 | 2010 |
| 15 |  | Ilaria Ardoino,
Federico Ambrogi,
Chris Bajdik,
Paulo J. G. Lisboa,
Elia Biganzoli,
Patrizia Boracchi:
Flexible parametric modelling of the hazard function in breast cancer studies.
IJCNN 2010: 1-5 |
| 14 |  | Niccoló Bassani,
Federico Ambrogi,
Danila Coradini,
Patrizia Boracchi,
Elia Biganzoli:
Complementary use of cluster analysis and biplots to discover and validate patterns of gene expression in microarray data.
IJCNN 2010: 1-7 |
| 13 |  | 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 |
| 12 |  | Elia Biganzoli,
Federico Ambrogi,
Patrizia Boracchi:
Partial logistic artificial neural networks (PLANN) for flexible modeling of censored survival data.
IJCNN 2009: 340-346 |
| 11 |  | Nicola Lama,
Patrizia Boracchi,
Elia Biganzoli:
Exploration of distributional models for a novel intensity-dependent normalization procedure in censored gene expression data.
Computational Statistics & Data Analysis 53(5): 1906-1922 (2009) |
| 10 |  | Federico Ambrogi,
Elia Biganzoli,
Patrizia Boracchi:
Estimating crude cumulative incidences through multinomial logit regression on discrete cause-specific hazards.
Computational Statistics & Data Analysis 53(7): 2767-2779 (2009) |
| 9 |  | 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:
Partial Logistic Artificial Neural Network for Competing Risks Regularized With Automatic Relevance Determination.
IEEE Transactions on Neural Networks 20(9): 1403-1416 (2009) |
| 8 |  | Daniele Soria,
Jonathan M. Garibaldi,
Federico Ambrogi,
Patrizia Boracchi,
Elena Raimondi,
Elia Biganzoli:
Cancer profiles by affinity propagation.
IJKESDP 1(3): 195-215 (2009) |
| 2008 |
| 7 |  | Federico Ambrogi,
Elena Raimondi,
Daniele Soria,
Patrizia Boracchi,
Elia Biganzoli:
Cancer Profiles by Affinity Propagation.
ICMLA 2008: 650-655 |
| 2007 |
| 6 |  | Azzam F. Taktak,
L. Antolini,
Min S. Hane Aung,
Patrizia Boracchi,
I. Campbell,
Bertil E. Damato,
Emmanuel C. Ifeachor,
Nicola Lama,
Paulo J. G. Lisboa,
Christian Setzkorn,
V. Stalbovskaya,
Elia Biganzoli:
Double-blind evaluation and benchmarking of survival models in a multi-centre study.
Comp. in Bio. and Med. 37(8): 1108-1120 (2007) |
| 5 |  | Federico Ambrogi,
Nicola Lama,
Patrizia Boracchi,
Elia Biganzoli:
Selection of artificial neural network models for survival analysis with Genetic Algorithms.
Computational Statistics & Data Analysis 52(1): 30-42 (2007) |
| 2006 |
| 4 |  | Elia Biganzoli,
Patrizia Boracchi,
Federico Ambrogi,
Ettore Marubini:
Artificial neural network for the joint modelling of discrete cause-specific hazards.
Artificial Intelligence in Medicine 37(2): 119-130 (2006) |
| 2005 |
| 3 |  | Federico Ambrogi,
Elia Biganzoli,
Patrizia Boracchi:
Multiple correspondence analysis in S-PLUS.
Computer Methods and Programs in Biomedicine 79(2): 161-167 (2005) |
| 2003 |
| 2 |  | Patrizia Boracchi,
Elia Biganzoli,
Ettore Marubini:
Joint modelling of cause-specific hazard functions with cubic splines: an application to a large series of breast cancer patients.
Computational Statistics & Data Analysis 42(1-2): 243-262 (2003) |
| 2002 |
| 1 |  | Elia Biganzoli,
Patrizia Boracchi,
Ettore Marubini:
A general framework for neural network models on censored survival data.
Neural Networks 15(1): 209-218 (2002) |