Terence A. Etchells

Héctor Ruiz, Terence A. Etchells, Ian H. Jarman, José D. Martín, Paulo J. G. Lisboa: A principled approach to network-based classification and data representation. Neurocomputing 112: 79-91 (2013)

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

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)

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

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)

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)

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

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

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

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)

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)

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

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

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

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

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)

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

Alfredo Vellido, Terence A. Etchells, David L. García, Àngela Nebot: Describing Customer Loyalty to Spanish Petrol Stations Through Rule Extraction. IDEAL 2006: 970-977

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)