 | 2011 |
| 8 |  | Daniele Soria,
Jonathan M. Garibaldi,
Federico Ambrogi,
Elia Biganzoli,
Ian O. Ellis:
A 'non-parametric' version of the naive Bayes classifier.
Knowl.-Based Syst. 24(6): 775-784 (2011) |
| 7 |  | 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): 1459-1469 (2011) |
| 2010 |
| 6 |  | Daniele Soria,
Jonathan M. Garibaldi,
Federico Ambrogi,
Andrew R. Green,
Des Powe,
Emad 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.
Comp. in Bio. and Med. 40(3): 318-330 (2010) |
| 2009 |
| 5 |  | Khairul A. Rasmani,
Jonathan M. Garibaldi,
Qiang Shen,
Ian O. Ellis:
Linguistic rulesets extracted from a quantifier-based fuzzy classification system.
FUZZ-IEEE 2009: 1204-1209 |
| 2008 |
| 4 |  | Daniele Soria,
Jonathan M. Garibaldi,
Elia Biganzoli,
Ian O. Ellis:
A Comparison of Three Different Methods for Classification of Breast Cancer Data.
ICMLA 2008: 619-624 |
| 3 |  | Shang-Ming Zhou,
Robert Ivor John,
Xiao-Ying Wang,
Jonathan M. Garibaldi,
Ian O. Ellis:
Compact fuzzy rules induction and feature extraction using SVM with particle swarms for breast cancer treatments.
IEEE Congress on Evolutionary Computation 2008: 1469-1475 |
| 2 |  | Paulo J. G. Lisboa,
Ian O. Ellis,
Andrew R. Green,
Federico Ambrogi,
M. Benjamin Dias:
Cluster-based visualisation with scatter matrices.
Pattern Recognition Letters 29(13): 1814-1823 (2008) |
| 2002 |
| 1 |  | Graham R. Ball,
Shahid Mian,
F. Holding,
R. O. Allibone,
J. Lowe,
S. Ali,
G. Li,
S. McCardle,
Ian O. Ellis,
Colin Creaser,
Robert C. Rees:
An integrated approach utilizing artificial neural networks and SELDI mass spectrometry for the classification of human tumours and rapid identification of potential biomarkers.
Bioinformatics 18(3): 395-404 (2002) |