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Paulo J. G. Lisboa
- > Home > Persons > Paulo J. G. Lisboa
Publications
- 2011
- [c41]Corneliu T. C. Arsene, Paulo J. G. Lisboa, Elia Biganzoli:
Model Selection with PLANN-CR-ARD. IWANN (2) 2011: 210-219 - 2010
- [j33]Daniele Soria, Jonathan M. Garibaldi, Federico Ambrogi, Andrew R. Green, Des Powe, Emad A. 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. Comput. Biol. Medicine 40(3): 318-330 (2010) - [j32]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 Comput. Intell. Mag. 5(1): 14-18 (2010) - [c38]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 - [c37]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 - 2009
- [j28]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. Int. J. Knowl. Eng. Soft Data Paradigms 1(3): 257-276 (2009) - [j25]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 Trans. Neural Networks 20(9): 1403-1416 (2009) - [c32]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 - [p2]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 - 2008
- [c29]Alfredo Vellido, Elia Biganzoli, Paulo J. G. Lisboa:
Machine learning in cancer research: implications for personalised medicine. ESANN 2008: 55-64 - [c26]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 - [c24]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 - 2007
- [j20]Azzam F. Taktak, Laura Antolini, Min S. Hane Aung, Patrizia Boracchi, Ian 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. Comput. Biol. Medicine 37(8): 1108-1120 (2007) - [c20]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
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