 | 2011 |
| 17 |  | 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) |
| 2010 |
| 16 |  | Niccoló Bassani,
Federico Ambrogi,
Danila Coradini,
Elia Biganzoli:
Use of Biplots and Partial Least Squares Regression in Microarray Data Analysis for Assessing Association between Genes Involved in Different Biological Pathways.
CIBB 2010: 123-134 |
| 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 |  | Niccoló Bassani,
Federico Ambrogi,
Roberta Bosotti,
Matteo Bertolotti,
Antonella Isacchi,
Elia Biganzoli:
Non-parametric MANOVA Methods for Detecting Differentially Expressed Genes in Real-Time RT-PCR Experiments.
CIBB 2009: 56-69 |
| 11 |  | Elia Biganzoli,
Federico Ambrogi,
Patrizia Boracchi:
Partial logistic artificial neural networks (PLANN) for flexible modeling of censored survival data.
IJCNN 2009: 340-346 |
| 10 |  | Paulo J. G. Lisboa,
Ian H. Jarman,
Terence A. Etchells,
Federico Ambrogi,
Ilaria Ardoino,
Marco Vignetti,
Elia Biganzoli:
Short-term time-to-event model of response to treatment following the GIMEMA protocol for Acute Myeloid Leukaemia.
Computational Intelligence and Bioengineering 2009: 81-93 |
| 9 |  | 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) |
| 8 |  | 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) |
| 7 |  | 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 |
| 6 |  | Federico Ambrogi,
Elena Raimondi,
Daniele Soria,
Patrizia Boracchi,
Elia Biganzoli:
Cancer Profiles by Affinity Propagation.
ICMLA 2008: 650-655 |
| 5 |  | 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) |
| 2007 |
| 4 |  | 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 |
| 3 |  | 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 |
| 2 |  | 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 |
| 1 |  | Federico Ambrogi,
Elia Biganzoli,
Patrizia Boracchi:
Multiple correspondence analysis in S-PLUS.
Computer Methods and Programs in Biomedicine 79(2): 161-167 (2005) |