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ORCIDTerence A. Etchells
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2010 – 2019
- 2013
[j13]Paulo J. G. Lisboa, Terence A. Etchells, Ian H. Jarman, Simon J. Chambers:
Finding reproducible cluster partitions for the k-means algorithm. BMC Bioinform. 14(S-1): S8 (2013)- [j12]Davide Bacciu
, Terence A. Etchells, Paulo J. G. Lisboa, Joe Whittaker:
Efficient identification of independence networks using mutual information. Comput. Stat. 28(2): 621-646 (2013) - [j11]Héctor Ruiz, Terence A. Etchells, Ian H. Jarman, José David Martín-Guerrero, Paulo J. G. Lisboa:
A principled approach to network-based classification and data representation. Neurocomputing 112: 79-91 (2013) - 2011
- [j10]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) - [c15]Paulo J. G. Lisboa, Ian H. Jarman, Terence A. Etchells, Simon J. Chambers, Davide Bacciu, Joe Whittaker, Jonathan M. Garibaldi, Sandra Ortega-Martorell, Alfredo Vellido, Ian O. Ellis:
Discovering Hidden Pathways in Bioinformatics. CIBB 2011: 49-60 - [c14]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 - [c13]Ian H. Jarman, Terence A. Etchells, C. Perkins, M. A. Bellis, Paulo J. G. Lisboa:
Scenario Analysis for Local Area Life Expectancy Using Conditional Independence Maps. DeSE 2011: 92-97 - 2010
- [j9]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) - [c12]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
2000 – 2009
- 2009
- [j8]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 Bioinform. 10 (2009) - [j7]D. Faulke, Terence A. Etchells, M. J. Harrison, Paulo J. G. Lisboa:
Determination of mode of ventilation using OSRE. Comput. Biol. Medicine 39(11): 1032-1035 (2009) - [j6]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) - [j5]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) - [c11]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 - [c10]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 - [c9]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 - [p1]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
- [j4]Ian H. Jarman, Terence A. Etchells, José David Martín-Guerrero, Paulo J. G. Lisboa:
An integrated framework for risk profiling of breast cancer patients following surgery. Artif. Intell. Medicine 42(3): 165-188 (2008) - [j3]Paulo J. G. Lisboa, Terence A. Etchells, Ian H. Jarman, M. S. Hane Aung, Sylvie Chabaud, Thomas Bachelot, David Pérol, 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) - [c8]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 - [c7]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 - 2007
- [c6]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 - [c5]Paulo J. G. Lisboa, Terence A. Etchells, Ian H. Jarman, M. S. Hane Aung, Sylvie Chabaud, Thomas Bachelot, David Pérol, 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 - [c4]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 - [c3]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 - 2006
- [j2]Terence A. Etchells, Paulo J. G. Lisboa:
Orthogonal search-based rule extraction (OSRE) for trained neural networks: a practical and efficient approach. IEEE Trans. Neural Networks 17(2): 374-384 (2006) - [c2]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 - [c1]Alfredo Vellido, Terence A. Etchells, David L. García, Àngela Nebot:
Describing Customer Loyalty to Spanish Petrol Stations Through Rule Extraction. IDEAL 2006: 970-977 - 2003
- [b1]Terence Anthony Etchells:
Rule extraction from neural networks : a practical and efficient approach. Liverpool John Moores University, UK, 2003 - 2002
- [j1]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)
Coauthor Index
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