Terence A. Etchells

According to our database, Terence A. Etchells authored at least 29 papers between 2002 and 2013.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2013

A principled approach to network-based classification and data representation.

Héctor Ruiz, Terence A. Etchells, Ian H. Jarman, José David Martín-Guerrero, Paulo J. G. Lisboa

Neurocomputing, 2013

Efficient identification of independence networks using mutual information.

Davide Bacciu, Terence A. Etchells, Paulo J. G. Lisboa, Joe Whittaker

Comput. Stat., 2013

Finding reproducible cluster partitions for the k-means algorithm.

Paulo J. G. Lisboa, Terence A. Etchells, Ian H. Jarman, Simon J. Chambers

BMC Bioinform., 2013

2011

Clustering of protein expression data: a benchmark of statistical and neural approaches.

Ian H. Jarman, Terence A. Etchells, Davide Bacciu, Jonathan M. Garibaldi, Ian O. Ellis, Paulo J. G. Lisboa

Soft Comput., 2011

Scenario Analysis for Local Area Life Expectancy Using Conditional Independence Maps.

Ian H. Jarman, Terence A. Etchells, C. Perkins, M. A. Bellis, Paulo J. G. Lisboa

Proceedings of the 2011 Developments in E-systems Engineering, 2011

Clustering categorical data: A stability analysis framework.

Ian H. Jarman, Terence A. Etchells, Paulo J. G. Lisboa, C. M. Beynon, José David Martín-Guerrero

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011

Discovering Hidden Pathways in Bioinformatics.

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

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2011

2010

A methodology to identify consensus classes from clustering algorithms applied to immunohistochemical data from breast cancer patients.

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

Comput. Biol. Medicine, 2010

A Clinical Decision Support System for Breast Cancer Patients.

Ana S. Fernandes, Pedro Alves, Ian H. Jarman, Terence A. Etchells, José Manuel Fonseca, Paulo J. G. Lisboa

Proceedings of the Emerging Trends in Technological Innovation, 2010

2009

Short-term time-to-event model of response to treatment following the GIMEMA protocol for Acute Myeloid Leukaemia.

Paulo J. G. Lisboa, Ian H. Jarman, Terence A. Etchells, Federico Ambrogi, Ilaria Ardoino, Marco Vignetti, Elia Biganzoli

Proceedings of the Computational Intelligence and Bioengineering, 2009

Partial Logistic Artificial Neural Network for Competing Risks Regularized With Automatic Relevance Determination.

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

IEEE Trans. Neural Networks, 2009

Evaluation of missing data imputation in longitudinal cohort studies in breast cancer survival.

Ana S. Fernandes, José Manuel Fonseca, Ian H. Jarman, Terence A. Etchells, Paulo J. G. Lisboa, Elia Biganzoli, Chris Bajdik

Int. J. Knowl. Eng. Soft Data Paradigms, 2009

Determination of mode of ventilation using OSRE.

D. Faulke, Terence A. Etchells, M. J. Harrison, Paulo J. G. Lisboa

Comput. Biol. Medicine, 2009

How to find simple and accurate rules for viral protease cleavage specificities.

Thorsteinn S. Rögnvaldsson, Terence A. Etchells, Liwen You, Daniel Garwicz, Ian H. Jarman, Paulo J. G. Lisboa

BMC Bioinform., 2009

Stratification Methodologies for Neural Networks Models of Survival.

Ana S. Fernandes, Ian H. Jarman, Terence A. Etchells, José Manuel Fonseca, Elia Biganzoli, Chris Bajdik, Paulo J. G. Lisboa

Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Patient stratification with competing risks by multivariate Fisher distance.

Davide Bacciu, Ian H. Jarman, Terence A. Etchells, Paulo J. G. Lisboa

Proceedings of the International Joint Conference on Neural Networks, 2009

Different Methodologies for Patient Stratification Using Survival Data.

Ana S. Fernandes, Davide Bacciu, Ian H. Jarman, Terence A. Etchells, José Manuel Fonseca, Paulo J. G. Lisboa

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2009

2008

Time-to-event analysis with artificial neural networks: An integrated analytical and rule-based study for breast cancer.

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

Neural Networks, 2008

An integrated framework for risk profiling of breast cancer patients following surgery.

Ian H. Jarman, Terence A. Etchells, José David Martín-Guerrero, Paulo J. G. Lisboa

Artif. Intell. Medicine, 2008

Stratification of Severity of Illness Indices: A Case Study for Breast Cancer Prognosis.

Terence A. Etchells, Ana S. Fernandes, Ian H. Jarman, José Manuel Fonseca, Paulo J. G. Lisboa

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008

Missing Data Imputation in Longitudinal Cohort Studies: Application of PLANN-ARD in Breast Cancer Survival.

Ana S. Fernandes, Ian H. Jarman, Terence A. Etchells, José Manuel Fonseca, Elia Biganzoli, Chris Bajdik, Paulo J. G. Lisboa

Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

2007

A Prototype Integrated Decision Support System for Breast Cancer Oncology.

Paulo J. G. Lisboa, Ian H. Jarman, Terence A. Etchells, Phillip Ramsey

Proceedings of the Computational and Ambient Intelligence, 2007

Comparing Analytical Decision Support Models Through Boolean Rule Extraction: A Case Study of Ovarian Tumour Malignancy.

M. S. Hane Aung, Paulo J. G. Lisboa, Terence A. Etchells, Antonia C. Testa, Ben Van Calster, Sabine Van Huffel, Lil Valentin, Dirk Timmerman

Proceedings of the Advances in Neural Networks, 2007

Assessing flexible models and rule extraction from censored survival data.

Paulo J. G. Lisboa, Elia Biganzoli, Azzam F. Taktak, Terence A. Etchells, Ian H. Jarman, M. S. Hane Aung, Federico Ambrogi

Proceedings of the International Joint Conference on Neural Networks, 2007

2006

Orthogonal search-based rule extraction (OSRE) for trained neural networks: a practical and efficient approach.

Terence A. Etchells, Paulo J. G. Lisboa

IEEE Trans. Neural Networks, 2006

Describing Customer Loyalty to Spanish Petrol Stations Through Rule Extraction.

Alfredo Vellido, Terence A. Etchells, David L. García, Àngela Nebot

Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

Learning what is important: feature selection and rule extraction in a virtual course.

Terence A. Etchells, Àngela Nebot, Alfredo Vellido, Paulo J. G. Lisboa, Francisco Mugica

Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

2003

Rule extraction from neural networks : a practical and efficient approach.

Terence Anthony Etchells

PhD thesis, 2003

2002

Minimal MLPs do not model the XOR logic.

Paulo J. G. Lisboa, Terence A. Etchells, Dave C. Pountney

Neurocomputing, 2002