| 2009 | ||
|---|---|---|
| 44 | Ana S. Fernandes, Ian H. Jarman, Terence A. Etchells, José M. Fonseca, Elia Biganzoli, Chris Bajdik, Paulo J. G. Lisboa: Stratification Methodologies for Neural Networks Models of Survival. IWANN (1) 2009: 989-996 | |
| 43 | 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 | |
| 42 | 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 | |
| 41 | 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) | |
| 2008 | ||
| 40 | Alfredo Vellido, Elia Biganzoli, Paulo J. G. Lisboa: Machine learning in cancer research: implications for personalised medicine. ESANN 2008: 55-64 | |
| 39 | Azzam F. Taktak, Antonio Eleuteri, M. S. Hane Aung, Paulo J. G. Lisboa, Laurence Desjardins, Bertil Damato: External Validation of a Bayesian Neural Network Model in Survival Analysis. ICMLA 2008: 607-612 | |
| 38 | Paulo J. G. Lisboa, Enrique Romero, Alfredo Vellido, Margarida Julià-Sape, Carles Arús: Classification, Dimensionality Reduction, and Maximally Discriminatory Visualization of a Multicentre 1H-MRS Database of Brain Tumors. ICMLA 2008: 613-618 | |
| 37 | Ana S. Fernandes, Ian H. Jarman, Terence A. Etchells, José M. 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 | |
| 36 | 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 | |
| 35 | 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 | |
| 34 | Terence A. Etchells, Ana S. Fernandes, Ian H. Jarman, José M. Fonseca, Paulo J. G. Lisboa: Stratification of Severity of Illness Indices: A Case Study for Breast Cancer Prognosis. KES (2) 2008: 214-221 | |
| 33 | 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 | |
| 32 | Ian H. Jarman, Terence A. Etchells, Jose 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) | |
| 31 | 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) | |
| 30 | 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) | |
| 29 | Paulo J. G. Lisboa, I. O. Ellis, A. R. Green, Federico Ambrogi, M. Benjamin Dias: Cluster-based visualisation with scatter matrices. Pattern Recognition Letters 29(13): 1814-1823 (2008) | |
| 2007 | ||
| 28 | 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 | |
| 27 | 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 | |
| 26 | 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 | |
| 25 | 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 | |
| 24 | Alfredo Vellido, Paulo J. G. Lisboa: Neural Networks and Other Machine Learning Methods in Cancer Research. IWANN 2007: 964-971 | |
| 23 | 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 | |
| 22 | Ming Li, M. Benjamin Dias, Wael El-Deredy, Paulo J. G. Lisboa: A probabilistic model for item-based recommender systems. RecSys 2007: 129-132 | |
| 21 | 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) | |
| 2006 | ||
| 20 | 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 | |
| 19 | 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 | |
| 18 | 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 | |
| 17 | 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) | |
| 16 | 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) | |
| 15 | 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) | |
| 2005 | ||
| 14 | 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 | |
| 13 | Alfredo Vellido, Paulo J. G. Lisboa: Functional topographic mapping for robust handling of outliers in brain tumour data. ESANN 2005: 133-138 | |
| 12 | 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) | |
| 2004 | ||
| 11 | Paulo J. G. Lisboa, Shail Patel: Cluster-Based Visualisation of Marketing Data. IDEAL 2004: 552-558 | |
| 2003 | ||
| 10 | 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) | |
| 2002 | ||
| 9 | 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) | |
| 8 | 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) | |
| 2001 | ||
| 7 | 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) | |
| 2000 | ||
| 6 | 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 | |
| 5 | Alfredo Vellido, Paulo J. G. Lisboa, Karon Meehan: Segmenting the e-Commerce Market Using the Generative Topographic Mapping. MICAI 2000: 470-481 | |
| 4 | 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) | |
| 3 | 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) | |
| 1999 | ||
| 2 | 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) | |
| 1996 | ||
| 1 | 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) | |