| 2008 |
|---|
| 8 | EE | Alfredo Vellido,
Elia Biganzoli,
Paulo J. G. Lisboa:
Machine learning in cancer research: implications for personalised medicine.
ESANN 2008: 55-64 |
| 7 | EE | Davide Bacciu,
Elia Biganzoli,
Paulo J. G. Lisboa,
Antonina Starita:
Are Model-Based Clustering and Neural Clustering Consistent? A Case Study from Bioinformatics.
KES (2) 2008: 181-188 |
| 2007 |
|---|
| 6 | EE | Paulo J. G. Lisboa,
Elia Biganzoli,
Azzam F. Taktak,
Terence A. Etchells,
Ian H. Jarman,
M. S. Hane Aung,
Federico Ambrogi:
Assessing flexible models and rule extraction from censored survival data.
IJCNN 2007: 1663-1668 |
| 5 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | Elia Biganzoli,
Patrizia Boracchi,
Ettore Marubini:
A general framework for neural network models on censored survival data.
Neural Networks 15(1): 209-218 (2002) |
