T. Etchells

发表

INTELLIGENT INTERFACE FOR ADJUVANT TREATMENT PLANNING IN BREAST CANCER

I. Jarman, T. Etchells, P. Lisboa, 2005 .

Orthogonal search‐based rule extraction for modelling the decision to transfuse

M J Harrison, M. Harrison, T A Etchells, 2006, Anaesthesia.

Clustering categorical data: A stability analysis framework

Paulo J. G. Lisboa, José David Martín-Guerrero, Terence A. Etchells, 2011, 2011 IEEE Symposium on Computational Intelligence and Data Mining (CIDM).

O-59 Identification of sub-classes of breast cancer through consensus derived from automated clustering methods

Paulo J. G. Lisboa, Jonathan M. Garibaldi, Elia Biganzoli, 2007 .

p-Health in Breast Oncology: A Framework for Predictive and Participatory e-Systems

P. Lisboa, D. Bacciu, I. Jarman, 2009, 2009 Second International Conference on Developments in eSystems Engineering.

Efficient identification of independence networks using mutual information

P. Lisboa, J. Whittaker, D. Bacciu, 2012, Computational Statistics.

Finding reproducible cluster partitions for the k-means algorithm

Simon J. Chambers, P. Lisboa, I. Jarman, 2013, BMC Bioinformatics.

A Clinical Decision Support System for Breast Cancer Patients

Paulo J. G. Lisboa, Ana S. Fernandes, José Manuel Fonseca, 2010, DoCEIS.

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

Paulo J. G. Lisboa, Valérie Bourdès, Stéphane Bonnevay, 2007, 2007 International Joint Conference on Neural Networks.

Appropriate use of a CAS in the teaching and learning of mathematics

Terence Etchells, Carl Leinbach, David C. Pountney, 2002 .

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

Paulo J. G. Lisboa, Jonathan M. Garibaldi, Elia Biganzoli, 2010, Comput. Biol. Medicine.

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

Paulo J. G. Lisboa, Terence A. Etchells, Ian H. Jarman, 2009, BMC Bioinformatics.

Describing Customer Loyalty to Spanish Petrol Stations Through Rule Extraction

Àngela Nebot, Alfredo Vellido, Terence A. Etchells, 2006, IDEAL.

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

Sabine Van Huffel, Paulo J. G. Lisboa, Dirk Timmerman, 2007, ISNN.

Determination of mode of ventilation using OSRE

Paulo J. G. Lisboa, Terence A. Etchells, M. J. Harrison, 2009, Comput. Biol. Medicine.

Development of a Rule Based Prognostic Tool for HER 2 Positive Breast Cancer Patients

P.J.G. Lisboa, M.S.H. Aung, T.A. Etchells, 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Efficient identification of independence networks using mutual information

Davide Bacciu, Joe Whittaker, Paulo J. G. Lisboa, 2012, Computational Statistics.

Different Methodologies for Patient Stratification Using Survival Data

Paulo J. G. Lisboa, Ana S. Fernandes, Davide Bacciu, 2009, CIBB.

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

Paulo J. G. Lisboa, Ana S. Fernandes, José Manuel Fonseca, 2009, Int. J. Knowl. Eng. Soft Data Paradigms.

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

Paulo J. G. Lisboa, Elia Biganzoli, Corneliu T. C. Arsene, 2009, IEEE Transactions on Neural Networks.

Stratification Methodologies for Neural Networks Models of Survival

Paulo J. G. Lisboa, Ana S. Fernandes, José Manuel Fonseca, 2009, IWANN.

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

Paulo J. G. Lisboa, Ana S. Fernandes, José Manuel Fonseca, 2008, 2008 Seventh International Conference on Machine Learning and Applications.

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

Paulo J. G. Lisboa, José David Martín-Guerrero, Terence A. Etchells, 2008, Artif. Intell. Medicine.

Assessing flexible models and rule extraction from censored survival data

Paulo J. G. Lisboa, Elia Biganzoli, M. S. Hane Aung, 2007, 2007 International Joint Conference on Neural Networks.

A Prototype Integrated Decision Support System for Breast Cancer Oncology

Paulo J. G. Lisboa, Terence A. Etchells, Ian H. Jarman, 2007, IWANN.

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

Paulo J. G. Lisboa, Terence A. Etchells, P. Lisboa, 2006, IEEE Transactions on Neural Networks.

Minimal MLPs do not model the XOR logic

Paulo J. G. Lisboa, Terence A. Etchells, Dave C. Pountney, 2002, Neurocomputing.

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

Paulo J. G. Lisboa, Marco Vignetti, Elia Biganzoli, 2009, Computational Intelligence and Bioengineering.

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

Paulo J. G. Lisboa, Ana S. Fernandes, Terence A. Etchells, 2008, KES.

A principled approach to network-based classification and data representation

Paulo J. G. Lisboa, José David Martín-Guerrero, Terence A. Etchells, 2013, Neurocomputing.

Finding reproducible cluster partitions for the k-means algorithm

Paulo J. G. Lisboa, Terence A. Etchells, Ian H. Jarman, 2013, BMC Bioinformatics.

Inference of number of prototypes with a framework approach to K-means clustering

Paulo J. G. Lisboa, Terence A. Etchells, Ian H. Jarman, 2013 .

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

T. Bachelot, D. Pérol, V. Bourdès, 2007, 2007 International Joint Conference on Neural Networks.