Paulo J. G. Lisboa

Sandra Ortega-Martorell, Paulo J. G. Lisboa, Alfredo Vellido, Margarida Julià-Sapé, Carles Arús: Non-negative matrix factorisation methods for the spectral decomposition of MRS data from human brain tumours. BMC Bioinformatics 13: 38 (2012)

Enrique Romero, Tingting Mu, Paulo J. G. Lisboa: Cohort-based kernel visualisation with scatter matrices. Pattern Recognition 45(4): 1436-1454 (2012)

Corneliu T. C. Arsene, Paulo J. G. Lisboa: Multicentre study design in survival analysis. CIBCB 2012: 135-143

Corneliu T. C. Arsene, Paulo J. G. Lisboa: Bayesian Neural Network with and without compensation for competing risks. IJCNN 2012: 1-8

Héctor Ruiz, Ian H. Jarman, José D. Martín, Sandra Ortega-Martorell, Alfredo Vellido, Enrique Romero, Paulo J. G. Lisboa: Towards interpretable classifiers with blind signal separation. IJCNN 2012: 1-7

Corneliu T. C. Arsene, Paulo J. G. Lisboa: Bayesian Neural Network Applied in Medical Survival Analysis of Primary Biliary Cirrhosis. UKSim 2012: 81-85

Malcolm J. Taylor, B. Matata, R. Stables, A. Laws, D. England, Paulo J. G. Lisboa: Issues in online patient self-reporting of health status. Health Informatics Journal 17(1): 5-14 (2011)

Ian H. Jarman, Terence A. Etchells, Davide Bacciu, Jonathan M. Garibaldi, Ian O. Ellis, Paulo J. G. Lisboa: Clustering of protein expression data: a benchmark of statistical and neural approaches. Soft Comput. 15(8): 1459-1469 (2011)

Ian H. Jarman, Terence A. Etchells, Paulo J. G. Lisboa, C. M. Beynon, José David Martín-Guerrero: Clustering categorical data: A stability analysis framework. CIDM 2011: 58-65

Héctor Ruiz, Ian H. Jarman, José D. Martín, Paulo J. G. Lisboa: The role of Fisher information in primary data space for neighbourhood mapping. ESANN 2011

Alfredo Vellido, José D. Martín, Fabrice Rossi, Paulo J. G. Lisboa: Seeing is believing: The importance of visualization in real-world machine learning applications. ESANN 2011

Sandra Ortega-Martorell, Paulo J. G. Lisboa, Alfredo Vellido, Rui V. Simões, Margarida Julià-Sapé, Carles Arús: Brain Tumor Pathological Area Delimitation through Non-negative Matrix Factorization. ICDM Workshops 2011: 1058-1063

Corneliu T. C. Arsene, Paulo J. G. Lisboa: PLANN-CR-ARD model predictions and Non-parametric estimates with Confidence Intervals. IJCNN 2011: 1553-1561

Sandra Ortega-Martorell, Alfredo Vellido, Paulo J. G. Lisboa, Margarida Julià-Sapé, Carles Arús: Spectral decomposition methods for the analysis of MRS information from human brain tumors. IJCNN 2011: 3279-3284

Corneliu T. C. Arsene, Paulo J. G. Lisboa, Elia Biganzoli: Model Selection with PLANN-CR-ARD. IWANN (2) 2011: 210-219

Riccardo Rizzo, Paulo J. G. Lisboa (Eds.): Computational Intelligence Methods for Bioinformatics and Biostatistics - 7th International Meeting, CIBB 2010, Palermo, Italy, September 16-18, 2010, Revised Selected Papers. Lecture Notes in Computer Science 6685, Springer 2011, isbn 978-3-642-21945-0

Daniele Soria, Jonathan M. Garibaldi, Federico Ambrogi, Andrew R. Green, Des Powe, Emad Rakha, R. Douglas Macmillan, Roger W. Blamey, Graham R. Ball, Paulo J. G. Lisboa, Terence A. Etchells, Patrizia Boracchi, Elia Biganzoli, Ian O. Ellis: A methodology to identify consensus classes from clustering algorithms applied to immunohistochemical data from breast cancer patients. Comp. in Bio. and Med. 40(3): 318-330 (2010)

Paulo J. G. Lisboa, Alfredo Vellido, Roberto Tagliaferri, Francesco Napolitano, Michele Ceccarelli, José David Martín-Guerrero, Elia Biganzoli: Data Mining in Cancer Research [Application Notes]. IEEE Comp. Int. Mag. 5(1): 14-18 (2010)

Paulo J. G. Lisboa, Alfredo Vellido, José D. Martín: Computational Intelligence in biomedicine: Some contributions. ESANN 2010

Ana S. Fernandes, Pedro Alves, Ian H. Jarman, Terence A. Etchells, José Manuel Fonseca, Paulo J. G. Lisboa: A Clinical Decision Support System for Breast Cancer Patients. DoCEIS 2010: 122-129

Ilaria Ardoino, Federico Ambrogi, Chris Bajdik, Paulo J. G. Lisboa, Elia Biganzoli, Patrizia Boracchi: Flexible parametric modelling of the hazard function in breast cancer studies. IJCNN 2010: 1-5

Paulo J. G. Lisboa, Ana Sofia Fernandes, José Manuel Fonseca, Chris Bajdik, Elia Biganzoli: Assessment of benefit vs. risk of drug therapy: The potential for outcome analysis with flexible models. IJCNN 2010: 1-8

Enrique Romero, Ana Sofia Fernandes, Tingting Mu, Paulo J. G. Lisboa: Cohort-based kernel visualisation with scatter matrices. IJCNN 2010: 1-8

Thorsteinn S. Rögnvaldsson, Terence A. Etchells, Liwen You, Daniel Garwicz, Ian H. Jarman, Paulo J. G. Lisboa: How to find simple and accurate rules for viral protease cleavage specificities. BMC Bioinformatics 10 (2009)

D. Faulke, Terence A. Etchells, M. J. Harrison, Paulo J. G. Lisboa: Determination of mode of ventilation using OSRE. Comp. in Bio. and Med. 39(11): 1032-1035 (2009)

Leif E. Peterson, Paulo J. G. Lisboa: Editorial. IJKESDP 1(3): 193-194 (2009)

Ana S. Fernandes, José Manuel Fonseca, Ian H. Jarman, Terence A. Etchells, Paulo J. G. Lisboa, Elia Biganzoli, Chris Bajdik: Evaluation of missing data imputation in longitudinal cohort studies in breast cancer survival. IJKESDP 1(3): 257-276 (2009)

Azzam Fouad George Taktak, Antonio Eleuteri, Min S. Hane Aung, Paulo J. G. Lisboa, Laurence Desjardins, Bertil E. Damato: Survival analysis in cancer using a partial logistic neural network model with Bayesian regularisation framework: a validation study. IJKESDP 1(3): 277-295 (2009)

Ali Al-Fayadh, Abir Jaafar Hussain, Paulo J. G. Lisboa, Dhiya Al-Jumeily: Novel hybrid classified vector quantization using discrete cosine transform for image compression. J. Electronic Imaging 18(2): 023003 (2009)

Paulo J. G. Lisboa, Terence A. Etchells, Ian H. Jarman, Corneliu T. C. Arsene, Min S. Hane Aung, Antonio Eleuteri, Azzam Fouad George Taktak, Federico Ambrogi, Patrizia Boracchi, Elia Biganzoli: Partial Logistic Artificial Neural Network for Competing Risks Regularized With Automatic Relevance Determination. IEEE Transactions on Neural Networks 20(9): 1403-1416 (2009)

Ana S. Fernandes, Davide Bacciu, Ian H. Jarman, Terence A. Etchells, José Manuel Fonseca, Paulo J. G. Lisboa: Different Methodologies for Patient Stratification Using Survival Data. CIBB 2009: 276-290

Abir Jaafar Hussain, Dhiya Al-Jumeily, Paulo J. G. Lisboa: Adaptive Classified Vector Quantisation of Non-orthogonal Representations of Images and its Application to Image Compression. CICSyN 2009: 386-391

Davide Bacciu, Ian H. Jarman, Terence A. Etchells, Paulo J. G. Lisboa: Patient stratification with competing risks by multivariate Fisher distance. IJCNN 2009: 213-220

Ana S. Fernandes, Ian H. Jarman, Terence A. Etchells, José Manuel Fonseca, Elia Biganzoli, Chris Bajdik, Paulo J. G. Lisboa: Stratification Methodologies for Neural Networks Models of Survival. IWANN (1) 2009: 989-996

Ming Li, M. Benjamin Dias, Ian H. Jarman, Wael El-Deredy, Paulo J. G. Lisboa: Grocery shopping recommendations based on basket-sensitive random walk. KDD 2009: 1215-1224

Paulo J. G. Lisboa, Ian H. Jarman, Terence A. Etchells, Federico Ambrogi, Ilaria Ardoino, Marco Vignetti, Elia Biganzoli: Short-term time-to-event model of response to treatment following the GIMEMA protocol for Acute Myeloid Leukaemia. Computational Intelligence and Bioengineering 2009: 81-93

José David Martín-Guerrero, Emilio Soria-Olivas, Paulo J. G. Lisboa, Antonio J. Serrano-López: An AI Walk from Pharmacokinetics to A Marketing. Encyclopedia of Artificial Intelligence 2009: 71-75

Ian H. Jarman, Terence A. Etchells, José D. Martín, Paulo J. G. Lisboa: An integrated framework for risk profiling of breast cancer patients following surgery. Artificial Intelligence in Medicine 42(3): 165-188 (2008)

Abir Jaafar Hussain, Adam Knowles, Paulo J. G. Lisboa, Wael El-Deredy: Financial time series prediction using polynomial pipelined neural networks. Expert Syst. Appl. 35(3): 1186-1199 (2008)

Paulo J. G. Lisboa, Terence A. Etchells, Ian H. Jarman, M. S. Hane Aung, Sylvie Chabaud, Thomas Bachelot, David Perol, Thérèse Gargi, Valérie Bourdès, Stéphane Bonnevay, Sylvie Négrier: 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)

Paulo J. G. Lisboa, Ian O. Ellis, Andrew R. Green, Federico Ambrogi, M. Benjamin Dias: Cluster-based visualisation with scatter matrices. Pattern Recognition Letters 29(13): 1814-1823 (2008)

Ali Al-Fayadh, Abir Jaafar Hussain, Paulo J. G. Lisboa, Dhiya Al-Jumeily: An Adaptive Hybrid Classified Vector Quantisation and its Application to Image Compression. EMS 2008: 253-256

Alfredo Vellido, Elia Biganzoli, Paulo J. G. Lisboa: Machine learning in cancer research: implications for personalised medicine. ESANN 2008: 55-64

Azzam F. Taktak, Antonio Eleuteri, M. S. Hane Aung, Paulo J. G. Lisboa, Laurence Desjardins, Bertil E. Damato: External Validation of a Bayesian Neural Network Model in Survival Analysis. ICMLA 2008: 607-612

Paulo J. G. Lisboa, Enrique Romero, Alfredo Vellido, Margarida Julià-Sapé, Carles Arús: Classification, Dimensionality Reduction, and Maximally Discriminatory Visualization of a Multicentre 1H-MRS Database of Brain Tumors. ICMLA 2008: 613-618

Ana S. Fernandes, Ian H. Jarman, Terence A. Etchells, José Manuel Fonseca, Elia Biganzoli, Chris Bajdik, Paulo J. G. Lisboa: Missing Data Imputation in Longitudinal Cohort Studies: Application of PLANN-ARD in Breast Cancer Survival. ICMLA 2008: 644-649

Ali Al-Fayadh, Abir Jaafar Hussain, Paulo J. G. Lisboa, Dhiya Al-Jumeily: An adaptive hybrid image compression method and its application to medical images. ISBI 2008: 237-240

Davide Bacciu, Elia Biganzoli, Paulo J. G. Lisboa, Antonina Starita: Are Model-Based Clustering and Neural Clustering Consistent? A Case Study from Bioinformatics. KES (2) 2008: 181-188

Terence A. Etchells, Ana S. Fernandes, Ian H. Jarman, José Manuel Fonseca, Paulo J. G. Lisboa: Stratification of Severity of Illness Indices: A Case Study for Breast Cancer Prognosis. KES (2) 2008: 214-221

M. Benjamin Dias, Dominique Locher, Ming Li, Wael El-Deredy, Paulo J. G. Lisboa: The value of personalised recommender systems to e-business: a case study. RecSys 2008: 291-294

Azzam F. Taktak, L. Antolini, Min S. Hane Aung, Patrizia Boracchi, I. Campbell, Bertil E. Damato, Emmanuel C. Ifeachor, Nicola Lama, Paulo J. G. Lisboa, Christian Setzkorn, Viktoriya Stalbovskaya, Elia Biganzoli: Double-blind evaluation and benchmarking of survival models in a multi-centre study. Comp. in Bio. and Med. 37(8): 1108-1120 (2007)

José David Martín-Guerrero, Paulo J. G. Lisboa, Emilio Soria-Olivas, Alberto Palomares, Emili Balaguer: An approach based on the Adaptive Resonance Theory for analysing the viability of recommender systems in a citizen Web portal. Expert Syst. Appl. 33(3): 743-753 (2007)

A. C. Fisher, Wael El-Deredy, R. P. Hagan, M. C. Brown, Paulo J. G. Lisboa: Removal of eye movement artefacts from single channel recordings of retinal evoked potentials using synchronous dynamical embedding and independent component analysis. Med. Biol. Engineering and Computing 45(1): 69-77 (2007)

Carmen M. Sordo-Garcia, M. Benjamin Dias, Ming Li, Wael El-Deredy, Paulo J. G. Lisboa: Evaluating Retail Recommender Systems via Retrospective Data: Lessons Learnt from a Live-Intervention Study. DMIN 2007: 197-206

Paulo J. G. Lisboa, Elia Biganzoli, Azzam F. Taktak, Terence A. Etchells, Ian H. Jarman, M. S. Hane Aung, Federico Ambrogi: Assessing flexible models and rule extraction from censored survival data. IJCNN 2007: 1663-1668

Paulo J. G. Lisboa, Terence A. Etchells, Ian H. Jarman, M. S. Hane Aung, Sylvie Chabaud, Thomas Bachelot, David Perol, Thérèse Gargi, Valérie Bourdès, Stéphane Bonnevay, Sylvie Négrier: Time-to-event analysis with artificial neural networks: An integrated analytical and rule-based study for breast cancer. IJCNN 2007: 2533-2538

M. S. Hane Aung, Paulo J. G. Lisboa, Terence A. Etchells, Antonia C. Testa, Ben Van Calster, Sabine Van Huffel, Lil Valentin, Dirk Timmerman: Comparing Analytical Decision Support Models Through Boolean Rule Extraction: A Case Study of Ovarian Tumour Malignancy. ISNN (2) 2007: 1177-1186

Alfredo Vellido, Paulo J. G. Lisboa: Neural Networks and Other Machine Learning Methods in Cancer Research. IWANN 2007: 964-971

Paulo J. G. Lisboa, Ian H. Jarman, Terence A. Etchells, Phillip Ramsey: A Prototype Integrated Decision Support System for Breast Cancer Oncology. IWANN 2007: 996-1003

Ming Li, M. Benjamin Dias, Wael El-Deredy, Paulo J. G. Lisboa: A probabilistic model for item-based recommender systems. RecSys 2007: 129-132

Alfredo Vellido, Paulo J. G. Lisboa: Handling outliers in brain tumour MRS data analysis through robust topographic mapping. Comp. in Bio. and Med. 36(10): 1049-1063 (2006)

Alfredo Vellido, Paulo J. G. Lisboa, Dolores Vicente: Robust analysis of MRS brain tumour data using t-GTM. Neurocomputing 69(7-9): 754-768 (2006)

Paulo J. G. Lisboa, Azzam Fouad George Taktak: The use of artificial neural networks in decision support in cancer: A systematic review. Neural Networks 19(4): 408-415 (2006)

Terence A. Etchells, Paulo J. G. Lisboa: Orthogonal search-based rule extraction (OSRE) for trained neural networks: a practical and efficient approach. IEEE Transactions on Neural Networks 17(2): 374-384 (2006)

Abir Jaafar Hussain, Adam Knowles, Paulo J. G. Lisboa, Wael El-Deredy, Dhiya Al-Jumeily: Polynomial Pipelined Neural Network and Its Application to Financial Time Series Prediction. Australian Conference on Artificial Intelligence 2006: 597-606

Terence A. Etchells, Àngela Nebot, Alfredo Vellido, Paulo J. G. Lisboa, Francisco Mugica: Learning what is important: feature selection and rule extraction in a virtual course. ESANN 2006: 401-406

Shail Patel, O. Bataveljic, Paulo J. G. Lisboa, C. Hawkins, R. Rajan: iShakti - Crossing the Digital Divide in Rural India. Web Intelligence 2006: 1061-1065

Andreas Lindemann, Christian L. Dunis, Paulo J. G. Lisboa: Level estimation, classification and probability distribution architectures for trading the EUR/USD exchange rate. Neural Computing and Applications 14(3): 256-271 (2005)

Alfredo Vellido, Paulo J. G. Lisboa, Dolores Vicente: Handling outliers and missing data in brain tumour clinical assessment using t-GTM. ESANN 2005: 121-126

Alfredo Vellido, Paulo J. G. Lisboa: Functional topographic mapping for robust handling of outliers in brain tumour data. ESANN 2005: 133-138

Paulo J. G. Lisboa, Shail Patel: Cluster-Based Visualisation of Marketing Data. IDEAL 2004: 552-558

Paulo J. G. Lisboa, H. Wong, P. Harris, R. Swindell: A Bayesian neural network approach for modelling censored data with an application to prognosis after surgery for breast cancer. Artificial Intelligence in Medicine 28(1): 1-25 (2003)

Alfredo Vellido, Wael El-Deredy, Paulo J. G. Lisboa: Selective smoothing of the generative topographic mapping. IEEE Transactions on Neural Networks 14(4): 847-852 (2003)

Paulo J. G. Lisboa, Terence A. Etchells, Dave C. Pountney: Minimal MLPs do not model the XOR logic. Neurocomputing 48(1-4): 1033-1037 (2002)

Paulo J. G. Lisboa: A review of evidence of health benefit from artificial neural networks in medical intervention. Neural Networks 15(1): 11-39 (2002)

Alfredo Vellido, Paulo J. G. Lisboa: An Electronic Commerce Application of the Bayesian Framework for MLPs: The Effect of Marginalisation and ARD. Neural Computing and Applications 10(1): 3-11 (2001)

Alfredo Vellido, Paulo J. G. Lisboa, Karon Meehan: The generative topographic mapping as a principal model for data visualization and market segmentation: an electronic commerce case. Int. J. Comput. Syst. Signal 1(2): 119-138 (2000)

Paulo J. G. Lisboa, Alfredo Vellido, H. Wong: Bias reduction in skewed binary classification with Bayesian neural networks. Neural Networks 13(4-5): 407-410 (2000)

A. Agogino, Joydeep Ghosh, Stavros J. Perantonis, Vassilis Virvilis, Sergios Petridis, Paulo J. G. Lisboa: The Role of Multiple, Linear-Projection Based Visualization Techniques in RBF-Based Classification of High Dimensional Data. IJCNN (3) 2000: 47-52

Alfredo Vellido, Paulo J. G. Lisboa, Karon Meehan: Segmenting the e-Commerce Market Using the Generative Topographic Mapping. MICAI 2000: 470-481

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

V. S. Kodogiannis, Paulo J. G. Lisboa, J. Lucas: Neural network modelling and control for underwater vehicles. AI in Engineering 10(3): 203-212 (1996)

Paulo J. G. Lisboa, Malcolm J. Taylor: Techniques and applications of neural networks. Ellis Horwood workshop series, Ellis Horwood 1993, isbn 978-0-13-062183-2, pp. 1-307