Terence A. Etchells

29 papers B 4C 4Misc 1Journal 13Unranked 6

Year	Rank	Type	Title / Venue / Authors
2013	J	`jnl`	A principled approach to network-based classification and data representation. Neurocomputing Héctor Ruiz, Terence A. Etchells, Ian H. Jarman, José David Martín-Guerrero, Paulo J. G. Lisboa
2013	J	`jnl`	Efficient identification of independence networks using mutual information. Comput. Stat. Davide Bacciu, Terence A. Etchells, Paulo J. G. Lisboa, Joe Whittaker
2013	J	`jnl`	Finding reproducible cluster partitions for the k-means algorithm. BMC Bioinform. Paulo J. G. Lisboa, Terence A. Etchells, Ian H. Jarman, Simon J. Chambers
2011	C	`conf`	Clustering categorical data: A stability analysis framework. CIDM Ian H. Jarman, Terence A. Etchells, Paulo J. G. Lisboa, C. M. Beynon, José David Martín-Guerrero
2011	J	`jnl`	Clustering of protein expression data: a benchmark of statistical and neural approaches. Soft Comput. Ian H. Jarman, Terence A. Etchells, Davide Bacciu, Jonathan M. Garibaldi, Ian O. Ellis, Paulo J. G. Lisboa
2011	—	`conf`	Discovering Hidden Pathways in Bioinformatics. CIBB 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
2011	C	`conf`	Scenario Analysis for Local Area Life Expectancy Using Conditional Independence Maps. DeSE Ian H. Jarman, Terence A. Etchells, C. Perkins, M. A. Bellis, Paulo J. G. Lisboa
2010	—	`conf`	A Clinical Decision Support System for Breast Cancer Patients. DoCEIS Ana S. Fernandes, Pedro Alves, Ian H. Jarman, Terence A. Etchells, José Manuel Fonseca, Paulo J. G. Lisboa
2010	J	`jnl`	A methodology to identify consensus classes from clustering algorithms applied to immunohistochemical data from breast cancer patients. Comput. Biol. Medicine 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
2009	J	`jnl`	Determination of mode of ventilation using OSRE. Comput. Biol. Medicine D. Faulke, Terence A. Etchells, M. J. Harrison, Paulo J. G. Lisboa
2009	—	`conf`	Different Methodologies for Patient Stratification Using Survival Data. CIBB Ana S. Fernandes, Davide Bacciu, Ian H. Jarman, Terence A. Etchells, José Manuel Fonseca, Paulo J. G. Lisboa
2009	J	`jnl`	Evaluation of missing data imputation in longitudinal cohort studies in breast cancer survival. Int. J. Knowl. Eng. Soft Data Paradigms Ana S. Fernandes, José Manuel Fonseca, Ian H. Jarman, Terence A. Etchells, Paulo J. G. Lisboa, Elia Biganzoli, Chris Bajdik
2009	J	`jnl`	How to find simple and accurate rules for viral protease cleavage specificities. BMC Bioinform. Thorsteinn S. Rögnvaldsson, Terence A. Etchells, Liwen You, Daniel Garwicz, Ian H. Jarman, Paulo J. G. Lisboa
2009	J	`jnl`	Partial Logistic Artificial Neural Network for Competing Risks Regularized With Automatic Relevance Determination. IEEE Trans. Neural Networks 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
2009	B	`conf`	Patient stratification with competing risks by multivariate Fisher distance. IJCNN Davide Bacciu, Ian H. Jarman, Terence A. Etchells, Paulo J. G. Lisboa
2009	—	`ch.`	Short-term time-to-event model of response to treatment following the GIMEMA protocol for Acute Myeloid Leukaemia. Computational Intelligence and Bioengineering Paulo J. G. Lisboa, Ian H. Jarman, Terence A. Etchells, Federico Ambrogi, Ilaria Ardoino, Marco Vignetti, Elia Biganzoli
2009	—	`conf`	Stratification Methodologies for Neural Networks Models of Survival. IWANN (1) Ana S. Fernandes, Ian H. Jarman, Terence A. Etchells, José Manuel Fonseca, Elia Biganzoli, Chris Bajdik, Paulo J. G. Lisboa
2008	J	`jnl`	An integrated framework for risk profiling of breast cancer patients following surgery. Artif. Intell. Medicine Ian H. Jarman, Terence A. Etchells, José David Martín-Guerrero, Paulo J. G. Lisboa
2008	C	`conf`	Missing Data Imputation in Longitudinal Cohort Studies: Application of PLANN-ARD in Breast Cancer Survival. ICMLA Ana S. Fernandes, Ian H. Jarman, Terence A. Etchells, José Manuel Fonseca, Elia Biganzoli, Chris Bajdik, Paulo J. G. Lisboa
2008	—	`conf`	Stratification of Severity of Illness Indices: A Case Study for Breast Cancer Prognosis. KES (2) Terence A. Etchells, Ana S. Fernandes, Ian H. Jarman, José Manuel Fonseca, Paulo J. G. Lisboa
2008	J	`jnl`	Time-to-event analysis with artificial neural networks: An integrated analytical and rule-based study for breast cancer. Neural Networks 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
2007	Misc	`conf`	A Prototype Integrated Decision Support System for Breast Cancer Oncology. IWANN Paulo J. G. Lisboa, Ian H. Jarman, Terence A. Etchells, Phillip Ramsey
2007	B	`conf`	Assessing flexible models and rule extraction from censored survival data. IJCNN Paulo J. G. Lisboa, Elia Biganzoli, Azzam F. Taktak, Terence A. Etchells, Ian H. Jarman, M. S. Hane Aung, Federico Ambrogi
2007	—	`conf`	Comparing Analytical Decision Support Models Through Boolean Rule Extraction: A Case Study of Ovarian Tumour Malignancy. ISNN (2) M. S. Hane Aung, Paulo J. G. Lisboa, Terence A. Etchells, Antonia C. Testa, Ben Van Calster, Sabine Van Huffel, Lil Valentin, Dirk Timmerman
2007	B	`conf`	Time-to-event analysis with artificial neural networks: An integrated analytical and rule-based study for breast cancer. IJCNN 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
2006	C	`conf`	Describing Customer Loyalty to Spanish Petrol Stations Through Rule Extraction. IDEAL Alfredo Vellido, Terence A. Etchells, David L. García, Àngela Nebot
2006	B	`conf`	Learning what is important: feature selection and rule extraction in a virtual course. ESANN Terence A. Etchells, Àngela Nebot, Alfredo Vellido, Paulo J. G. Lisboa, Francisco Mugica
2006	J	`jnl`	Orthogonal search-based rule extraction (OSRE) for trained neural networks: a practical and efficient approach. IEEE Trans. Neural Networks Terence A. Etchells, Paulo J. G. Lisboa
2002	J	`jnl`	Minimal MLPs do not model the XOR logic. Neurocomputing Paulo J. G. Lisboa, Terence A. Etchells, Dave C. Pountney