Terence A. Etchells

Publication Activity (10 Years)

Years Active: 2002-2013
Publications (10 Years): 0

Top Topics

Kullback Leibler Divergence

Data Representations

Subspace Learning

Clustering Framework

Top Venues

Publications

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) (2013)
Davide Bacciu, Terence A. Etchells, Paulo J. G. Lisboa, Joe Whittaker
Efficient identification of independence networks using mutual information. Comput. Stat. 28 (2) (2013)
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 (2013)
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)
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)
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) (2011)
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)
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) (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)
D. Faulke, Terence A. Etchells, M. J. Harrison, Paulo J. G. Lisboa
Determination of mode of ventilation using OSRE. Comput. Biol. Medicine 39 (11) (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. Int. J. Knowl. Eng. Soft Data Paradigms 1 (3) (2009)
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)
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)
Davide Bacciu, Ian H. Jarman, Terence A. Etchells, Paulo J. G. Lisboa
Patient stratification with competing risks by multivariate Fisher distance. IJCNN (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)
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) (2009)
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)
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)
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) (2008)
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) (2008)
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)
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)
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)
Paulo J. G. Lisboa, Ian H. Jarman, Terence A. Etchells, Phillip Ramsey
A Prototype Integrated Decision Support System for Breast Cancer Oncology. IWANN (2007)
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) (2006)
Alfredo Vellido, Terence A. Etchells, David L. García, Àngela Nebot
Describing Customer Loyalty to Spanish Petrol Stations Through Rule Extraction. IDEAL (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)
Paulo J. G. Lisboa, Terence A. Etchells, Dave C. Pountney
Minimal MLPs do not model the XOR logic. Neurocomputing 48 (1-4) (2002)