Publications

Neural network methodology

Medical applications

Business applications

Image processing

Process control

Neural network methodology

Journals

Nair, S., Mishra, V.,  Hayden, K. Lisboa, P.J.G., Pandya, B., Vinjamuri⁵, S., Hardy, K.J. and Wilding, J.P.H. ‘The 4-variable MDRD formula underestimates glomerular filtration rate in the obese type 2 diabetic subjects with chronic kidney disease’ accepted for Diabetologia

Biganzoli, E.M., Coradini, D., Ambrogi, F., Garibaldi, J.M., Lisboa, P.J.G., Soria, D., Green, A.R., Pedriali, M.,  Piantelli, M., Querzoli, P., Demicheli, R., Boracchi, P.,  Nenci, I., Ellis, I.O. and Alberti, S. ‘P53 status identifies two subgroups of triple-negative breast cancers with distinct biological features’ accepted for  Japanese Journal of Clinical Oncology.

Taylor, M.J., Matata, B., Stables, R., Laws, A., England, D. and Lisboa, P.J.G. ‘Issues in online patient self-reporting of health status’ accepted for  Health Informatics Journal

Tume, L.N., Baines, P.B. and Lisboa, P.J.G. ‘The effect of nursing interventions on the intracranial pressure in paediatric traumatic brain injury’ Nursing in Critical Care, 6(2):77-84, 2011. 

Bellis, M.A., Hughes, K., Quigg, Z., Morleo, M., Jarman, I.H. and Lisboa, P.J.G. ‘Cross-sectional measures and modelled estimates of blood alcohol levels in UK nightlife and their relationships with drinking behaviours and observed signs of inebriation’ BMC Substance Abuse Treatment, Prevention, and Policy, 5:5, 2010.

Bellis, M.A., Hughes, K., Quigg, Z., Morleo, M., Jarman, I.H. and Lisboa, P.J.G. ‘Cross-sectional measures and modelled estimates of blood alcohol levels in UK nightlife and their relationships with drinking behaviours and observed signs of inebriation’ BMC Substance Abuse Treatment, Prevention, and Policy, 5:5, 2010.

Jarman, I.H., Etchells, T.A., Bacciu, D., Garibaldi, J. M, Ellis, I.O. and Lisboa, P.J.G.  ‘Clustering of protein expression data: a benchmark of statistical and neural approaches’, R. Tagliaferri, F. Masulli (eds.), Special Issue on "Advances in Computational Intelligence and Bioinformatics", Soft Computing: A Fusion of Foundations, Methodologies and Applications, DOI 10.1007/s00500-010-0596-9, 2010

Ardonio I., Ambrogi F., Iacobelli S., Zervakis M., Manikis G., Boracchi P., Vignetti M., Lisboa P.J.G., Starita A. and Biganzoli E. ‘Evaluation of short- and long-term response to treatment in the GIMEMA protocol for Acute Myeloid Leukaemia’, International Journal for Biomedical Engineering and Technology, 3(3-4): 329-348, 2010.

Soria, D., Garibaldi, J.M., Ambrogi, F., Green, A.R., Powe, D., Rakha, E., Douglas Macmillan, R., Blamey, R.W., Ball, G., Lisboa, P.J.G., Etchells, T.A., Boracchi, P., Biganzoli, E. And Ellis, I.O. ‘A methodology to identify consensus classes from clustering algorithms applied to immunohistochemical data from breast cancer patients’ Computers in Biology and Medicine, 40:318-330, 2010.

Lisboa, P.J.G., Vellido, A., Tagliaferri, R., Napolitano, F., Ceccarelli, M., Martín-Guerrero, J.D. and Biganzoli, E. ‘Data Mining in Cancer Research’, Invited Paper, IEEE Computational Intelligence Magazine, February 2010:14-18.

Taktak, A.F.G., Eleuteri, A., Aung, M.S.H, Lisboa, P.J.G., Desjardins, L. and Damato, B. ‘Survival analysis in cancer using a partial logistic neural network model with Bayesian regularisation framework: A validation study’ International Journal of Knowledge Engineering and Soft Data Paradigms, 1(3):277- 295, 2009.

Fernandes, A.S., Fonseca, J.M., Jarman, I.H., Etchells, T.A., Lisboa, P.J.G., Biganzoli, E.M. and Bajdik, C. ‘Evaluation of missing data imputation in longitudinal cohort studies in breast cancer survival’ International Journal of Knowledge Engineering and Soft Data Paradigms, 1(3):257-275, 2009.

Faulke, D., Etchells, T.A., Harrison, M.J. and Lisboa, P.J.G. ‘Determination of mode of ventilation using OSRE’ Computers in Biology and Medicine, 39(11):1032-1035, 2009.

Rögnvaldsson, T., Etchells, T.A., You, L., Garwicz, D., Jarman, I.H. and Lisboa, P.J.G. ‘How to find simple and accurate rules for viral protease cleavage specificities’ BMC Bioinformatics, 10:149, 2009.

Lisboa, P.J.G., Etchells, T.A., Jarman, I.H., Arsene, C.T.C., Aung, M.S.H., Eleuteri, A., Taktak, A. F. G., Ambrogi, F., Boracchi, P. and Biganzoli, E.M. 'Partial Logistic Artificial Neural Network for Competing Risks Regularised with Automatic Relevance Determination ' I.E.E.E. Transactions on Neural Networks, 20(9):1403-1416, 2009.

Al-Fayad, A., Hussain, A.J., Al-Jumeily, D. and Lisboa, P.J.G. ‘A Novel Hybrid Classified Vector Quantisation using Discrete Cosine Transform for Image compression’, Journal of Electronic Imaging, 18(2): 023003, 2009.

Bacciu, D., Biganzoli, E., Lisboa, P.J.G. and Starita, A. ‘Are model-based clustering and neural clustering algorithms consistent? A case study from bioinformatics’ Lovrek, I.,  Howlett, R.J. and  Jain, L.C. (eds.):Knowledge-Based Intelligent Information and Engineering Systems, 12th International Conference, KES 2008, Zagreb, Croatia, Part II. Lecture Notes in Computer Science 5178 Springer 2008: 181-188.

Etchells, T.A., Fernandes, A.S., Jarman, I.H., Fonseca, J.M. and Lisboa, P.J.G. ‘Stratification of severity of illness indices: a case study for breast cancer prognosis’ Lovrek, I.,  Howlett, R.J. and  Jain, L.C. (eds.): Knowledge-Based Intelligent Information and Engineering Systems, 12th International Conference, KES 2008, Zagreb, Croatia, Part I. Lecture Notes in Computer Science 5178 Springer 2008: 214-221.

Lisboa, P.J.G., Ellis, I.O., Green, A.R., Ambrogi, F. and M.B. Dias ‘Cluster-based visualisation with scatter matrices’, Pattern Recognition Letters, 29(13): 1814-1823, 2008.

Hussain, A.J., Knowles, A., Lisboa, P.J.G. and El-Deredy, W. ‘Polynomial Pipelined Neural Network and its application to financial time series prediction’ Expert Systems with Applications, 35(3): 1186-1199, 2008.

Badshah, S, Lisboa, P.J.G., Mason, L., McKelvie, K. and Payne, R. ‘Impact of geo-demographics, maternal health and pregnancy history on incidence of low birth-weight in public hospitals in Peshawar, NWFP’ BMC Public Health, 8:197, 2008.

Jarman, I.H., Etchells, T.A., Martín, J.D. and Lisboa, P.J.G. ‘An integrated framework for risk profiling of breast cancer patients following surgery’ Artificial Intelligence in Medicine, 42: 165-188, 2008.

Lisboa, P.J.G., Etchells, T.A., Jarman, I.H., Aung, M.S.H., Chabaoud, S., Bachelot, T., Perol, D., Gargi, T., Bourdès, V, Bonnevay, S and Négrier, S. ‘Time-to-event analysis with artificial neural networks: an integrated analytical and rule-based study for breast cancer’ Neural Networks, 21(2-3): 414-426, 2008.

Taktak, A., Antolini, L., Aung, M.H., Boracchi, P., Campbell, I., Damato, B., Ifeachor, E.C, Lama, N., Lisboa, P.J.G, Setzkorn, C., Stalbovskaya, V. and Biganzoli, E.M. ‘Double-blind evaluation and benchmarking of survival models in a multi-centre study’ Computers in Biology and Medicine, 37 (8): 1108-1120, 2007.

Lisboa, P.J.G., Jarman, I.H., Etchells, T. A. and Ramsey, P. ‘A Prototype Integrated Decision Support System for Breast Oncology’ Lecture Notes in Computer Science 4507:996-1003, 2007. 

Vellido, A., and Lisboa, P.J.G. ‘Neural Networks and other Machine Leaning Methods in Cancer Research’ Lecture Notes in Computer Science 4507:964-971, 2007.

Aung, M.S.H,  Lisboa, P.J.G., Etchells, T.A., Testa, A.C., Van Calster, B., Van Huffel, S., Valentin, L. and Timmerman, D. ‘Comparing Analytical Decision Support Models Through Boolean Rule Extraction: A Case Study of Ovarian Tumour Malignancy’ Lecture Notes in Computer Science 4492:1177-1186 , 2007.

Hussain, A.J., Al-Fayad, A., Al-Jumeily, D., Lisboa, P.J.G. and Liatsis, P. ‘Image Compression Using Improved Hybrid Classified Vector Quantisation’ Electronic Letters, 43, 7:385-387, 2007.

Martín-Guerrero, J.D., Lisboa, P.J.G., Soria-Olivas, E., Palomares, A. and Balaguer, E. ‘An approach based on the Adaptive Resonance Theory for analysing the viability of recommender systems in a citizen Web portal’ Expert Systems with Applications, 33: 743-753, 2007.

Fisher, A.C., El-Deredy, W., Hagan, R.P., Brown, M.C. and Lisboa, P.J.G. ‘Removal of eye movement artefacts from single channel recordings of retinal evoked potentials using dynamical embedding and independent component analysis’ Medical and Biological Engineering and Computing 45, 1:69-77, 2007.

Barton, G.J., Lees, A., Lisboa, P.J.G. and Attfield, S. ‘Gait Quality Assessment Using Self-Organising Artificial Neural Networks’, Gait and Posture, 25, 3: 374-379, 2007.

Vellido, A., Lisboa, P.J.G. and Vicente, D. ‘Robust analysis of MRS brain tumour data using t-GTM’, Neurocomputing. 69 (7-9): 754-768, 2006.

Vellido, A. and Lisboa, P.J.G. ‘Handling outliers in brain tumour MRS data analysis through robust topographic mapping’ Computers in Biology and Medicine, 36 (10): 1049-1063, 2006.

Grudin, M.A., Lisboa, P.J.G. and Harvey, D.M. ‘Selection of Localized Salient Features from a Single Facial Image’ IEE Proc.-Vision, Image and Signal Processing, 153 (4):461-467, 2006.

Lisboa, P.J.G. and Taktak, A.F.G. ‘The use of artificial neural networks in decision support in cancer: a systematic review’, Neural Networks, 19: 408-415, 2006.

Barton, G.J., Lees, A., Lisboa, P.J.G. and Attfield, S. ‘Visualisation of gait data with Kohonen self organising neural maps’ Gait and Posture, 24, 1: 46-53, 2006.

Martín-Guerrero, J.D., Lisboa, P.J.G., Soria-Olivas, E., Palomares, A. and Balaguer, E. ‘An approach based on the Adaptive Resonance Theory for analysing the viability of recommender systems in a citizen Web portal’ accepted for Expert Systems and Applications. (ISSN 0957-4174)

Etchells, T.A. and Lisboa, P.J.G. ‘Rule extraction from neural networks: a practical and efficient approach’ IEEE Transactions on Neural Networks, 17 (2): 374-384, 2006. (ISSN 1045-9227 IF 2.18) (pdf)

Vellido, A., Lisboa, P.J.G. and Vicente, D. ‘Robust analysis of MRS brain tumour data using t-GTM’, Neurocomputing. 69 (7-9): 754-768, 2006. (ISSN 0925-2312)

Lisboa, P.J.G. and Taktak, A.F.G. ‘The use of artificial neural networks in decision support in cancer: A Systematic Review’, Neural Networks, 19: 408-415, 2006.

Grudin, M.A., Lisboa, P.J.G. and Harvey, D.M. ‘Selection of Localized Salient Features from a Single Facial Image’ IEE Proc.-Vision, Image and Signal Processing, 153 (4):461-467, 2006. (ISSN 1350-234X)

Vellido, A. and Lisboa, P.J.H. ‘Handling outliers in brain tumour MRS data analysis through robust topographic mapping’ Journal of Computers in Biology and Medicine, 36 (10): 1049-1063, 2006.

Vellido, A., El-Deredy, W., and Lisboa, P.J.G. 'Selective Smoothing of the Generative Topographic Mapping,  IEEE Transactions on Neural Networks,14, 4, 847-852,  2003 (ISSN 1045-9227 TC 3 IF 2.18) (pdf)

Lisboa, P.J.G., Etchells, T.A and Pountney, D.C. ‘Minimal MLPs do not model the XOR logic’ Neurocomputing, Rapid Communication, 48, 1-4,1033-1037, 2002 (pdf)

Lisboa. P.J.G., Vellido, A. and Wong, H. 'Bias reduction in skewed binary classification with Bayesian neural networks'  Neural Networks, 13, 407-410. 2000 (pdf)

Perantonis S.J. and Lisboa P.J.G. 'Higher-Order Networks for Invariant Recognition of Hand-Written Numerals' I.E.E.E. Transactions on Neural Networks, 2, 3, 541-551, 1992.

Lisboa P.J.G. and Perantonis S.J. 'Complete Solution of the Local Minima in the XOR Problem' Network: Computation in Neural Systems, 2, 1, 119-124, 1991.

Lisboa P.J.G. and Perantonis S.J. 'Convergence of Recursive Associative Memories Obtained Using the Multi-layered Perceptron' Journal of Physics A, 17, 4039-4053, 1990.

Books and book chapters

Soria, E., Martín, J.D. and Lisboa, P.J.G. ‘Classical training methods’ in Alba, E. and Martí, R. (eds.) Metaheuristic procedures for training neural networks, ­Springer-Verlag: Operations Research and Decision Theory 2006. (ISBN 0-387-33415-7)

Lisboa, P.J.G. 'Industrial Use of Safety-Related Artificial Neural Networks', HSE Books, 2001. (Contract research report 327/2001) ISBN 0717619710 (pdf)

Taylor, M.J. and Lisboa, P.J.G. (eds.) 'Techniques and Application of Neural Network'  Ellis Horwood, London, 308pp, 1993.

Lisboa P.J.G. (ed.) 'Neural Networks: Current Applications' Chapman and Hall, London, 304pp, 1992.

Conferences

Etchells, T.A., Nebot, A., Vellido, A., Lisboa, P.J.G. and Mugica, F. 'Learning what is important: feature selection and rule extraction in a virtual course' ESANN'2006 proceedings - European Symposium on Artificial Neural Networks, Bruges (Belgium), 26-28 April 2006, d-side publi., pp 401-406, ISBN 2-930307-06-4

Etchells, T.A. & Lisboa, P.J.G. 'On Rule Extraction from Smooth Decision Surfaces' NWSMED/CIMED, Proc. 5^th International Conference, Sheffield Hallam University, UK pp 23-28, 2003.

Agogino, A., Ghosh, J., Perantonis, S.J., Virvilis, V. , Petridis, S. and Lisboa. P.J.G. 'The role of multiple, linear-projection based visualization techniques in RBF classification of high-dimensional data' to appear in International Joint Conference on Neural Newtoks, Como, 24-27 July, 2000.

Lisboa, P.J.G., El-Deredy, W., Vellido, A., Etchells, T. and Pountney, D.C. 'Automatic Variable Selection and Rule Extraction Using Neural Networks', Proc. of the 15th IMACS World Congress on Scientific Computation, Modelling and Applied Mathematics, Berlin, 461-466, 1997.

Medical applications

Journals

Taktak, A., Antolini, L., Aung, M.H., Boracchi, P., Campbell, I., Damato, B., Ifeachor, E.C, Lama, N., Lisboa, P.J.G, Setzkorn, C., Stalbovskaya, V. and Biganzoli, E.M. ‘Double-blind evaluation and benchmarking of prognostic models in a multi-centre study’ accepted for Computers in Medicine and Biology. (ISSN 0010-4825 IF 1.36)

Fisher, A.C., El-Deredy, W., Hagan, R.P., Brown, M.C. and Lisboa, P.J.G . ‘Removal of blink and eye movement artefacts from single channel recordings of retinal evoked potential records by independent component analysis (ICA) preceded by synchronous dynamical embedding (sDEM)’ accepted for Medical and Biological Engineering and Computing. (ISSN 0140-0118 print, 1741-0444 electronic IF 1.07)

Barton, G.J., Lees, A., Lisboa, P.J.G. and Attfield, S. ‘Gait Quality Assessment Using Self-Organising Artificial Neural Networks’ accepted for Gait and Posture. (ISSN 0966-6362 IF 1.73)

Etchells, T.A., Harrison , M.J. 'Orthogonal Search-based Rule Extraction for Modelling the Decision to Transfuse'  Anaesthesia, 61 (4), pp 335–338, 2006

Vellido, A. and Lisboa, P.J.H. ‘Handling outliers in brain tumour MRS data analysis through robust topographic mapping’ Journal of Computers in Biology and Medicine, 36 (10): 1049-1063, 2006. (ISSN 0010-4825) (pdf)

Alfredo Vellido, Paulo J.G. Lisboa, and Dolores Vicente 'Robust analysis of MRS brain tumour data using t-GTM' accepted for Neurocomputing.

Barton, G.J., Lees, A., Lisboa, P.J.G. and Attfield, S ‘Visualisation of gait data with Kohonen self organising neural maps’ Gait and Posture, 24, 1: 46-53, 2006. (ISSN 0966-6362 IF 1.73) (pdf)

Lisboa, P.J.G. and Taktak, A.F.G. ‘The use of artificial neural networks in decision support in cancer: A Systematic Review’, Neural Networks, 19: 408-415, 2006. (ISSN 0893-6080 IF 1.74)

Huang, Y., Lisboa, P.J.G. and El-Deredy, W. 'Tumour grading from Magnetic Resonance Spectroscopy: a comparison of feature extraction with variable selection' Statistics in Medicine, vol. 22, no. 1, pp. 147-164, 2003 (pdf)

Lisboa, P.J.G., Wong, H., Harris, P. and Swindell, R., “A Bayesian neural network approach for modelling censored data with an application to prognosis after surgery for breast cancer,” Artificial Intelligence in Medicine, vol. 28, no. 1, pp. 1-25, 2003.(pdf)

Lisboa, P.J.G. ‘A review of evidence of health benefit from artificial neural networks in medical intervention’, Neural Networks, Invited Paper, 15(1), 9-3, 2002 (pdf)

Lee, Y.Y.B., Huang, Y., El-Deredy, W., Lisboa, P.J.G., Arús, C. and Harris, P. ‘Robust Methodology for the Discrimination of Brain Tumours from in vivo Magnetic Resonance Spectra’ IEE Proceedings - Science, Measurement and Technology, 147, 6, 309-314, 2000.

Lisboa, P.J.G., Kirby, S.J.P., Vellido, A., Lee, Y.Y.B. and El-Deredy, W. ‘Assessment of Statistical and Neural Network Methods in NMR Spectral Classification and Metabolite Selection’ Nuclear Magnetic Resonance in Biomedicine, 11, 225-234, 1998.

Books & book chapters

Lisboa, P.J.G. Preface; Arséne, C.T.C. and Lisboa, P.J.G. ‘Artificial Neural Networks used in the Survival Analysis of Breast Cancer Patients: a Node Negative Study’ Taktak, A., Fisher, A.C. (eds.) Outcome prediction in cancer, Elsevier, 2007. (ISBN 0-444-52855-5)

Lisboa, P.J.G., Ifeachor, E.C. and Szczepaniak, P.S. (eds.) 'Artificial Neural Networks in Biomedicine' Springer, London, 282pp, 2000.

Szczepaniak, P.S., Lisboa, P.J.G. and Kacprzyk, J. (eds.) 'Fuzzy Systems in Medicine' , J. (eds.) 'Fuzzy Systems in Medicine' Physica-Verlag,Berlin, 698pp, 2000.

Lisboa, P.J.G., Vellido, A. and Wong, H. 'Outstanding Issues for Clinical Decision Support with Neural Networks' Keynote address, in H.Malmgren, M. Borga, and L. Niklasson (eds.)  'Artificial Neural Networks in Medicine and Biology' Springer, London, 63-71, 2000.(pdf)

Lisboa, P.J.G., El-Deredy, W., Lee, Y.Y.B., Huang, Y., Corona Hernandez, A.R. and Harris,P. 'Characterisation of Brain Tissue from MR Spectra for Tumour Discrimination' to appear in H. Yan (ed.) Signal Processing for Magnetic Resonance Imaging and Spectroscopy, Marcel Dekker, New York, 2000.

Lisboa, P.J.G. 'The Taming of the Shrew: Putting Neural Networks to Work in Medicine' Keynote address, in E.C. Ifeachor, A. Sperduti and A. Starita (eds.), Neural Networks and Expert Systems in Medicine and Health Care, World Scientific, Singapore, 12-19, 1998.

Conferences

Harrison M.J. & Etchells T.A. 'Determination of mode of ventilation using OSRE' Conference Programme NZ Anaesthesia Annual Scientific Meeting, Aug 2006, p33.

Prize for Best Paper at the Conference
Fisher, A.C., Hagan, R.P., Brown, M.C., El-Deredy, W. and Lisboa, P.J.G.
‘ICA-based blind source separation recovery of the pattern electroretinogram (PERG)
from single channel records with poor SNR’ IET 3rd Int Conf Advances in Medical, Signal and Information Processing (MEDSIP), 17-19th July 2006, Glasgow.  

Jarman, I.H., Etchells, T.A. and Lisboa, P.J.G. 'Intelligent interface for adjuvant
treatment planning in breast cancer' in Proc. Workshop in Intelligent Data Analysis in
Medicine and Pharmacology, 10th conf on Artificial Intelligence in Medicine (AIME),
Aberdeen, Scotland, July 24, 2005.

Jarman, I.H.,  Etchells, T.A. and Lisboa, P.J.G. ‘The affect of imputing missing data for variables used in an accepted prognostic model for breast cancer’, to appear in  Proc. Computational Intelligence in Medicine (CIMED), 29^th June-2^nd July, Lisbon, 2005.

Jarman, I.H. and Lisboa, P.J.G. ‘The non-linear effect of a PLANN-ARD prognostic model when compared with a linear model for breast cancer patients’ Proc. Computational Intelligence in Medicine (CIMED), 29th June-2nd July, Lisbon, pp. 257-262 ,2005, (ISBN 0-86341-520-2).

Aung, M.S.H., Lisboa, P.J.G., Taktak, A.F.G. and Damato, B.E. ‘Modelling survival of intraocular melanoma using a partial logistic artifical neural network with automatic relevance determination and orthogonal search based rule extraction’ to appear in  Proc. Computational Intelligence in Medicine (CIMED), 29th June-2nd July, Lisbon, 2005.

Arséne, C.T.C. and Lisboa, P.J.G. ‘Node-negative breast cancer prognosis based on a Bayesian neural network approach with censored data’ to appear in  Proc. Computational Intelligence in Medicine (CIMED), 29th June-2nd July, Lisbon , 2005.

Etchells, T.A, Jarman, I.H. and Lisboa, P.J.G. ‘Empirically Derived Rules for Adjuvant Chemotherapy in Breast Cancer Treatment’ Advances in Medical Signal and Information Processing (MEDSIP), 6-8 September, pp. 345-351, Malta , 2004, (ISBN 0-86431-439-7)

Jarman, I.H. and Lisboa, P.J.G. ‘A Comparative Study of NPI and PLANN-ARD By Prognostic Accuracy and Treatment Allocation for Breast Cancer Patients’ Advances in Medical Signal and Information Processing (MEDSIP), 6-8 September, pp. 337-344, Malta, 2004, (ISBN 0-86431-439-7)

Martín, J.D., Jarman, I.H., Lisboa, P.J.G. and Etchells, T.A. ‘Profiling Prognostic Groups of Breast Cancer Patients using Clustering’ Advances in Medical Signal and Information Processing (MEDSIP), 6-8 September, pp. 313-320, Malta, 2004, (ISBN 0-86431-439-7)

Lisboa, P.J.G. and Wong, H. Are neural networks best used to help logistic regression? An example from breast cancer survival analysis.  Proc. International Joint Conference on Neural Networks, Washington. D.C., paper 577, 4-19 July, 2001.(pdf)

P.J.G. Lisboa, H. Wong, P. Harris and R. Swindell A retrospective study of breast cancer prognosis using artificial neural networks, in Papadourakis, G.M. (ed.) Proc. 4^th International Conference on Neural Networks and Expert Systems in Medicine and Healthcare (NNESMED), Milos, Greece, pp. 125-131, 20-22 June, 2001.(pdf)

Szczepaniak, P. S., Lisboa, P.J.G. and Ifeachor, E.C. 'Artificial Neural Networks in Medicine - Survey of Applications', to appear in 2nd International ICSC Symposium on Neural Computation, NC'2000, Berlin, May
23-26, 2000.

Wong, H., Harris, P., Lisboa, P.J.G., Kirby, S.P.J. and Swindell, R. 'Dealing with Censorship in Neural Network Models', International Joint Conference on Neural Networks, Washington, D.C., Paper No. 388, 1999.

Lisboa, P.J.G., Wong, H., Vellido, A., Kirby, S.P.J., Harris, P. and Swindell, R. ‘Survival of Breast Cancer Patients Following Surgery: a Detailed Assessment of the Multi-Layer Perceptron and Cox’s Proportional Hazard Model’, World Congress on Computational Intelligence, Anchorage, Alaska, IJCNN, 112-116, 1998.

Branston, N.M., El-Deredy, W., Lisboa, P.J.G. and Thomas, D.G.T. ‘Visualisation of Human Basial Ganglia Neuron Responses Using the Generative Topographic Mapping (GTM) Algorithm’, World Congress on Computational Intelligence, Anchorage, Alaska, IJCNN, 326-331, 1998.

Lisboa, P.J.G., El-Deredy, W., Vellido, A., Etchells, T. and Pountney, D.C. ‘Automatic Variable Selection and Rule Extraction Using Neural Networks’, Proc. of the 15th IMACS World Congress on Scientific Computation, Modelling and Applied Mathematics, Berlin, 461-466, 1997.

Lisboa, P.J.G, Branston, N.M., El-Deredy, W. and Vellido, A. ‘Tissue Characterisation with NMR Spectroscopy; Current State and Future Prospects for the Application of Neural Networks Analysis’, Proceedings of the IEEE/INNS International Joint Conference on Neural Networks, Houston, 1385-1390, 1997.

Lisboa. P.J.G. 'The Application of Artificial Intelligence Methods to Cancer Research in the UK' Proceedings of the International Conference on Neural Networks and Expert Systems in Medicine and Health Care, NNESMED-96, Plymouth, 186-192, 1996.

Lisboa, P.J.G., El-Deredy, W., Mehridehnavi, A.R., and Branston, N.M. 'Tumour Detection from Nuclear Magnetic Resonance Spectra Using Neural Networks' -idem-, 143-153, 1996.

Abstracts

Lee, Y.Y.B., Huang, Y., El-Deredy, W., Lisboa, P.J.G. and Harris, P. ‘Robust methodology for the discrimination of brain tumours from in vivo Magnetic Resonance spectra’ Proceedings of MEDSIP, Bristol, pp 88-95, 4-6 September, 2000. Keynote address (pdf).

Lee, Y.Y.B, Harris, P, Lisboa, P.J.G., and El-Deredy, W. 'Systematic variable selection methodology for in-vivo MRS of brain tumours' 16th Annual Meeting of the European Society for Magnetic Resonance in Medicine and Biology, Sevilla, abstract 178, September 1999.

Lee, Y.Y.B, Lisboa, P.J.G., El-Deredy, W. and Harris, P 'Visualisation of in-vivo MRS brain tumours for robust classification' 16th Annual Meeting of the European Society for Magnetic Resonance in Medicine and Biology, Sevilla, abstract 603, September 1999.

Lisboa, P.J.G., Vellido, A., Aung, H., El-Deredy, W., Lee, Y.Y.B. and Kirby, S.P.J. ‘Quantification of uncertainty in tissue characterisation with NMR Spectra’ 6th Scientific Meeting of the International Society for Magnetic Resonance in Medicine, Sydney, abstract 1851, April 1998.

Lisboa, P.J.G., Vellido, A., Aung, H., El-Deredy, W., Lee, Y.Y.B. and Kirby, S.P.J. 'Quantification of uncertainty in tissue characterisation with NMR Spectra' 6th Scientific Meeting of the International Society for Magnetic Resonance in Medicine, Sydney, abstract  1851, April 1998.

Lisboa, P.J.G., Vellido, A., El-Deredy, W. and Auer, D. 'Pattern Recognition Analysis of MRS: A Benchmark of Linear Statistical Methods and Neural Networks' Proc. of the 14th Annual Meeting of the European Society of Magnetic Resonance in Medicine and Biology, Brussels, abstract 224, September 1997.

El-Deredy, W., Tonn, J.-C., Pietsch, T., Branston, N.M., Scheutzow, D, Darling, D.L., Lisboa, P.J.G., Haase, A. and Thomas, D.G.T. 'Self-Organising Maps of 1H MRS of Brain Tumours Lipid Extracts' Proc. of the 14th Annual Meeting of the European Society of Magnetic Resonance in Medicine and Biology, Brussels, abstract 578, September 1997.

Martin, P.A., Lisboa, P.J.G., Mehridehnavi, A.R. and Edwards R.H.T. 'Interpretation of NMR Spectra via Neural Networks: Opening Pandora's Box' 2nd Scientific Meeting of the Society for Magnetic Resonance in Medicine, San Francisco, August 1994.

Business applications

Journals

Hussain, A.J., Knowles, A., Lisboa, P.J.G., El-Deredy, W. and Al-Jumeily, D. ‘Polynomial pipelined neural network and its application to financial series prediction’ Lecture Notes in Computer Science: AI 2006 Advances in Artificial Intelligence, 4304: 597-606, 2006. (ISSN 0302-9743)

Lindemann, A., Dunis, C. and Lisboa, P.J.G ‘Extending the Variance Ratio Test to Visualise Structure in Data: An Application to the S&P 100 Index’ Applied Financial Economics Letters, 1, 189-197, 2005. (pdf)

Tang , Z., Taylor, M.J., Lisboa, P.J.G. and Dyas, M. ‘Framework for quantitative risk modelling in the development of new pharmaceutical compounds’ Drug Discovery Today, 10(22):1520-6, 2005.

Lindemann, A., Dunis, C. and Lisboa, P.J.G ‘Probability Distribution Architectures for Trading Silver’ Neural Network World, 15 (5): 437-470, 2005.

Lindemann, A., Dunis, C. and Lisboa, P.J.G ‘Probability Distributions and Leveraged Trading Strategies: An Application of Gaussian Mixture Models to the Morgan Stanley High Technology 35 Index’ Quantitative Finance, 5 (5):459-474, 2005.

Lindemann, A., Dunis, C. and Lisboa, P.J.G ‘Probability Distributions, Trading Strategies and Leverage: An Application of Gaussian Mixture Models’ Journal of Forecasting, 23(8):559-585, 2004.

Lindemann, A., Dunis, C. and Lisboa, P.J.G ‘Level estimation, classification and probability distribution architectures for trading the EUR/USD exchange rate’ Neural Computing Applications, 14(3):256-271, 2004.

Lisboa, P.J.G. and Patel, S. ‘Cluster-based Visualisation of Marketing Data’ Lecture Notes in Computer Science 3177: 552-558, 2004.

Vellido, A and Lisboa, P.J.G 'An electronic commerce application of the Bayesian Framework for MLPs: the Effect of Marginalization and ARD'. Neural Computing & Applications, 10(1), 2001.

Vellido, A., Lisboa, P.J.G. & Meehan, K.: The Generative Topographic Mapping as a principled model for data visualization and market segmentation: an electronic commerce case study. International Journal of Computers, Systems, and Signals.  Especial issue on Knowledge Discovery from Structured and Unstructured Data, Vol.1(2), pp.119-138, 2000 (pdf)

Vellido, A, Lisboa, P.J.G and Meehan, K 'Quantitative characterization and prediction of on-line purchasing behaviour: a latent variable approach' International Journal of Electronic Commerce, 4(4), 83-104, 2000.

Vellido, A., Lisboa, P.J.G. and Meehan, K. ‘Segmenting the e-commerce market using the Generative Topographic Mapping’ Lecture Notes on Artificial Intelligence 1793: 470-481, 2000.

Vellido, A., Lisboa, P.J.G and Vaughan, J. 'Neural networks in business: a survey of applications (1992-1998)' Expert Systems with Applications, 17, 51-70, 1999 (pdf)

Vellido, A., Lisboa, P.J.G and Meehan, K., 'Segmentation of the on-line shopping market using neural networks' Expert Systems with Applications, 17, 303-314, 1999.

Books & book chapters

Vellido, A., Lisboa, P.J.G. & Meehan, K.: Characterizing and Segmenting the On-Line Customer Market Using Neural Networks. In J. Segovia, P.S. Szczepaniak, M. Niedzwiedzinski (eds) E-Commerce and Intelligent Methods. Heidelberg: Springer-Verlag, 2002.

Lisboa, P.J.G., Vellido, A. and Edisbury, B. (eds.) 'Neural Networks Applications in Business'. Singapore: World Scientific, 2000.

Vellido, A., Lisboa, P.J.G. & Meehan, K.: Characterizing and segmenting the business-to-consumer e-commerce market using neural networks. In Lisboa, P.J.G., Vellido, A. and Edisbury, B. (eds.) 'Neural Networks Applications in Business'. Singapore: World Scientific 2000, pp.29-54.

Conferences

Vellido, A. Etchells, T.A. Garcia, D.L. and Nebot, A. 'Describing customer loyalty to Spanish petrol stations through rule extraction' Intelligent Data Engineering and Automating Learning (IDEAL) 2006, Lecture Notes in Computer Science, Vol. 4224, pp 970-977, 2006. Springer Berlin/Heidelberg, (ISSN 0302-9743, ISBN 978-3-540-45485-4)

Martín, J. D., Lisboa, P.J.G. , Soria, E., Palomares, A., Balaguer, E., Serrano, A.J., and Camps, G. ‘Improving Infoville XXI using Machine Learning techniques” to appear in 10th International Conference on User Modeling, Workshop on “Machine Learning for User Modeling. Challenges, 24^th-30^th July, Edinburgh , 2005.

Vellido, A., Neural networks for B2C e-commerce analysis: some elements of best practice. 4th International Conference On Enterprise Information Systems (ICEIS), 2002, Ciudad Real, Spain. 

Vellido, A., Lisboa, P.J.G. & Meehan, K., 'Segmenting the e-commerce market using the Generative Topographic Mapping' In Proceedings of the MICAI-2000, Acapulco, Mexico 470-481.

Image processing

Journals

Glossop, K., Lisboa, P.J.G., Russell, P.C., Siddans, A. and Jones. G.R. 'An Implementation of the Hough Transform for the Identification and Labelling of Fixed Period Sinusoidal Curves' Computer Vision and Image Understanding, 74, 1, 96-100, 1999.

Books & book chapters

Lisboa P.J.G. 'Image Classification using Gabor Representations with a Neural Net' Chapter 6 in Linggard, R., Myers, D.J. and   Nightingale, C.(eds.) 'Neural Networks for Vision, Speech and Natural Language' Chapman and Hall, 112-127, London, 1992.

Conferences

Glossop, K.J., Siddans, A.W.B., Lisboa, P.J.G. and Russell, P.C. ‘Robust and Efficient PC-Based Software for the Semi-Automatic Interpretation of Borehole Televiewer Data’ SEG Int. Exp. & 67th Annual meeting, Nov 2-7, Dallas, 2046-2049, 1997.

Grudin, M.A., Harvey, D.M., Timchenko, L.I. and Lisboa, P.J.G. ‘Fast Face Recognition Method Using a Multistage Hierarchical Network’, Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Munich, 2545-2548,1997.

Grudin, M.A., Lisboa, P.J.G. and Harvey, D.M ‘A Neural-Network Approach for Compact Multi-Level Representation of Human Faces’, Proceedings of the IEE International Conference on Artificial Neural Networks, Cambridge, 42-47, 1997.

Grudin, M.A., Lisboa, P.J.G. and Harvey, D.M. ‘Compact Multilevel Representation of Human Faces for Identification’ Proceedings of the IEE International Conference on Image and Pattern Analysis, IEE Conf. Publ. 443, Dublin, 111-115, 1997.

Hamzah, S., Lisboa, P.J.G., Hobson, C.A. and Pearson, J.D. ‘Phase Unwrapping in 3-D Shape Measurement Using Neural Networks’ Proceedings of the IEE International Conference on Image and Pattern Analysis, IEE Conf. Publ. 443, Dublin, 680-683, 1997.

Abstracts

Lisboa, P.J.G. and Grudin, M.A. ‘A Computational Model of Visual Attention for Face Discrimination’ 14th National Meeting of the Brain Research Association (now the British Neuroscience Association), Liverpool, abstract 18.09, April 1997.

Grudin, M.A., Lisboa, P.J.G. and Harvey, D.M. ‘A Sparse Representation of Human Faces for Recognition’ Vision, Recognition, Action: Neural Models of Mind and Machine, Centre for Adaptive Systems and Dept. of Cognitive and Neural Systems, Boston, 29-31 May, pp. 82, 1997. 

Process control

Journals

Meng, H, Russell, P.C., Lisboa, P.J.G., Jones, G.R. 'Modelling and control of plasma etching processes in the semiconductor industry' Computers and Industrial Engineering, Vol.37, No.1-2, 367-370, 1999.

Lisboa, P.J.G., Kodogiannis, V.S. and Lucas, J. 'Identification and Learning Control for Underwater Robotic Vehicles' Transactions of the Institute of Measurement and Control, 9, 4, 202-210, 1997.

Ahmed, S., Russell, P.C., Lisboa, P.J.G. and Jones, G.R. 'Parameter Monitoring Using Neural Network Processed Chromaticity’ I.E.E. Proceedings A, 144, 6, 257-262, 1997.

Yu, R.J., Lisboa, P.J.G., Russell, P.C. and Jones, G.R. ‘Resolution Capabilities of Chromatic Sensing in the Monitoring of Semiconductor Processing Systems’ Nondestructive Testing and Evaluation, 13, 347-360, 1997.

Kodogiannis, V.S., Lisboa, P.J.G. and Lucas, J. 'Neural Network Modelling and Control for Underwater Vehicles’ Artificial Intelligence in Engineering, 10, 3, 203-212, 1996.

Gomm, J.B., Williams, D., Evans, J.T., Doherty, S.K. and Lisboa, P.J.G. 'Enhancing the Non-Linear Modelling Capabilities of MLP Neural Networks using Spread Encoding’ Fuzzy Sets and Systems, 79, 113-126, 1996.

Gomm, J.B., Lisboa, P.J.G., Williams, D., and Evans, J.T. 'Accurate Multi-Step-Ahead Prediction of Non-Linear Systems using the MLP Neural Network with Spread Encoding’ Transactions of the Institute of Measurement and Control, 16, 4, 203-213, 1994.

Conferences

Meng, H., Russell, P.C., Lisboa, P.J.G. and Jones, G.R. ‘Modelling and Control of Semiconductor Manufacturing Equipment - a Reactive Ion Etcher’, 2nd ICSC Symposium on Intelligent Industrial Automation, Nimes, France, 1997.

Meng, H., Lisboa, P.J.G., Russell, P.C. and Jones, G.R. ‘The Modelling of Plasma Etching Processes Using Neural Networks and Statistical Techniques’ Proceedings of the 5th IEEE International Symposium on Intelligent Control, Dearborn, Michigan, 218-223, 1996.

Lisboa, P.J.G. and To, Q.S. 'Neural Network Control of pH in a Sulphonation Loop Reactor’ Proceedings of the World Congress on Neural Networks, Washington, DC, Vol. 2, 338-341, 1995.