Elia Biganzoli

	2009
13		Ana S. Fernandes, Ian H. Jarman, Terence A. Etchells, José M. Fonseca, Elia Biganzoli, Chris Bajdik, Paulo J. G. Lisboa: Stratification Methodologies for Neural Networks Models of Survival. IWANN (1) 2009: 989-996
12		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
	2008
11		Alfredo Vellido, Elia Biganzoli, Paulo J. G. Lisboa: Machine learning in cancer research: implications for personalised medicine. ESANN 2008: 55-64
10		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
9		Ana S. Fernandes, Ian H. Jarman, Terence A. Etchells, José M. Fonseca, Elia Biganzoli, Chris Bajdik, Paulo J. G. Lisboa: Missing Data Imputation in Longitudinal Cohort Studies: Application of PLANN-ARD in Breast Cancer Survival. ICMLA 2008: 644-649
8		Federico Ambrogi, Elena Raimondi, Daniele Soria, Patrizia Boracchi, Elia Biganzoli: Cancer Profiles by Affinity Propagation. ICMLA 2008: 650-655
7		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		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		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)

Coauthor Index

1	Federico Ambrogi	[3] [4] [5] [6] [8] [12]
2	Ilaria Ardoino	[12]
3	M. S. Hane Aung	[6]
4	Davide Bacciu	[7]
5	Chris Bajdik	[9] [13]
6	Patrizia Boracchi	[1] [2] [3] [4] [5] [8]
7	Ian O. Ellis	[10]
8	Terence A. Etchells	[6] [9] [12] [13]
9	Ana S. Fernandes	[9] [13]
10	José M. Fonseca	[9] [13]
11	Jonathan M. Garibaldi	[10]
12	Ian H. Jarman	[6] [9] [12] [13]
13	Nicola Lama	[5]
14	Paulo J. G. Lisboa	[6] [7] [9] [11] [12] [13]
15	Ettore Marubini	[1] [2] [4]
16	Elena Raimondi	[8]
17	Daniele Soria	[8] [10]
18	Antonina Starita	[7]
19	Azzam Fouad George Taktak (Azzam F. Taktak)	[6]
20	Alfredo Vellido	[11]
21	Marco Vignetti	[12]