarassenko:
A Large-Scale Clinical Validation of an Integrated Monitoring System in the Emergency Department. IEEE J. Biomed. Health Informatics 17(4): 835-842 (2013) - [c31]Marco A. F. Pimentel, David A. Clifton, Lei A. Clifton, Lionel Tarassenko:
Probabilistic estimation of respiratory rate using Gaussian processes. EMBC 2013: 2902-2905 - [c30]Sara Khalid, David A. Clifton, Lionel Tarassenko:
A Bayesian Patient-Based Model for Detecting Deterioration in Vital Signs Using Manual Observations. FHIES 2013: 146-158 - [c29]Mauro D. Santos, David A. Clifton, Lionel Tarassenko:
Performance of Early Warning Scoring Systems to Detect Patient Deterioration in the Emergency Department. FHIES 2013: 159-169 - [c28]David B. Springer, Kirsten L. Bobrow, Naomi Levitt, Andrew Farmer, Lionel Tarassenko:
The SMS-text adherence support (StAR) study: hardware and software infrastructure. ICTD (2) 2013: 147-150 - [c27]Marco A. F. Pimentel, David A. Clifton, Lionel Tarassenko:
Gaussian process clustering for the functional characterisation of vital-sign trajectories. MLSP 2013: 1-6 - 2012
- [j27]Thomas Brennan, Lionel Tarassenko:
Review of T-wave morphology-based biomarkers of ventricular repolarisation using the surface electrocardiogram. Biomed. Signal Process. Control. 7(3): 278-284 (2012) - [j26]Oliver J. Gibson, Joyce S. Balami, George A. Pope, Lionel Tarassenko, Ian P. Reckless:
"Stroke Nav": A wireless data collection and review system to support stroke care delivery. Comput. Methods Programs Biomed. 108(1): 338-345 (2012) - [j25]Sara Khalid, David A. Clifton, Lei A. Clifton, Lionel Tarassenko:
A Two-Class Approach to the Detection of Physiological Deterioration in Patient Vital Signs, With Clinical Label Refinement. IEEE Trans. Inf. Technol. Biomed. 16(6): 1231-1238 (2012) - [c26]David Wong, David A. Clifton, Lionel Tarassenko:
Probabilistic detection of vital sign abnormality with Gaussian process regression. BIBE 2012: 187-192 - [c25]Christina Orphanidou, Timothy Bonnici, David Vallance, Alexander Darrell, Peter Charlton, Lionel Tarassenko:
A method for assessing the reliability of heart rates obtained from ambulatory ECG. BIBE 2012: 193-196 - [c24]Marco A. F. Pimentel, David A. Clifton, Lei A. Clifton, Peter J. Watkinson, Lionel Tarassenko:
Vital-sign Data Fusion Models for Post-operative Patients. BIOSIGNALS 2012: 410-413 - [c23]Timothy Bonnici, Christina Orphanidou, David Vallance, Alexander Darrell, Lionel Tarassenko:
Testing of Wearable Monitors in a Real-World Hospital Environment: What Lessons Can Be Learnt? BSN 2012: 79-84 - [c22]Lei A. Clifton, David A. Clifton, Marco A. F. Pimentel, Peter J. Watkinson, Lionel Tarassenko:
Gaussian process regression in vital-sign early warning systems. EMBC 2012: 6161-6164 - [c21]David A. Clifton, Jeremy Gibbons, Jim Davies, Lionel Tarassenko:
Machine learning and software engineering in health informatics. RAISE@ICSE 2012: 37-41 - 2011
- [j24]David A. Clifton, Samuel Hugueny, Lionel Tarassenko:
Novelty Detection with Multivariate Extreme Value Statistics. J. Signal Process. Syst. 65(3): 371-389 (2011) - [c20]Sara Khalid, David A. Clifton, Lei A. Clifton, Lionel Tarassenko:
Optimising Classifiers for the Detection of Physiological Deterioration in Patient Vital-sign Data. BIOSIGNALS 2011: 425-428 - [c19]Mark E. Larsen, Andrew Farmer, Andrew Weaver, Annie Young, Lionel Tarassenko:
Mobile health for drug dose optimisation. EMBC 2011: 1540-1543 - [c18]Lei A. Clifton, David A. Clifton, Peter J. Watkinson, Lionel Tarassenko:
Identification of Patient Deterioration in Vital-Sign Data using One-Class Support Vector Machines. FedCSIS 2011: 125-131 - [c17]David A. Clifton, David Wong, Susannah Fleming, Sarah J. Wilson, Rob Way, Richard Pullinger, Lionel Tarassenko:
Novelty Detection for Identifying Deterioration in Emergency Department Patients. IDEAL 2011: 220-227 - [c16]David A. Clifton, Samuel Hugueny, Lionel Tarassenko:
Pinning the tail on the distribution: A multivariate extension to the generalised Pareto distribution. MLSP 2011: 1-6 - 2010
- [c15]Samuel Hugueny, David A. Clifton, Lionel Tarassenko:
Probabilistic Patient Monitoring using Extreme Value Theory - A Multivariate, Multimodal Methodology for Detecting Patient Deterioration. BIOSIGNALS 2010: 5-12 - [c14]Samuel Hugueny, David A. Clifton, Lionel Tarassenko:
Probabilistic Patient Monitoring with Multivariate, Multimodal Extreme Value Theory. BIOSTEC (Selected Papers) 2010: 199-211
2000 – 2009
- 2008
- [p1]David A. Clifton, Lei A. Clifton, Peter R. Bannister, Lionel Tarassenko:
Automated Novelty Detection in Industrial Systems. Advances of Computational Intelligence in Industrial Systems 2008: 269-296 - 2007
- [c13]David A. Clifton, Peter R. Bannister, Lionel Tarassenko:
Novelty Detection in Large-Vehicle Turbocharger Operation. IEA/AIE 2007: 591-600 - 2006
- [j23]Taigang He, Gari D. Clifford, Lionel Tarassenko:
Application of independent component analysis in removing artefacts from the electrocardiogram. Neural Comput. Appl. 15(2): 105-116 (2006) - [c12]Lisa Lazareck, Lionel Tarassenko:
Detection of apnoeic and breathing activity through pole-zero analysis of the SpO2 signal. EMBC 2006: 3879-3882 - [c11]Lisa Lazareck, Lionel Tarassenko:
Detection of apnoeic and breathing activity through pole-zero analysis of the SpO2 signal. EMBC (Supplement) 2006: 6573-6576 - [c10]David A. Clifton, Peter R. Bannister, Lionel Tarassenko:
Application of an Intuitive Novelty Metric for Jet Engine Condition Monitoring. IEA/AIE 2006: 1149-1158 - [c9]David A. Clifton, Peter R. Bannister, Lionel Tarassenko:
Learning Shape for Jet Engine Novelty Detection. ISNN (2) 2006: 828-835 - 2005
- [j22]Gari D. Clifford, Lionel Tarassenko:
Quantifying errors in spectral estimates of HRV due to beat replacement and resampling. IEEE Trans. Biomed. Eng. 52(4): 630-638 (2005) - 2004
- [j21]Mihaela Duta, Chris Alford, Sue Wilson, Lionel Tarassenko:
Neural Network Analysis of the Mastoid EEG for the Assessment of Vigilance. Int. J. Hum. Comput. Interact. 17(2): 171-195 (2004) - 2003
- [j20]Patrick E. McSharry, Gari D. Clifford, Lionel Tarassenko, Leonard A. Smith:
A dynamical model for generating synthetic electrocardiogram signals. IEEE Trans. Biomed. Eng. 50(3): 289-294 (2003) - [j19]Patrick E. McSharry, Leonard A. Smith, Lionel Tarassenko:
Comparison of predictability of epileptic seizures by a linear and a nonlinear method. IEEE Trans. Biomed. Eng. 50(5): 628-633 (2003) - [c8]Nicholas P. Hughes, Lionel Tarassenko, Stephen J. Roberts:
Markov Models for Automated ECG Interval Analysis. NIPS 2003: 611-618 - 2001
- [j18]Dileepan Joseph, Lionel Tarassenko, Steve Collins:
Analysis and simulation of a cascaded delta delta-sigma modulator. Comput. Stand. Interfaces 23(2): 103-110 (2001) - [j17]Lionel Tarassenko, Gari D. Clifford, Neil W. Townsend:
Detection of Ectopic Beats in the Electrocardiogram Using an Auto-Associative Neural Network. Neural Process. Lett. 14(1): 15-25 (2001) - 2000
- [j16]Lionel Tarassenko, Alexandre Nairac, Neil W. Townsend, I. Buxton, Peter Cowley:
Novelty detection for the identification of abnormalities. Int. J. Syst. Sci. 31(11): 1427-1439 (2000) - [c7]Paul M. Hayton, Bernhard Schölkopf, Lionel Tarassenko, Paul Anuzis:
Support Vector Novelty Detection Applied to Jet Engine Vibration Spectra. NIPS 2000: 946-952
1990 – 1999
- 1999
- [j15]Alexandre Nairac, Neil W. Townsend, Roy Carr, Steve King, Peter Cowley, Lionel Tarassenko:
A System for the Analysis of Jet Engine Vibration Data. Integr. Comput. Aided Eng. 6(1): 53-66 (1999) - [j14]Neil W. Townsend, Lionel Tarassenko:
Neural Networks for Mobile Robot Localisation using Infra-Red Range Sensing. Neural Comput. Appl. 8(2): 114-134 (1999) - [j13]Neil W. Townsend, Lionel Tarassenko:
Estimations of error bounds for neural-network function approximators. IEEE Trans. Neural Networks 10(2): 217-230 (1999) - 1998
- [j12]Ruth M. Ripley, Adrian L. Harris, Lionel Tarassenko:
Neural network models for breast cancer prognosis. Neural Comput. Appl. 7(4): 367-375 (1998) - 1997
- [j11]Paul M. Hayton, Michael Brady, Lionel Tarassenko, Niall Moore:
Analysis of dynamic MR breast images using a model of contrast enhancement. Medical Image Anal. 1(3): 207-224 (1997) - 1996
- [j10]Graham Cairns, Lionel Tarassenko:
Perturbation Techniques for on-Chip Learning with Analogue VLSI MLPs. J. Circuits Syst. Comput. 6(2): 93-114 (1996) - [j9]Lionel Tarassenko, R. M. Whitehouse, Giampietro Gasparini, Adrian L. Harris:
Neural Network Prediction of Relapse in Breast Cancer Patients. Neural Comput. Appl. 4(2): 105-113 (1996) - 1995
- [j8]Andrew Blake, Gabriel Hamid, Lionel Tarassenko:
A design for a visual motion transducer. IEEE Trans. Robotics Autom. 11(5): 625-633 (1995) - 1994
- [j7]Stephen J. Roberts, Lionel Tarassenko:
A Probabilistic Resource Allocating Network for Novelty Detection. Neural Comput. 6(2): 270-284 (1994) - 1993
- [j6]Lionel Tarassenko, Jon Tombs, Graham Cairns:
On-Chip Learning With Analogue Vlsi Neural Networks. Int. J. Neural Syst. 4(4): 419-426 (1993) - [j5]Jake Reynolds, Lionel Tarassenko:
Learning Pronunciation with the Visual Ear. Neural Comput. Appl. 1(3): 169-175 (1993) - [c6]Andrew Blake, Gabriel Hamid, Lionel Tarassenko:
A design for a visual motion transducer. ICCV 1993: 237-241 - 1992
- [j4]Jake Reynolds, Lionel Tarassenko:
Spoken Letter Recognition with Neural Networks. Int. J. Neural Syst. 3(3): 219-235 (1992) - [j3]Alister Hamilton, Alan F. Murray, Donald J. Baxter, Stephen Churcher, H. Martin Reekie, Lionel Tarassenko:
Integrated pulse stream neural networks: results, issues, and pointers. IEEE Trans. Neural Networks 3(3): 385-393 (1992) - 1991
- [j2]Alan F. Murray, Dante Del Corso, Lionel Tarassenko:
Pulse-stream VLSI neural networks mixing analog and digital techniques. IEEE Trans. Neural Networks 2(2): 193-204 (1991) - [c5]Lionel Tarassenko, A. Blake:
Analogue computation of collision-free paths. ICRA 1991: 540-545 - 1990
- [c4]Lionel Tarassenko, Michael Brownlow, Gillian Marshall, Jan Tombs, Alan F. Murray:
Real-Time Autonomous Robot Navigation Using VLSI Neural Networks. NIPS 1990: 422-428
1980 – 1989
- 1989
- [j1]