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Department of Applied Mathematics

Prof Paulo Lisboa

Prof Paulo Lisboa

Telephone: 0151 231 2225

Biography

Paulo Lisboa is Professor and Head of Department of Applied Mathematics at Liverpool John Moores University. His research focus is advanced data analysis for decision support. He has applied data science to personalised medicine, public health, sports analytics and digital marketing. In particular, he has an interest in rigorous methods for interpreting complex models with data structures that can be validated by domain experts.

He is vice-chair of the Horizon2020 Advisory Group for Societal Challenge 1: Health, Demographic Change and Wellbeing, providing scientific advice to one of the world’s largest coordinated research programmes in health. A member of Council for the Institute of Mathematics and its Applications, he is past chair of the Medical Data Analysis Task Force in the Data Mining Technical Committee of the IEEE, chair of the JA Lodge Prize Committee and chair of the Healthcare Technologies Professional Network in the Institution of Engineering & Technology. He is on the Advisory Group of Performance.Lab at Prozone and has editorial and peer review roles in a number of journals and research funding bodies including EPSRC.

Paulo Lisboa studied mathematical physics at Liverpool University where he took a PhD in theoretical particle physics in 1983. He was appointed to the chair of Industrial Mathematics at Liverpool John Moores University in 1996 and Head of Graduate School in 2002.

Languages

English
Portuguese

Degrees

1983, University of Liverpool, United Kingdom, PhD (Particle Physics)
1979, University of Liverpool, United Kingdom, BSc (Mathematical Physics)

Publications

Highlighted publications

Nedergaard NJ, Robinson MA, Eusterwiemann E, Drust B, Lisboa PJ, Vanrenterghem J. 2017. The Relationship Between Whole-Body External Loading and Body-Worn Accelerometry During Team-Sport Movements INTERNATIONAL JOURNAL OF SPORTS PHYSIOLOGY AND PERFORMANCE, 12 :18-26 >DOI >Link

Van Belle V, Van Calster B, Van Huffel S, Suykens JAK, Lisboa P. 2016. Explaining support vector machines: A color based nomogram PLoS ONE, 11 >DOI

Delgado-Goñi T, Ortega-Martorell S, Ciezka M, Olier I, Candiota AP, Julià-Sapé M, Fernández F, Pumarola M, Lisboa PJ, Arús C. 2016. MRSI-based molecular imaging of therapy response to temozolomide in preclinical glioblastoma using source analysis NMR in Biomedicine, 29 :732-743 >DOI

Mocioiu V, Ortega-Martorell S, Olier I, Jablonski M, Starcukova J, Lisboa P, Arus C, Julia-Sape M. 2015. From raw data to data-analysis for magnetic resonance spectroscopy - the missing link: jMRUI2XML BMC BIOINFORMATICS, 16 >DOI >Link

Kinderman P, Tai S, Pontin E, Schwannauer M, Jarman I, Lisboa P. 2015. Causal and mediating factors for anxiety, depression and well-being British Journal of Psychiatry, 206 :456-460 >DOI

Lowsby R, Gomes C, Jarman I, Lisboa P, Nee PA, Vardhan M, Eckersley T, Saleh R, Mills H. 2015. Neutrophil to lymphocyte count ratio as an early indicator of blood stream infection in the emergency department EMERGENCY MEDICINE JOURNAL, 32 :531-534 >DOI >Link

Burniston JG, Kenyani J, Gray D, Guadagnin E, Jarman IH, Cobley JN, Cuthbertson DJ, Chen Y-W, Wastling JM, Lisboa PJ, Koch LG, Britton SL. 2014. Conditional independence mapping of DIGE data reveals PDIA3 protein species as key nodes associated with muscle aerobic capacity JOURNAL OF PROTEOMICS, 106 :230-245 >DOI >Link

Van Belle V, Lisboa P. 2014. White box radial basis function classifiers with component selection for clinical prediction models Artificial Intelligence in Medicine, 60 :53-64 >DOI

Taylor MJ, Stables R, Matata B, Lisboa PJG, Laws A, Almond P. 2014. Website design: technical, social and medical issues for self-reporting by elderly patients. Health Informatics J, 20 :136-150 >DOI >Link

Nair S, O'Brien SV, Hayden K, Pandya B, Lisboa PJG, Hardy KJ, Wilding JPH. 2014. Effect of a cooked meat meal on serum creatinine and estimated glomerular filtration rate in diabetes-related kidney disease. Diabetes Care, 37 :483-487 >DOI >Link

Ruiz H, Etchells TA, Jarman IH, Martín JD, Lisboa PJG. 2013. A principled approach to network-based classification and data representation Neurocomputing, 112 :79-91 >DOI

Higgins E, Jones M, Taylor M, Lisboa PJG. 2013. Understanding community fire risk-A spatial model for targeting fire prevention activities Fire Safety Journal, >DOI

Zhang X, Cook PA, Lisboa PJ, Jarman IH, Bellis MA. 2013. The effects of deprivation and relative deprivation on self-reported morbidity in England: an area-level ecological study. Int J Health Geogr, 12 :5 >DOI >Link

Lisboa PJG, Etchells TA, Jarman IH, Chambers SJ. 2013. Finding reproducible cluster partitions for the k-means algorithm BMC Bioinformatics, 14 >DOI

Bacciu D, Etchells TA, Lisboa PJG, Whittaker J. 2013. Efficient identification of independence networks using mutual information Computational Statistics, 28 :621-646 >DOI

Ortega-Martorell S, Lisboa PJG, Vellido A, Julià-Sapé M, Arús C. 2012. Non-negative matrix factorisation methods for the spectral decomposition of MRS data from human brain tumours. BMC Bioinformatics, 13 :38 >DOI >Link

Journal Articles

Srisawat K, Shepherd SO, Lisboa PJ, Burniston JG. 2017. A Systematic Review and Meta-Analysis of Proteomics Literature on the Response of Human Skeletal Muscle to Obesity/Type 2 Diabetes Mellitus (T2DM) Versus Exercise Training. Proteomes, 5 >DOI >Link

Cashman S, Korostynska O, Shaw A, Lisboa P, Conroy L. 2017. Detecting the Presence and Concentration of Nitrate in Water Using Microwave Spectroscopy IEEE SENSORS JOURNAL, 17 :4092-4099 >DOI >Link

Casana-Eslava RV, Jarman IH, Lisboa PJG, Martin-Guerrero JD. 2017. Quantum clustering in non-spherical data distributions: Finding a suitable number of clusters NEUROCOMPUTING, 268 :127-141 >DOI >Link

Datson N, Drust B, Weston M, Jarman IH, Lisboa PJ, Gregson W. 2017. MATCH PHYSICAL PERFORMANCE OF ELITE FEMALE SOCCER PLAYERS DURING INTERNATIONAL COMPETITION JOURNAL OF STRENGTH AND CONDITIONING RESEARCH, 31 :2379-2387 >Link

Nedergaard NJ, Robinson MA, Eusterwiemann E, Drust B, Lisboa PJ, Vanrenterghem J. 2017. The Relationship Between Whole-Body External Loading and Body-Worn Accelerometry During Team-Sport Movements INTERNATIONAL JOURNAL OF SPORTS PHYSIOLOGY AND PERFORMANCE, 12 :18-26 >DOI >Link

Van Belle V, Van Calster B, Van Huffel S, Suykens JAK, Lisboa P. 2016. Explaining support vector machines: A color based nomogram PLoS ONE, 11 >DOI

Delgado-Goñi T, Ortega-Martorell S, Ciezka M, Olier I, Candiota AP, Julià-Sapé M, Fernández F, Pumarola M, Lisboa PJ, Arús C. 2016. MRSI-based molecular imaging of therapy response to temozolomide in preclinical glioblastoma using source analysis NMR in Biomedicine, 29 :732-743 >DOI

Taylor M, Higgins E, Lisboa P, Jarman I, Hussain A. 2016. Community fire prevention via population segmentation modelling COMMUNITY DEVELOPMENT JOURNAL, 51 :229-247 >DOI >Link

Mocioiu V, Ortega-Martorell S, Olier I, Jablonski M, Starcukova J, Lisboa P, Arus C, Julia-Sape M. 2015. From raw data to data-analysis for magnetic resonance spectroscopy - the missing link: jMRUI2XML BMC BIOINFORMATICS, 16 >DOI >Link

Farhadian M, Mahjub H, Moghimbeigi A, Lisboa PJG, Poorolajal J, Mansoorizadeh M. 2015. Wavelet-based gene selection method for survival prediction in diffuse large B-cell lymphomas patients International Journal of Data Mining and Bioinformatics, 13 :197-210 >DOI

Lisboa PJG, Martín-Guerrero JD, Vellido A. 2015. Making nonlinear manifold learning models interpretable: The manifold grand tour Expert Systems with Applications, 42 :8982-8988 >DOI

Kinderman P, Tai S, Pontin E, Schwannauer M, Jarman I, Lisboa P. 2015. Causal and mediating factors for anxiety, depression and well-being British Journal of Psychiatry, 206 :456-460 >DOI

Hussain AJ, Al-Jumeily D, Radi N, Lisboa P. 2015. Hybrid Neural Network Predictive-Wavelet Image Compression System NEUROCOMPUTING, 151 :975-984 >DOI >Link

Lowsby R, Gomes C, Jarman I, Lisboa P, Nee PA, Vardhan M, Eckersley T, Saleh R, Mills H. 2015. Neutrophil to lymphocyte count ratio as an early indicator of blood stream infection in the emergency department EMERGENCY MEDICINE JOURNAL, 32 :531-534 >DOI >Link

Sefton G, McGrath C, Tume L, Lane S, Lisboa PJG, Carrol ED. 2015. What impact did a Paediatric Early Warning system have on emergency admissions to the paediatric intensive care unit? An observational cohort study Intensive & critical care nursing, 31 :91-99 >DOI

Chambers SJ, Jarman IH, Lisboa PJG. 2014. A framework for initialising a dynamic clustering algorithm: ART2-A 2014 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DATA MINING (CIDM), :273-280 >Link

Farhadian M, Lisboa PJG, Moghimbeigi A, Poorolajal J, Mahjub H. 2014. Supervised Wavelet Method to Predict Patient Survival from Gene Expression Data Scientific World Journal, 2014 >DOI

Burniston JG, Kenyani J, Gray D, Guadagnin E, Jarman IH, Cobley JN, Cuthbertson DJ, Chen Y-W, Wastling JM, Lisboa PJ, Koch LG, Britton SL. 2014. Conditional independence mapping of DIGE data reveals PDIA3 protein species as key nodes associated with muscle aerobic capacity JOURNAL OF PROTEOMICS, 106 :230-245 >DOI >Link

Higgins E, Taylor M, Lisboa P, Arshad F. 2014. Developing a data sharing framework: A case study Transforming Government: People, Process and Policy, 8 :151-164 >DOI

Van Belle V, Lisboa P. 2014. White box radial basis function classifiers with component selection for clinical prediction models Artificial Intelligence in Medicine, 60 :53-64 >DOI

Taylor MJ, Stables R, Matata B, Lisboa PJG, Laws A, Almond P. 2014. Website design: technical, social and medical issues for self-reporting by elderly patients. Health Informatics J, 20 :136-150 >DOI >Link

Nair S, O'Brien SV, Hayden K, Pandya B, Lisboa PJG, Hardy KJ, Wilding JPH. 2014. Effect of a cooked meat meal on serum creatinine and estimated glomerular filtration rate in diabetes-related kidney disease. Diabetes Care, 37 :483-487 >DOI >Link

Barbieri C, Brandt C, Fodeh SJ, Gillies C, Martín-Guerrero JD, Raicu DS, Siadat MR, Amato C, Antani S, Bradley P, Chitsaz H, Figueroa R, Furst J, Gaweda A, Giger ML, Gómez J, Haddad A, Jafari-Khouzani K, Lingeman J, Lisboa PJG, Mari F, Ogunyemi T, Redd D, Sethi I, Soltanian-Zadeh H, Soria E, Singh GB, Vajda S. 2013. Preface to data mining in biomedical informatics and healthcare Proceedings - IEEE 13th International Conference on Data Mining Workshops, ICDMW 2013, >DOI

Chambers SJ, Jarman IH, Etchells TA, Lisboa PJG. 2013. Inference of number of prototypes with a framework approach to K-means clustering International Journal of Biomedical Engineering and Technology, 13 :323-340 >DOI

Lisboa PJG. 2013. Interpretability in machine learning - Principles and practice Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8256 LNAI :15-21 >DOI

Ortega-Martorell S, Ruiz H, Vellido A, Olier I, Romero E, Julia-Sape M, Martin JD, Jarman IH, Arus C, Lisboa PJG. 2013. A Novel Semi-Supervised Methodology for Extracting Tumor Type-Specific MRS Sources in Human Brain Data PLOS ONE, 8 >DOI >Link

Van Belle V, Lisboa P. 2013. Research directions in interpretable machine learning models ESANN 2013 proceedings, 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, :533-541

Van Belle V, Lisboa P. 2013. Automated selection of interaction effects in sparse kernel methods to predict pregnancy viability Proceedings of the 2013 IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013, :26-31 >DOI

Ruiz H, Etchells TA, Jarman IH, Martín JD, Lisboa PJG. 2013. A principled approach to network-based classification and data representation Neurocomputing, 112 :79-91 >DOI

Higgins E, Jones M, Taylor M, Lisboa PJG. 2013. Understanding community fire risk-A spatial model for targeting fire prevention activities Fire Safety Journal, >DOI

Morecroft CW, Shafiee N, Ford JL, Lisboa PJ, Taylor MJ, Mouzughi Y. 2013. Transformation in the Pharmaceutical Industry – a systematic review of the literature PDA Journal of Pharmaceutical Science and Technology,

Morecroft CW, Shafiei N, Ford JL, Lisboa PJ, Taylor MJ, Mouzughi Y. 2013. Transformation in the Pharmaceutical Industry 3 – a systematic analysis of operational evidence PDA Journal of Pharmaceutical Science and Technology,

Zhang X, Cook PA, Lisboa PJ, Jarman IH, Bellis MA. 2013. The effects of deprivation and relative deprivation on self-reported morbidity in England: an area-level ecological study. Int J Health Geogr, 12 :5 >DOI >Link

Shafiei N, Ford JL, Morecroft CW, Lisboa PJ, Taylor MJ, Mouzughi Y. 2013. Transformation in the pharmaceutical industry: transformation-induced quality risks--a survey. PDA J Pharm Sci Technol, 67 :229-246 >DOI >Link

Shafiei N, Ford JL, Morecroft CW, Lisboa PJ, Taylor MJ. 2013. Characterization of the evolution of the pharmaceutical regulatory environment. PDA J Pharm Sci Technol, 67 :297-306 >DOI >Link

Lisboa PJG, Etchells TA, Jarman IH, Chambers SJ. 2013. Finding reproducible cluster partitions for the k-means algorithm BMC Bioinformatics, 14 >DOI

Bacciu D, Etchells TA, Lisboa PJG, Whittaker J. 2013. Efficient identification of independence networks using mutual information Computational Statistics, 28 :621-646 >DOI

Vilamala A, Vellido A, Lisboa PJG, Ortega-Martorell S. 2013. Discriminant Convex Non-negative Matrix Factorization for the classification of human brain tumours Pattern Recognition Letters, >DOI

Rizzo R, Lisboa PJG. 2013. Seventh International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics (CIBB 2010) Palermo, Italy, 16-18 September 2010. Introduction. BMC bioinformatics, 14 Suppl 1 >DOI

Vellido A, Martín-Guerrero JD, Lisboa PJG. 2012. Making machine learning models interpretable ESANN 2012 proceedings, 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, :163-172

Romero E, Mu T, Lisboa PJG. 2012. Cohort-based kernel visualisation with scatter matrices Pattern Recognition, 45 :1436-1454 >DOI

Ortega-Martorell S, Lisboa PJG, Vellido A, Julià-Sapé M, Arús C. 2012. Non-negative matrix factorisation methods for the spectral decomposition of MRS data from human brain tumours. BMC Bioinformatics, 13 :38 >DOI >Link

Ortega-Martorell S, Lisboa PJG, Vellido A, Simões RV, Pumarola M, Julià-Sapé M, Arús C. 2012. Convex non-negative matrix factorization for brain tumor delimitation from MRSI data. PLoS One, 7 :e47824 >DOI >Link

Arsene CTC, Lisboa PJ. 2012. Bayesian Neural Network with and without compensation for competing risks Proceedings of the International Joint Conference on Neural Networks, >DOI

Taylor M, Higgins E, Lisboa P. 2012. Testing geographical information systems: A case study in a fire prevention support system Journal of Systems and Information Technology, 14 :184-199 >DOI

Arsene CTC, Lisboa PJ. 2012. Multicentre study desing in survival analysis 2012 IEEE Symposium on Computational Intelligence and Computational Biology, CIBCB 2012, :135-143 >DOI

Arsene CTC, Lisboa PJ. 2012. Bayesian neural network applied in medical survival analysis of primary biliary cirrhosis Proceedings - 2012 14th International Conference on Modelling and Simulation, UKSim 2012, :81-85 >DOI

Ardoino I, Biganzoli EM, Bajdik C, Lisboa PJ, Boracchi P, Ambrogi F. 2012. Flexible parametric modelling of the hazard function in breast cancer studies Journal of Applied Statistics, 39 :1409-1421 >DOI

Taylor MJ, Higgins E, Lisboa PJG, Kwasnica V. 2012. An exploration of causal factors in unintentional dwelling fires Risk Management, 14 :109-125 >DOI

Bellis MA, Jarman I, Downing J, Perkins C, Beynon C, Hughes K, Lisboa P. 2012. Using clustering techniques to identify localities with multiple health and social needs. Health Place, 18 :138-143 >DOI >Link

Jarman IH, Etchells TA, Perkins C, Bellis MA, Lisboa PJG. 2011. Scenario analysis for local area life expectancy using conditional independence maps Proceedings - 4th International Conference on Developments in eSystems Engineering, DeSE 2011, :92-97 >DOI

Arsene CTC, Lisboa PJ. 2011. A predictive and prognostic medical study for Primary Billiary Cirrhosis by using a Bayesian Neural Network 2011 E-Health and Bioengineering Conference, EHB 2011,

Taylor MJ, Higgins E, Francis M, Lisboa P. 2011. Managing unintentional dwelling fire risk JOURNAL OF RISK RESEARCH, 14 :1207-1218 >DOI >Link

Arsene CTC, Lisboa PJ. 2011. PLANN-CR-ARD model predictions and Non-parametric estimates with Confidence Intervals Proceedings of the International Joint Conference on Neural Networks, :1553-1561 >DOI

Arsene CTC, Lisboa PJ, Biganzoli E. 2011. Model selection with PLANN-CR-ARD Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6692 LNCS :210-219 >DOI

Lisboa PJG, Rizzo R. 2011. Preface Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6685 LNBI

Biganzoli E, Coradini D, Ambrogi F, Garibaldi JM, Lisboa P, Soria D, Green AR, Pedriali M, Piantelli M, Querzoli P, Demicheli R, Boracchi P, Nenci I, Ellis IO, Alberti S. 2011. p53 status identifies two subgroups of triple-negative breast cancers with distinct biological features. Jpn J Clin Oncol, 41 :172-179 >DOI >Link

Jarman IH, Etchells TA, Lisboa PJG, Beynon CM, Martín-Guerrero JD. 2011. Clustering categorical data: A stability analysis framework IEEE SSCI 2011: Symposium Series on Computational Intelligence - CIDM 2011: 2011 IEEE Symposium on Computational Intelligence and Data Mining, :58-65 >DOI

Zhang X, Cook PA, Jarman I, Lisboa P. 2011. Area effects on health inequalities: the impact of neighbouring deprivation on mortality. Health Place, 17 :1266-1273 >DOI >Link

Tume LN, Baines PB, Lisboa PJG. 2011. The effect of nursing interventions on the intracranial pressure in paediatric traumatic brain injury. Nurs Crit Care, 16 :77-84 >DOI >Link

Jarman IH, Etchells TA, Bacciu D, Garibaldi JM, Ellis IO, Lisboa PJG. 2011. Clustering of protein expression data: a benchmark of statistical and neural approaches SOFT COMPUTING, 15 :1459-1469 >DOI >Link

Nair S, Mishra V, Hayden K, Lisboa PJG, Pandya B, Vinjamuri S, Hardy KJ, Wilding JPH. 2011. The four-variable modification of diet in renal disease formula underestimates glomerular filtration rate in obese type 2 diabetic individuals with chronic kidney disease DIABETOLOGIA, 54 :1304-1307 >DOI >Link

Taylor MJ, Matata B, Stables R, Laws A, England D, Lisboa PJG. 2011. Issues in online patient self-reporting of health status HEALTH INFORMATICS JOURNAL, 17 :5-14 >DOI >Link

Badshah S, Mason L, Mckelvie K, Payne R, Lisboa PJG. 2011. Maternal risk factors in Afghan-refugees compared to Pakistani mothers in Peshawar, NWFP Pakistan JOURNAL OF THE PAKISTAN MEDICAL ASSOCIATION, 61 :161-164 >Link

Ruiz H, Jarman IH, Martín JD, Lisboa PJ. 2010. The role of Fisher information in primary data space for neighbourhood mapping ESANN 2011 proceedings, 19th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, :381-386

Vellido A, Martín JD, Rossi F, Lisboa PJG. 2010. Seeing is believing: The importance of visualization in real-world machine learning applications ESANN 2011 proceedings, 19th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, :219-226

Lisboa PJG, Vellido A, Martín JD. 2010. Computational intelligence in biomedicine: Some contributions Proceedings of the 18th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning, ESANN 2010, :429-438

Ardoino I, Ambrogi F, Iacobelli S, Boracchi P, Manikis G, Kounelakis MG, Zervakis M, Lisboa PJG, Fazi P, Vignetti M, Biganzoli EM, Starita A. 2010. Evaluation of short-and long-term response to treatment in GIMEMA protocol for acute myeloid leukaemia International Journal of Biomedical Engineering and Technology, 3 :329-348 >DOI

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

Lisboa PJG, Vellido A, Tagliaferri R, Napolitano F, Ceccarelli M, Martín-Guerrero JD, Biganzoli E. 2010. Data mining in cancer research: Application nNotes IEEE Computational Intelligence Magazine, 5 :14-18 >DOI

Soria D, Garibaldi JM, Ambrogi F, Green AR, Powe D, Rakha E, Macmillan RD, Blamey RW, Ball G, Lisboa PJG, Etchells TA, Boracchi P, Biganzoli E, Ellis IO. 2010. A methodology to identify consensus classes from clustering algorithms applied to immunohistochemical data from breast cancer patients. Comput Biol Med, 40 :318-330 >DOI >Link

Fernandes AS, Fonseca JM, Jarman IH, Etchells TA, Lisboa PJ, Biganzoli E, Bajdik C. 2009. Evaluation of missing data imputation in longitudinal cohort studies in breast cancer survival International Journal of Knowledge Engineering and Soft Data Paradigms, 1 :257-257 >DOI

Lisboa PJG. 2009. Foreword Handbook of Research on Machine Learning Applications and Trends: Algorithms, Methods, and Techniques, >DOI

Bacciu D, Jarman IH, Etchells TA, Lisboa PJG. 2009. Patient stratification with competing risks by multivariate Fisher distance Proceedings of the International Joint Conference on Neural Networks, :213-220 >DOI

Lisboa PJG, Jarman IH, Etchells TA, Ambrogi F, Ardoino I, Vignetti M, Biganzoli E. 2009. Short-term time-to-event model of response to treatment following the GIMEMA protocol for Acute Myeloid Leukaemia Frontiers in Artificial Intelligence and Applications, 196 :81-93 >DOI

Al-Jumeily D, Nagar AK, Tawfik H, Hussain A, Lisboa P. 2009. DeSE 2009 preface Proceedings - International Conference on Developments in eSystems Engineering, DeSE 2009,

Al-Fayadh A, Hussain AJ, Lisboa P, Al-Jumeily D. 2009. Novel hybrid classified vector quantization using discrete cosine transform for image compression JOURNAL OF ELECTRONIC IMAGING, 18 >DOI >Link

Faulke D, Etchells TA, Harrison MJ, Lisboa PJG. 2009. Determination of mode of ventilation using OSRE. Comput Biol Med, 39 :1032-1035 >DOI >Link

Lisboa PJG, Etchells TA, Jarman IH, Arsene CTC, Aung MSH, Eleuteri A, Taktak AFG, Ambrogi F, Boracchi P, Biganzoli E. 2009. Partial logistic artificial neural network for competing risks regularized with automatic relevance determination. IEEE Trans Neural Netw, 20 :1403-1416 >DOI >Link

Rögnvaldsson T, Etchells TA, You L, Garwicz D, Jarman I, Lisboa PJG. 2009. How to find simple and accurate rules for viral protease cleavage specificities. BMC Bioinformatics, 10 :149 >DOI >Link

Vellido A, Biganzoli E, Lisboa PJG. 2008. Machine learning in cancer research: Implications for personalised medicine ESANN 2008 Proceedings, 16th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning, :55-64

Bourdes V, Bonnevay S, Lisboa P, De FR, Chabaud S, Bachelot T, Perol D, Negrier S. 2008. Breast cancer predictions by neural networks analysis: a comparison with logistic regression BULLETIN DU CANCER, 95 :S64-S65 >Link

Soria D, Garibaldi JM, Ambrogi F, Lisboa PJG, Boracchi P, Biganzoli E. 2008. Clustering breast cancer data by consensus of different validity indices IET Conference Publications, >DOI

Taktak A, Eleuteri A, Aung M, Lisboa P, Desjardins L, Damato B. 2008. External validation of a bayesian neural network model in survival analysis Proceedings - 7th International Conference on Machine Learning and Applications, ICMLA 2008, :607-612 >DOI

Lisboa PJG, Ellis IO, Green AR, Ambrogi F, Dias MB. 2008. Cluster-based visualisation with scatter matrices Pattern Recognition Letters, 29 :1814-1823 >DOI

Lisboa PJG, Etchells TA, Jarman IH, Hane Aung MS, Chabaud S, Bachelot T, Perol D, Gargi T, Bourdès V, Bonnevay S, Négrier S. 2008. Time-to-event analysis with artificial neural networks: an integrated analytical and rule-based study for breast cancer. Neural Netw, 21 :414-426 >DOI >Link

Jarman IH, Etchells TA, Martín JD, Lisboa PJG. 2008. An integrated framework for risk profiling of breast cancer patients following surgery. Artif Intell Med, 42 :165-188 >DOI >Link

Hussain AJ, Knowles A, Lisboa PJG, El-Deredy W. 2008. Financial time series prediction using polynomial pipelined neural networks EXPERT SYSTEMS WITH APPLICATIONS, 35 :1186-1199 >DOI >Link

Badshah S, Mason L, McKelvie K, Payne R, Lisboa PJG. 2008. Risk factors for low birthweight in the public-hospitals at Peshawar, NWFP-Pakistan BMC PUBLIC HEALTH, 8 >DOI >Link

al Nageim H, Nagar R, Lisboa PJG. 2007. Comparison of neural network and binary logistic regression methods in conceptual design of tall steel buildings Construction Innovation, 7 :240-253 >DOI

Eleuteri A, Aung MS, Taktak AF, Damato B, Lisboa PJ. 2007. Continuous and discrete time survival analysis: neural network approaches. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, :5420-5423

Bourdès VS, Bonnevay S, Lisboa PJ, Aung MS, Chabaud S, Bachelot T, Perol D, Negrier S. 2007. Breast cancer predictions by neural networks analysis: a comparison with logistic regression. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, :5424-5427

Vellido A, Lisboa PJG, Vicente D. 2007. Handling outliers and missing data in brain tumor clinical assessment usign t-GTM ESANN 2005 Proceedings - 13th European Symposium on Artificial Neural Networks, :121-126

Vellido A, Lisboa PJG. 2007. Functional topographic mapping for robust handling of outliers in brain tumour data ESANN 2005 Proceedings - 13th European Symposium on Artificial Neural Networks, :133-138

Arsene CTC, Lisboa PJG. 2007. Artificial Neural Networks Used in the Survival Analysis of Breast Cancer Patients. A Node-Negative Study. :191-239 >DOI

Eleuteri A, Aung MSH, Taktak AFG, Damato B, Lisboa PJG. 2007. Continuous and discrete time survival analysis: Neural network approaches Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, :5420-5423 >DOI

Bourdès VS, Bonnevay S, Lisboa PJG, Aung MSH, Chabaud S, Bachelot T, Perol D, Negrier S. 2007. Breast cancer predictions by neural networks analysis: A comparison with logistic regression Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, :5424-5427 >DOI

Lisboa PJG, Etchells TA, Jarman IH, Aung MSH, Chabaud S, Bachelot T, Perol D, Gargi T, Bourdès V, Bonnevay S, Négrier S. 2007. Development of a rule based prognostic tool for HER 2 positive breast cancer patients Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, :5416-5419 >DOI

Al-Fayadh A, Hussain AJ, Lisboa P, Al-Jumeily D. 2007. Hybrid classified vector quantisation and its application to image compression EUROCON 2007 - The International Conference on Computer as a Tool, :157-162 >DOI

Lisboa PJG, Etchells TA, Jarman IH, Aung MSH, Chabaud S, Bachelot T, Perol D, Gargi T, Bourdès V, Bonnevay S, Négrier S. 2007. Time-to-event analysis with artificial neural networks: An integrated analytical and rule-based study for breast cancer IEEE International Conference on Neural Networks - Conference Proceedings, :2533-2538 >DOI

Lisboa PJG, Jarman IH, Etchells TA, Ramsey P. 2007. A prototype integrated decision support system for breast cancer oncology Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4507 LNCS :999-1003

Taktak A, Antolini L, Aung M, Boracchi P, Campbell I, Damato B, Ifeachor E, Lama N, Lisboa P, Setzkorn C, Stalbovskaya V, Biganzoli E. 2007. Double-blind evaluation and benchmarking of survival models in a multi-centre study. Comput Biol Med, 37 :1108-1120 >DOI >Link

Hussain AJ, Al-Fayadh A, Al-Jumeily D, Lisboa P, Liatsis P. 2007. Image compression using improved hybrid classified vector quantisation ELECTRONICS LETTERS, 43 :385-387 >DOI >Link

Barton G, Lisboa P, Lees A, Attfield S. 2007. Gait quality assessment using self-organising artificial neural networks. Gait Posture, 25 :374-379 >DOI >Link

Lisboa PJG, Etchells TA, Jarman IH, Aung MSH, Chabaud S, Bachelot T, Perol D, Gargi T, Bourdès V, Bonnevay S, Négrier S. 2007. Development of a rule based prognostic tool for HER 2 positive breast cancer patients. Conf Proc IEEE Eng Med Biol Soc, 2007 :5416-5419 >DOI >Link

Martin-Guerrero JD, Lisboa PJG, Soria-Olivas E, Palomares A, Balaguer E. 2007. 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 >DOI >Link

Fisher AC, El-Deredy W, Hagan RP, Brown MC, Lisboa PJG. 2007. Removal of eye movement artefacts from single channel recordings of retinal evoked potentials using synchronous dynamical embedding and independent component analysis MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 45 :69-77 >DOI >Link

Etchells TA, Vellido A, Martí E, Lisboa PJG, Comas J. 2006. On the prediction of the ecological status of human-altered streams and its rule-based interpretation Proceedings of the iEMSs 3rd Biennial Meeting," Summit on Environmental Modelling and Software",

Arsene CTC, Lisboa PJG, Boracchi P, Biganzoli E, Aung MSH. 2006. A Bayesian neural network for competing risks models with covariates IET Conference Publications, :27 >DOI

Aung MSH, Lisboa PJG, Arsene CTC. 2006. Effect of compensation in partial logistic artificial neural networks medical survival analysis IET Conference Publications, :26 >DOI

Fisher AC, Hagan RP, Brown MC, El-Deredy W, Lisboa PJG. 2006. ICA-based blind source separation (BSS) recovery of the pattern electroretinogram (PERG) from single channel records with poor SNR IET Conference Publications, :42 >DOI

Barton G, Lees A, Lisboa P, Attfield S. 2006. Visualisation of gait data with Kohonen self-organising neural maps. Gait Posture, 24 :46-53 >DOI >Link

Lisboa PJ, Taktak AFG. 2006. The use of artificial neural networks in decision support in cancer: a systematic review. Neural Netw, 19 :408-415 >DOI >Link

Etchells TA, Lisboa PJG. 2006. Orthogonal search-based rule extraction (OSRE) for trained neural networks: a practical and efficient approach. IEEE Trans Neural Netw, 17 :374-384 >DOI >Link

Grudin MA, Lisboa PJG, Harvey DM. 2006. Selection of localised salient features from a single facial image IEE PROCEEDINGS-VISION IMAGE AND SIGNAL PROCESSING, 153 :461-467 >DOI >Link

Vellido A, Lisboa PJG. 2006. Handling outliers in brain tumour MRS data analysis through robust topographic mapping COMPUTERS IN BIOLOGY AND MEDICINE, 36 :1049-1063 >DOI >Link

Lindemann A, Dunis CL, Lisboa P. 2005. Level estimation, classification and probability distribution architectures for trading the EUR/USD exchange rate Neural Computing and Applications, 14 :256-271 >DOI

Lindemann A, Dunis CL, Lisboa P. 2005. Probability distributions and leveraged trading strategies: An application of Gaussian mixture models to the Morgan Stanley Technology Index Tracking Fund Quantitative Finance, 5 :459-474 >DOI

Lindemann A, Dunis CL, Lisboa P. 2005. Probability distribution architectures for trading silver Neural Network World, 15 :437-470

Tang Z, Taylor MJ, Lisboa P, Dyas M. 2005. Quantitative risk modelling for new pharmaceutical compounds. Drug Discov Today, 10 :1520-1526 >DOI >Link

Lindemann A, Dunis CL, Lisboa P. 2004. Probability distributions, trading strategies and leverage: An application of Gaussian mixture models Journal of Forecasting, 23 :559-585 >DOI

Hoang TN, El-Deredy W, Bentley DE, Jones AKP, Lisboa PJ, McGlone F. 2004. Dipole source localisation using independent component analysis: single trial localisation of laser evoked pain. Conf Proc IEEE Eng Med Biol Soc, 1 :403-406 >DOI >Link

Lisboa PJG, Wong H, Harris P, Swindell R. 2003. A Bayesian neural network approach for modelling censored data with an application to prognosis after surgery for breast cancer. Artif Intell Med, 28 :1-25 >Link

Vellido A, El-Deredy W, Lisboa PJG. 2003. Selective smoothing of the generative topographic mapping IEEE TRANSACTIONS ON NEURAL NETWORKS, 14 :847-852 >DOI >Link

Huang Y, Lisboa PJG, El-Deredy W. 2003. Tumour grading from magnetic resonance spectroscopy: a comparison of feature extraction with variable selection STATISTICS IN MEDICINE, 22 :147-164 >DOI >Link

Lisboa PJG, Etchells TA, Pountney DC. 2002. Minimal MLPs do not model the XOR logic NEUROCOMPUTING, 48 :1033-1037 >DOI >Link

Lisboa PJG. 2002. A review of evidence of health benefit from artificial neural networks in medical intervention NEURAL NETWORKS, 15 :11-39 >DOI >Link

Vellido A, Lisboa PJG. 2001. An electronic commerce application of the Bayesian framework for MLPs: The effect of marginalisation and ARD NEURAL COMPUTING & APPLICATIONS, 10 :3-11 >DOI >Link

Lee YYB, Huang Y, El-Deredy W, Lisboa PJG, Arus C, Harris P. 2000. Robust methodology for the discrimination of brain tumours from in vivo magnetic resonance spectra IEE PROCEEDINGS-SCIENCE MEASUREMENT AND TECHNOLOGY, 147 :309-314 >DOI >Link

Lisboa PJG, Vellido A, Wong H. 2000. Bias reduction in skewed binary classification with Bayesian neural networks NEURAL NETWORKS, 13 :407-410 >DOI >Link

Glossop K, Lisboa PJG, Russell PC, Siddans A, Jones GR. 1999. Implementation of the Hough transformation for the identification and labelling of fixed period sinusoidal curves Computer Vision and Image Understanding, 74 :96-100 >DOI

Wong H, Harris P, Lisboa PJG, Kirby SPJ, Swindell R. 1999. Dealing with censorship in neural network models Proceedings of the International Joint Conference on Neural Networks, 5 :3702-3706

Vellido A, Lisboa PJG, Vaughan J. 1999. Neural networks in business: a survey of applications (1992-1998) EXPERT SYSTEMS WITH APPLICATIONS, 17 :51-70 >DOI >Link

Meng H, Russell PC, Lisboa PJG, Jones GR. 1999. Modelling and control of plasma etching processes in the semiconductor industry COMPUTERS & INDUSTRIAL ENGINEERING, 37 :367-370 >DOI >Link

Vellido A, Lisboa PJG, Meehan K. 1999. Segmentation of the on-line shopping market using neural networks EXPERT SYSTEMS WITH APPLICATIONS, 17 :303-314 >DOI >Link

Lee YYB, Vellido A, El-Deredy W, Kirby SPJ, Lisboa PJG. 1998. Neural networks in practice - An example from magnetic resonance spectroscopy IEE Colloquium (Digest),

Lisboa PJG, Kirby SPJ, Vellido A, Lee YYB, El-Deredy W. 1998. Assessment of statistical and neural networks methods in NMR spectral classification and metabolite selection NMR IN BIOMEDICINE, 11 :225-234 >DOI >Link

Ahmed S, Russell P, Lisboa P, Jones GR. 1997. Parameter monitoring using neural-network-processed chromaticity IEE Proceedings: Science, Measurement and Technology, 144 :257-262 >DOI

Hamzah S, Pearson JD, Lisboa PJ, Hobson CA. 1997. Phase unwrapping in 3-D shape measurement using artificial neural networks IEE Conference Publication, :680-683

Lisboa PJG, Kirby SJ, Vellido A, Lee B. 1997. Pattern recognition methods for MRS analysis and classification IEE Colloquium (Digest),

Lisboa PJG, Kodogiannis VS, Lucas J. 1997. Neural network identification and control of an underwater vehicle TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 19 :202-210 >DOI >Link

Gomm JB, Williams D, Evans JT, Doherty SK, Lisboa PJG. 1996. Enhancing the non-linear modelling capabilities of MLP neural networks using spread encoding FUZZY SETS AND SYSTEMS, 79 :113-126 >DOI >Link

Kodogiannis VS, Lisboa PJG, Lucas J. 1996. Neural network modelling and control for underwater vehicles ARTIFICIAL INTELLIGENCE IN ENGINEERING, 10 :203-212 >DOI >Link

GOMM JB, LISBOA PJG, WILLIAMS D, EVANS JT. 1994. ACCURATE MULTI-STEP-AHEAD PREDICTION OF NONLINEAR-SYSTEMS USING THE MLP NEURAL-NETWORK WITH SPREAD ENCODING TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 16 :203-213 >DOI >Link

LISBOA PJG. 1993. SPECIAL ISSUE ON NEURAL NETWORKS JOURNAL OF MICROCOMPUTER APPLICATIONS, 16 :109-111 >DOI >Link

Lisboa P, Lee C, O'Donovan K. 1992. Orientation detection: Comparison of moments with back propagation 1991 IEEE International Joint Conference on Neural Networks, :287-292

PERANTONIS SJ, LISBOA PJG. 1992. TRANSLATION, ROTATION, AND SCALE INVARIANT PATTERN-RECOGNITION BY HIGH-ORDER NEURAL NETWORKS AND MOMENT CLASSIFIERS IEEE TRANSACTIONS ON NEURAL NETWORKS, 3 :241-251 >DOI >Link

BINNS KJ, ALDIN MSN, LISBOA PJG. 1992. USE OF CANNED ROTORS IN HIGH-FIELD PERMANENT-MAGNET MACHINES IEE PROCEEDINGS-B ELECTRIC POWER APPLICATIONS, 139 :471-477 >Link

LISBOA PJG, PERANTONIS SJ. 1991. COMPLETE SOLUTION OF THE LOCAL MINIMA IN THE XOR PROBLEM NETWORK-COMPUTATION IN NEURAL SYSTEMS, 2 :119-124 >DOI >Link

LISBOA PJG, PERANTONIS SJ. 1990. CONVERGENCE OF RECURSIVE ASSOCIATIVE MEMORIES OBTAINED USING THE MULTILAYERED PERCEPTRON JOURNAL OF PHYSICS A-MATHEMATICAL AND GENERAL, 23 :4039-4053 >DOI >Link

Vinh Mau R, Lacombe M, Loiseau B, Cottingham WN, Lisboa P. 1985. The static baryon-baryon potential in the skyrme model Physics Letters B, 150 :259-264 >DOI

Lisboa P. 1983. Topological charge in non-abelian lattice gauge theory Physics Letters B, 126 :79-81 >DOI

Lisboa P, Michael C. 1982. Discrete subsets of SU(3) for lattice gauge theory Physics Letters B, 113 :303-304 >DOI

Lisboa P, Michael C. 1982. Lattices in group manifolds: Applications to lattice gauge theory Nuclear Physics, Section B, 210 :15-28 >DOI

Dean E, Taylor MJ, Francis H, Lisboa P, Appleton D, Jones M. A methodological framework for geographic information systems development Systems Research and Behavioral Science,

Conference Publication (journal proceedings)

Hind J, Hussain A, Al-Jumeily D, Abdulaimma B, Montanez CAC, Lisboa P. 2017. A robust method for the interpretation of genomic data Proceedings of the International Joint Conference on Neural Networks, 2017-May :3385-3390 >DOI

Harris B, Dobbins C, Fairclough S, Lisboa P. 2017. Exploring Wearable Devices for Unobtrusive Stress Monitoring

Martín-Guerrero JD, Lisboa PJG, Vellido A. 2016. Physics and machine learning: Emerging paradigms ESANN 2016 - 24th European Symposium on Artificial Neural Networks, :319-326

Casaña-Eslava RV, Martín-Guerrero JD, Jarman IH, Lisboa PJG. 2016. Performance assessment of quantum clustering in non-spherical data distributions ESANN 2016 - 24th European Symposium on Artificial Neural Networks, :339-344

Ruiz H, Lisboa PJ, Neilson PJ, Gregson W. 2015. Measuring scoring efficiency through goal expectancy estimation 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2015 - Proceedings, :149-154

Urda D, Chambers S, Jarman I, Lisboa P, Franco L, Jerez JM. 2015. Use of q-values to improve a genetic algorithm to identify robust gene signatures Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8623 :199 >DOI

Ortega-Martorell S, Julia-Sape M, Olier I, Lisboa P, Delgado-Goni T, Arus C, Ciezka M. 2014. Semi-supervised source extraction methodology for the nosological imaging of glioblastoma response to therapy 2014 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DATA MINING (CIDM), IEEE Symposium on Computational Intelligence and Data Mining (CIDM) :93-98 >Link

Ortega-Martorell S, Arus C, Olier I, Lisboa P, Julia-Sape M. 2014. Automatic relevance source determination in human brain tumors using Bayesian NMF 2014 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DATA MINING (CIDM), IEEE Symposium on Computational Intelligence and Data Mining (CIDM) :99-104 >Link

Ruiz H, Ortega-Martorell S, Jarman IH, Martín JD, Lisboa PJG. 2012. Constructing similarity networks using the fisher information metric ESANN 2012 proceedings, 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, :191-196

Lisboa PJG, Jarman IH, Etchells TA, Chambers SJ, Bacciu D, Whittaker J, Garibaldi JM, Ortega-Martorell S, Vellido A, Ellis IO. 2012. Discovering hidden pathways in bioinformatics Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7548 LNBI :49-60 >DOI

Ruiz H, Ortega-Martorell S, Jarman IH, Vellido A, Martin JD, Romero E, Lisboa PJG. 2012. Towards interpretable classifiers with blind signal separation Proceedings of the International Joint Conference on Neural Networks, >DOI

Ortega-Martorell S, Lisboa PJG, Vellido A, Simões RV, Julià-Sapé M, Arús C. 2011. Brain tumor pathological area delimitation through Non-negative Matrix Factorization Proceedings - IEEE International Conference on Data Mining, ICDM, :1058-1063 >DOI

Ortega-Martorell S, Vellido A, Lisboa PJG, Julià-Sapé M, Arús C. 2011. Spectral decomposition methods for the analysis of MRS information from human brain tumors Proceedings of the International Joint Conference on Neural Networks, :3279-3284 >DOI

Ardoino I, Ambrogi F, Bajdik C, Lisboa PJ, Biganzoli EM, Boracchi P. 2010. Flexible Parametric Modelling of the Hazard Function in Breast Cancer Studies 2010 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS IJCNN 2010, World Congress on Computational Intelligence (WCCI 2010) >Link

Lisboa PJG, Fernandes AS, Fonseca JM, Bajdik C, Biganzoli E. 2010. Assessment of benefit vs. risk of drug therapy: the potential for outcome analysis with flexible models 2010 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS IJCNN 2010, World Congress on Computational Intelligence (WCCI 2010) >Link

Romero E, Fernandes AS, Mu T, Lisboa PJG. 2010. Cohort-based Kernel Visualisation with Scatter Matrices 2010 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS IJCNN 2010, World Congress on Computational Intelligence (WCCI 2010) >Link

Fernandes AS, Bacciu D, Jarman IH, Etchells TA, Fonseca JM, Lisboa PJG. 2010. Different Methodologies for Patient Stratification Using Survival Data Masulli F, Peterson LE, Tagliaferri R. COMPUTATIONAL INTELLIGENCE METHODS FOR BIOINFORMATICS AND BIOSTATISTICS, 6th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics 6160 :276-+ >Link

Fernandes AS, Alves P, Jarman IH, Etchells TA, Fonseca JM, Lisboa PJG. 2010. A Clinical Decision Support System for Breast Cancer Patients CamarinhaMatos LM, Pereira P, Ribeiro L. EMERGING TRENDS IN TECHNOLOGICAL INNOVATION, 1st IFIP Doctoral Conference on Computing, Electrical and Industrial Systems 314 :122-+ >Link

Hussain AJ, Al-Jumeily D, Lisboa P. 2009. Adaptive Classified Vector Quantisation of non-orthogonal representations of images and its application to image compression 2009 1ST INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE, COMMUNICATION SYSTEMS AND NETWORKS(CICSYN 2009), 1st International Conference on Computational Intelligence, Communication Systems and Networks :386-+ >DOI >Link

Ghazali R, Hussain AJ, Al-Jumeily D, Lisboa P. 2009. Time Series Prediction Using Dynamic Ridge Polynomial Neural Networks AlJumeily D, Nagar AK, Tawfik H, Hussain A, Lisboa P. 2009 SECOND INTERNATIONAL CONFERENCE ON DEVELOPMENTS IN ESYSTEMS ENGINEERING (DESE 2009), 2nd International Conference on Developments in eSystems Engineering :354-+ >DOI >Link

Al-Fayadh A, Hussain AJ, Lisboa P, Al-Jumeily D, Al-Jumaily M. 2009. A Hybrid Image Compression Method and Its Application to Medical Images AlJumeily D, Nagar AK, Tawfik H, Hussain A, Lisboa P. 2009 SECOND INTERNATIONAL CONFERENCE ON DEVELOPMENTS IN ESYSTEMS ENGINEERING (DESE 2009), 2nd International Conference on Developments in eSystems Engineering :107-+ >DOI >Link

Fernandes AS, Bacciu D, Jarman IH, Etchells TA, Fonseca JM, Lisboa PJG. 2009. p-Health in breast oncology: a framework for predictive and participatory e-systems AlJumeily D, Nagar AK, Tawfik H, Hussain A, Lisboa P. 2009 SECOND INTERNATIONAL CONFERENCE ON DEVELOPMENTS IN ESYSTEMS ENGINEERING (DESE 2009), 2nd International Conference on Developments in eSystems Engineering :123-129 >DOI >Link

Bacciu D, Jarman IH, Etchells TA, Lisboa PJG. 2009. Patient Stratification with Competing Risks by Multivariate Fisher Distance IJCNN: 2009 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1- 6, International Joint Conference on Neural Networks :3453-+ >Link

Li M, Dias B, Jarman I, El-Deredy W, Lisboa PJG. 2009. Grocery Shopping Recommendations Based on Basket-Sensitive Random Walk KDD-09: 15TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining :1215-1223 >Link

Fernandes AS, Jarman IH, Etchells TA, Fonseca JM, Biganzoli E, Bajdik C, Lisboa PJG. 2009. Stratification Methodologies for Neural Networks Models of Survival Cabestany J, Prieto A, Sandoval F, Corchado JM. BIO-INSPIRED SYSTEMS: COMPUTATIONAL AND AMBIENT INTELLIGENCE, PT 1, 10th International Work-Conference on Artificial Neural Networks (IWANN 2009) 5517 :989-+ >Link

Al-Fayadh A, Hussain AJ, Lisboa P, Al-Jumeily D. 2008. An adaptive hybrid classified vector quantisation and its application to image compression Proceedings - EMS 2008, European Modelling Symposium, 2nd UKSim European Symposium on Computer Modelling and Simulation, :253-256 >DOI

Al-Fayadh A, Hussain AJ, Lisboa P, Al-Jumeily D. 2008. An adaptive hybrid image compression method and its application to medical images 2008 IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: FROM NANO TO MACRO, VOLS 1-4, 5th IEEE International Symposium on Biomedical Imaging :237-240 >DOI >Link

Dias MB, Locher D, Li M, El-Deredy W, Lisboa PJG. 2008. The Value of Personalised Recommender Systems to E-Business: A Case Study RECSYS'08: PROCEEDINGS OF THE 2008 ACM CONFERENCE ON RECOMMENDER SYSTEMS, ACM Conference on Recommender Systems :291-294 >Link

Fernandes AS, Jarman IH, Etchells TA, Fonseca JM, Biganzoli E, Bajdik C, Lisboa PJG. 2008. Missing data imputation in longitudinal cohort studies - application of PLANN-ARD in breast cancer survival Wani MA, Chen X, Casasent D, Kurgan L, Hu T, Hafeez K. SEVENTH INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS, PROCEEDINGS, 7th International Conference on Machine Learning and Applications :644-+ >DOI >Link

Lisboa PJG, Romero E, Vellido A, Julia-Sape M, Arus C. 2008. Classification, Dimensionality Reduction, and Maximally Discriminatory Visualization of a Multicentre H-1-MRS Database of Brain Tumors Wani MA, Chen X, Casasent D, Kurgan L, Hu T, Hafeez K. SEVENTH INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS, PROCEEDINGS, 7th International Conference on Machine Learning and Applications :613-+ >DOI >Link

Etchells TA, Fernandes AS, Jarman IH, Fonseca JM, Lisboa PJG. 2008. Stratification of severity of illness indices: A case study for breast cancer prognosis Lovrek I, Howlett RJ, Jain LC. KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 2, PROCEEDINGS, 12th International Conference on Knowledge-Based Intelligent Information and Engineering Systems 5178 :214-+ >Link

Bacciu D, Biganzoli E, Lisboa PJG, Starita A. 2008. Are model-based clustering and neural clustering consistent? A case study from bioinformatics Lovrek I, Howlett RJ, Jain LC. KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 2, PROCEEDINGS, 12th International Conference on Knowledge-Based Intelligent Information and Engineering Systems 5178 :181-+ >Link

Green AR, Garibaldi JM, Soria D, Ambrogi F, Ball G, Lisboa PJG, Etchells TA, Boracchi P, Biganzoli E, Macmillan RD, Blamey RW, Powe DG, Rakha EA, Ellis IO. 2008. Identification and definition of novel clinical phenotypes of breast cancer through consensus derived from automated clustering methods BREAST CANCER RESEARCH, Breast Cancer Research Meeting 10 :S36-S36 >DOI >Link

Green A, Garibaldi JM, Soria D, Ambrogi F, Powe DG, Ball G, Lisboa PJG, Boracchi P, Biganzoli E, Ellis IO. 2008. Identification of key breast cancer phenotypes EJC SUPPLEMENTS, 6th European Breast Cancer Conference 6 :183-183 >DOI >Link

Lisboa PJG, Etchells TA, Jarman IH, Aung MSH, Chabaud S, Bachelot T, Perol D, Gargi T, Bourdes V, Bonnevay S, Negrier S. 2008. Time-to-event analysis with artificial neural networks: An integrated analytical and rule-based study for breast cancer NEURAL NETWORKS, International Joint Conference on Neural Networks 21 :414-426 >DOI >Link

Green AR, Garibaldi JM, Soria D, Ambrogi F, Powe D, Rakha E, Macmillan RD, Blamey RW, Ball G, Lisboa PJG, Etchells TA, Boracchi P, Ellis IO. 2008. Identification of novel clinical phenotypes of breast cancer by immunohistochemical analysis MODERN PATHOLOGY, 97th Annual Meeting of the United-States-and-Canadian-Academy-of-Pathology 21 :34A-34A >Link

Al-Fayadh A, Hussain AJ, Lisboa P, Al-Jumeily D. 2007. Hybrid Classified Vector Quantisation and its application to image compression EUROCON 2007: THE INTERNATIONAL CONFERENCE ON COMPUTER AS A TOOL, VOLS 1-6, International Conference on Computer as a Tool (EUROCON 2007) :130-135 >Link

Al-Fayadh A, Hussain AJ, Lisboa P, Al-Jumeily D. 2007. A Hybrid Classified Vector Quantisation and Its Application to Image Compression ICSPC: 2007 IEEE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATIONS, VOLS 1-3, PROCEEDINGS, IEEE International Conference on Signal Processing and Communications :125-128 >Link

Li M, Dias B, El-Deredy W, Lisboa PJG. 2007. A Probabilistic Model for Item-Based Recommender Systems RECSYS 07: PROCEEDINGS OF THE 2007 ACM CONFERENCE ON RECOMMENDER SYSTEMS, ACM Conference on Recommender Systems :129-132 >Link

Lisboa PJG, Etchells TA, Jarman IH, Aung MSH, Chabaud S, Bachelot T, Pero D, Gargi T, Bourdes V, Bonnevay S, Negrier S. 2007. Time-to-event analysis with artificial neural networks: An integrated analytical and rule-based study for breast cancer 2007 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-6, International Joint Conference on Neural Networks :2532-+ >Link

Lisboa PJG, Biganzoli EM, Taktak AF, Etchells TA, Jarman IH, Aung MSH, Ambrogi F. 2007. Assessing flexible models and rule extraction from censored survival data 2007 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-6, International Joint Conference on Neural Networks :1663-+ >DOI >Link

Bourdes VS, Bonnevay S, Lisboa PJG, Aung MSH, Chabaud S, Bachelot T, Perol D, Negrier S. 2007. Breast cancer predictions by neural networks analysis: a comparison with logistic regression 2007 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-16, 29th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society :5424-+ >DOI >Link

Eleuteri A, Aung ASH, Taktak AFG, Damato B, Lisboa PJG. 2007. Continuous and discrete time survival analysis: Neural network approaches 2007 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-16, 29th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society :5420-+ >DOI >Link

Lisboa PJG, Etchells TA, Jarman IH, Aung MSH, Chabaud S, Bachelot T, Perol D, Gargi T, Bourdes V, Bonnevay S, Negrier S. 2007. Development of a rule based prognostic tool for HER 2 positive breast cancer patients 2007 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-16, 29th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society :5416-+ >DOI >Link

Green AR, Garibaldi JM, Soria D, Ambrogi F, Ball G, Lisboa PJG, Etchells TA, Boracchi P, Biganzoli E, Macmillan RD, Blamey RW, Ellis IO. 2007. Identification of sub-classes of breast cancer through consensus derived from automated clustering methods EJC SUPPLEMENTS, 10th Nottingham International Breast Cancer Conference 5 :18-18 >DOI >Link

Lisboa PJG, Jarman IH, Etchells TA, Ramsey P. 2007. A prototype integrated decision support system for breast cancer oncology Sandoval F, Prieto A, Cabestany J, Grana M. COMPUTATIONAL AND AMBIENT INTELLIGENCE, 9th International Work-Conference on Artificial Neural Networks 4507 :996-+ >Link

Vellido A, Lisboa PJG. 2007. Neural networks and other machine learning methods in cancer research Sandoval F, Prieto A, Cabestany J, Grana M. COMPUTATIONAL AND AMBIENT INTELLIGENCE, 9th International Work-Conference on Artificial Neural Networks 4507 :964-+ >Link

Aung MSH, Lisboa PJG, Etchells TA, Testa AC, Van Calster B, Van Huffel S, Valentin L, Timmerman D. 2007. Comparing analytical decision support models through boolean rule extraction: A case study of ovarian tumour malignancy Liu DR, Fei SM, Hou ZG, Zhang HG, Sun CY. ADVANCES IN NEURAL NETWORKS - ISNN 2007, PT 2, PROCEEDINGS, 4th International Symposium on Neural Networks (ISNN 2007) 4492 :1177-+ >Link

Hussain AJ, Knowles A, Lisboa P, El-Deredy W, Al-Jumeily D. 2006. Polynomial pipelined neural network and its application to financial time series prediction Sattar A, Kang BH. AI 2006: ADVANCES IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 19th Australian Joint Conference on Artificial Intelligence 4304 :597-+ >Link

Patel S, Bataveljic O, Lisboa PJ, Hawkins C, Rajan R. 2006. IShakti - Crossing the digital divide in rural India 2006 IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE, (WI 2006 MAIN CONFERENCE PROCEEDINGS), IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2006) :1061-+ >DOI >Link

Vellido A, Lisboa PJG, Vicente D. 2006. Robust analysis of MRS brain tumour data using t-GTM NEUROCOMPUTING, 13th European Symposium on Artificial Neural Networks (ESANN) 69 :754-768 >DOI >Link

Lisboa PJG, Patel S. 2004. Cluster-based visualisation of marketing data Yang ZR, Everson R, Yin H. INTELLIGENT DAA ENGINEERING AND AUTOMATED LEARNING IDEAL 2004, PROCEEDINGS, 5th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2004) 3177 :552-558 >Link

Coombes N, Payne R, Lisboa P. 2002. Comparison of nested simulated annealing and reactive tabu search for efficient experimental designs with correlated data COMPSTAT 2002: PROCEEDINGS IN COMPUTATIONAL STATISTICS, :249-254 >Link

Lisboa PJG, Wong H. 2001. Are neural networks best used to help logistic regression? An example from breast cancer survival analysis IJCNN'01: INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-4, PROCEEDINGS, International Joint Conference on Neural Networks (IJCNN 01) :2472-2477 >DOI >Link

Lisboa PJG, Lee YYB, El-Deredy W, Huang Y, Harris P. 2000. Robust methodology for the discrimination of brain tumours from in vivo magnetic resonance spectra FIRST INTERNATIONAL CONFERENCE ON ADVANCES IN MEDICAL SIGNAL AND INFORMATION PROCESSING, 1st International Conference on Advances in Medical Signal and Information Processing :88-95 >Link

Vellido A, Lisboa PJG, Meehan K. 2000. Quantitative characterization and prediction of on-line purchasing behavior: A latent variable approach INTERNATIONAL JOURNAL OF ELECTRONIC COMMERCE, 32nd Hawaii International Conference on Systems Science (HICSS) 4 :83-104 >Link

Vellido A, Lisboa PJG, Meehan K. 2000. Segmenting the e-commerce market using the Generative Topographic Mapping Cairo O, Sucar LE, Cantu FJ. MICAI 2000: ADVANCES IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS, Mexican International Conference on Artificial Intelligence (MICAI 2000) 1793 :470-481 >Link

Agogino A, Ghosh J, Perantonis SJ, Virvilis V, Petridis S, Lisboa PJG. 2000. The role of multiple, linear-projection based visualization techniques in RBF-hased classification of high dimensional data Amari SI, Giles CL, Mori M, Piuri V. IJCNN 2000: PROCEEDINGS OF THE IEEE-INNS-ENNS INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOL III, IEEE/INNS/ENNS International Joint Conference on Neural Networks (IJCNN 2000) :47-52 >Link

Lisboa PJG, Vellido A, Wong H. 2000. Outstanding issues for clinical decision support with neural networks Malmgren H, Borga M, Niklasson L. ARTIFICIAL NEURAL NETWORKS IN MEDICINE AND BIOLOGY, Conference on Artificial Neural Networks in Medicine and Biology (ANNIMAB-1) :63-71 >Link

Lisboa PJG. 1998. The taming of the shrew - Clinical applications of neural networks Ifeachor EC, Sperduti A, Starita A. PROCEEDING OF THE THIRD INTERNATIONAL CONFERENCE ON NEURAL NETWORKS AND EXPERT SYSTEMS IN MEDICINE AND HEALTHCARE, 3rd International Conference on Neural Networks and Expert Systems in Medicine and Healthcare :12-19 >Link

Branston NM, El-Deredy W, Lisboa PJG, Thomas DGT. 1998. Visualisation of human basal ganglia neuron responses using the generative topographic mapping (GTM) algorithm IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE, 2nd IEEE World Congress on Computational Intelligence (WCCI 98) :326-331 >Link

Lisboa PJG, Wong H, Vellido A, Kirby SPJ, Harris P, Swindell R. 1998. Survival of breast cancer patients following surgery: A detailed assessment of the multi-layer perceptron and Cox's proportional hazard model IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE, 2nd IEEE World Congress on Computational Intelligence (WCCI 98) :112-116 >Link

Grudin MA, Harvey DM, Timchenko LI, Lisboa PGJ. 1997. Fast face recognition method using a multistage hierarchical network 1997 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I - V, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 97) :2545-2548 >Link

Lisboa PJG, Branston NM, ElDeredy W, Vellido A. 1997. Tissue characterisation with NMR spectroscopy: Current state and future prospects for the application of neural networks analysis 1997 IEEE INTERNATIONAL CONFERENCE ON NEURAL NETWORKS, VOLS 1-4, 1997 IEEE International Conference on Neural Networks (ICNN 97) :1385-1390 >Link

Grudin MA, Lisboa PJG, Harvey DM. 1997. Compact multi-level representation of human faces for identification SIXTH INTERNATIONAL CONFERENCE ON IMAGE PROCESSING AND ITS APPLICATIONS, VOL 1, 6th International Conference on Image Processing and its Applications :111-115 >Link

Grudin MA, Lisboa PJG, Harvey DM. 1997. A neural-network approach for compact multi-level representation of human faces FIFTH INTERNATIONAL CONFERENCE ON ARTIFICIAL NEURAL NETWORKS, 5th International Conference on Artificial Neural Networks :42-47 >Link

Lisboa PJG, MehriDehnavi AR. 1996. Sensitivity methods for variable selection using the MLP INTERNATIONAL WORKSHOP ON NEURAL NETWORKS FOR IDENTIFICATION, CONTROL, ROBOTICS, AND SIGNAL/IMAGE PROCESSING - PROCEEDINGS, International Workshop on Neural Networks for Identification, Control, Robotics, and Signal/Image Processing :330-338 >DOI >Link

Meng H, Lisboa PJG, Russell PC, Jones GR. 1996. The modelling of plasma etching processes using neural network and statistical techniques PROCEEDINGS OF THE 1996 IEEE INTERNATIONAL SYMPOSIUM ON INTELLIGENT CONTROL, 1996 IEEE International Symposium on Intelligent Control :218-223 >DOI >Link

EVANS JT, GOMM JB, WILLIAMS D, LISBOA PJG. 1994. IMPLEMENTATION AND PERFORMANCE EVALUATION OF AN ONLINE NEURAL-NETWORK CONTROL SCHEME INTERNATIONAL CONFERENCE ON CONTROL 94, VOLS 1 AND 2, International Conference on Control 94 :629-633 >Link

KODOGIANNIS VS, LISBOA PJG, LUCAS J. 1994. Neural network based predictive control systems for Underwater Robotic Vehicles ELECTRO '94, Electro 94 International :369-376 >Link

WILLIAMS D, EVANS JT, GOMM JB, LISBOA PJG. 1993. APPLICATION OF AN ARTIFICIAL NEURAL-NETWORK TO ONLINE CONTROL OF A PROCESS Rzevski G, Pastor J, Adey RA. APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN ENGINEERING VIII, VOL 2, 8TH INTERNATIONAL CONF ON APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN ENGINEERING ( AIENG 93 ) :771-786 >Link

EVANS JT, GOMM JB, WILLIAMS D, LISBOA PJG, TO QS. 1992. NONLINEAR PROCESS MODELING WITH ARTIFICIAL NEURAL NETWORKS Luker P. PROCEEDINGS OF THE 1992 SUMMER COMPUTER SIMULATION CONFERENCE, 1992 SUMMER COMPUTER SIMULATION CONF / 24TH ANNUAL SUMMER COMPUTER SIMULATION CONF :637-641 >Link

LISBOA PJG, MALLAIAH M. 1992. THE ROLE OF LOCAL SCALE AND ORIENTATION IN FEATURE LOCATION USING NEURAL NETS 11TH IAPR INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, PROCEEDINGS, VOL III, Conference C: Image, Speech, and Signal Analysis, at the 11th IAPR International Conference on Pattern Recognition :672-675 >DOI >Link

BINNS KJ, LISBOA PJ, ALDIN MSN. 1991. THE USE OF CANNED ROTORS IN HIGH-SPEED PERMANENT-MAGNET MACHINES FIFTH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND DEVICES, 5TH INTERNATIONAL CONF ON ELECTRICAL MACHINES AND DEVICES 341 :21-25 >Link

LISBOA PJG, PERANTONIS SJ. 1991. INVARIANT DIGIT RECOGNITION BY ZERNIKE MOMENTS AND 3RD-ORDER NEURAL NETWORKS SECOND INTERNATIONAL CONFERENCE ON ARTIFICIAL NEURAL NETWORKS, 2ND INTERNATIONAL CONF ON ARTIFICIAL NEURAL NETWORKS 349 :82-85 >Link

LISBOA PJG, PERANTONIS SJ. 1991. INVARIANT PATTERN-RECOGNITION USING 3RD-ORDER NETWORKS AND ZERNIKE MOMENTS 1991 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-3, INTERNATIONAL JOINT CONF ON NEURAL NETWORKS :1421-1425 >Link

Harris B, Dobbins C, Fairclough S, Lisboa P. Measuring Academic Stress ‘In the Wild’ with Wearable Sensors: Removal of Noise from Wearable Sensor Data Using Fir Filters 1st Neuroadaptive Technology Conference 2017 (NAT’17)

Chapters

Ortega-Martorell S, Julia-Sapé M, Lisboa P, Arús C. 2016. Pattern recognition analysis of MR spectra 5 :945-958 >DOI

Bacciu D, Lisboa PJG, Sperduti A, Villmann T. 2015. Probabilistic modeling in machine learning Springer Handbook of Computational Intelligence :545-575 9783662435052 >DOI

Jarman IH, Lisboa PJG, Etchells TA, Chambers SJ, Bacciu D, Whittaker J, Garibaldi J, Ortega-Martorell S, Vellido A, Ellis IO. 2012. Discovering Hidden Pathways in Bioinformatics Biganzoli , Vellido A, Ambrogi F, Tagliaferri R. Computational Intelligence Methods for Bioinformatics and Biostatistics 7548 :49-60 Springer Berlin Heidelberg 978-3-642-35685-8 >DOI

Knowles A, Hussain A, El Deredy W, Lisboa PGJ, Dunis CL. 2008. Higher order neural networks with bayesian confidence measure for the prediction of the EUR/USD exchange rate Artificial Higher Order Neural Networks for Economics and Business :48-59 9781599048970 >DOI

Other

Ortega Martorell S, Olier I, Delgado-Goñi T, Ciezka M, Candiota AP, Julià-Sapé M, Pumarola M, Lisboa P, Arús C. 2015. Source-based nosologic imaging of response to therapy in pre-clinical glioblastoma International Society for Magnetic Resonance in Medicine (ISMRM) 2015,

Mocioiu V, Ortega Martorell S, Olier I, Jablonski M, Starcukova J, Lisboa P, Arús C, Julià-Sapé M. 2015. jMRUI plugin software (jMRUI2XML) to allow automated MRS processing and XMLbased standardized output European Society for Magnetic Resonance in Medicine and Biology (ESMRMB) 2015,

Ciezka M, Delgado-Goñi T, Ortega-Martorell S, Olier I, Julià-Sapé M, Candiota AP, Lisboa P. 2014. Nosological imaging of glioblastoma response to therapy XIV Congress of the Spanish Biophysical Society 2014,

Verheul JP, robinson , vanrenterghem , lisboa , pogson , gregson . Training load monitoring in soccer: can a mass-spring-damper model reproduce ground reaction forces during dynamic tasks?

Engagement & Impact

Highlighted activities

External committees:

Committee name: Horizon 2020 Advisory Group for Societal Challenge 1: Health, Demographic Change and Well-being., Organisation: European Commission, Position: Chair (10th May 2017 onwards) Co-Chair (1st Jan 2016) Member & Chair of ICT Group (1st Jan 2014), URL: https://ec.europa.eu/research/health/pdf/ag_advice_report_2018-2020.pdf

Committee name: Data Mining Technical Committee, Organisation: IEEE Computational Intelligence Society, Position: Chair/co-chair of Medical Data Analysis Task Force, URL: http://cis.ieee.org/data-mining-tc.html

Professional activities

Award:

Award title: Most Cited Article 2006-2010 Awarded to Lisboa, P.J.G. and Taktak, A.F.K. for the paper entitled "The use of artificial neural networks in decision support in cancer: A systematic review" published in Neural Networks, 19(4): 408-415, 2006., Awarding body: Neural Networks (Elsevier Journal), URL: http://www.elsevier.com/wps/find/journaldescription.cws_home/841/description#description

External committees:

Committee name: Horizon 2020 Advisory Group for Societal Challenge 1: Health, Demographic Change and Well-being., Organisation: European Commission, Position: Chair (10th May 2017 onwards) Co-Chair (1st Jan 2016) Member & Chair of ICT Group (1st Jan 2014), URL: https://ec.europa.eu/research/health/pdf/ag_advice_report_2018-2020.pdf

Committee name: Data Mining Technical Committee, Organisation: IEEE Computational Intelligence Society, Position: Chair/co-chair of Medical Data Analysis Task Force, URL: http://cis.ieee.org/data-mining-tc.html