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Terence A Etchells

Showing results (1-10 of 8) with videos related to

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IEEE Transactions on Neural Networks|March 29, 2006
Orthogonal search-based rule extraction (OSRE) for trained neural networks: a practical and efficient approachTerence A Etchells, Paulo J G Lisboa
Artificial Intelligence in Medicine|February 5, 2008
An integrated framework for risk profiling of breast cancer patients following surgeryIan H Jarman, Terence A Etchells, Jose D Martín, et al.
BMC Bioinformatics|February 2, 2013
Finding reproducible cluster partitions for the k-means algorithmPaulo J G Lisboa, Terence A Etchells, Ian H Jarman, et al.
BMC Bioinformatics|May 19, 2009
How to find simple and accurate rules for viral protease cleavage specificitiesThorsteinn Rögnvaldsson, Terence A Etchells, Liwen You, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 16, 2007
Development of a rule based prognostic tool for HER 2 positive breast cancer patientsPaulo J G Lisboa, Terence A Etchells, Ian H Jarman, et al.
Neural Networks : the Official Journal of the International Neural Network Society|February 29, 2008
Time-to-event analysis with artificial neural networks: an integrated analytical and rule-based study for breast cancerPaulo J G Lisboa, Terence A Etchells, Ian H Jarman, et al.
IEEE Transactions on Neural Networks|July 25, 2009
Partial logistic artificial neural network for competing risks regularized with automatic relevance determinationPaulo J G Lisboa, Terence A Etchells, Ian H Jarman, et al.
Computers in Biology and Medicine|January 29, 2010
A methodology to identify consensus classes from clustering algorithms applied to immunohistochemical data from breast cancer patientsDaniele Soria, Jonathan M Garibaldi, Federico Ambrogi, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Neural Networks|March 29, 2006
Orthogonal search-based rule extraction (OSRE) for trained neural networks: a practical and efficient approachTerence A Etchells, Paulo J G Lisboa
Artificial Intelligence in Medicine|February 5, 2008
An integrated framework for risk profiling of breast cancer patients following surgeryIan H Jarman, Terence A Etchells, Jose D Martín, et al.
BMC Bioinformatics|February 2, 2013
Finding reproducible cluster partitions for the k-means algorithmPaulo J G Lisboa, Terence A Etchells, Ian H Jarman, et al.
BMC Bioinformatics|May 19, 2009
How to find simple and accurate rules for viral protease cleavage specificitiesThorsteinn Rögnvaldsson, Terence A Etchells, Liwen You, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 16, 2007
Development of a rule based prognostic tool for HER 2 positive breast cancer patientsPaulo J G Lisboa, Terence A Etchells, Ian H Jarman, et al.
Neural Networks : the Official Journal of the International Neural Network Society|February 29, 2008
Time-to-event analysis with artificial neural networks: an integrated analytical and rule-based study for breast cancerPaulo J G Lisboa, Terence A Etchells, Ian H Jarman, et al.
IEEE Transactions on Neural Networks|July 25, 2009
Partial logistic artificial neural network for competing risks regularized with automatic relevance determinationPaulo J G Lisboa, Terence A Etchells, Ian H Jarman, et al.
Computers in Biology and Medicine|January 29, 2010
A methodology to identify consensus classes from clustering algorithms applied to immunohistochemical data from breast cancer patientsDaniele Soria, Jonathan M Garibaldi, Federico Ambrogi, et al.
Pageof 1