A general framework for neural network models on censored survival data. - Elia Biganzoli; Patrizia Boracchi; Ettore Marubini (Neural Networks, 2002)

Joint modelling of cause-specific hazard functions with cubic splines: an application to a large series of breast cancer patients. - Patrizia Boracchi; Elia Biganzoli; Ettore Marubini (Comput. Stat. Data Anal., 2003)

Multiple correspondence analysis in S-PLUS. - Federico Ambrogi; Elia Biganzoli; Patrizia Boracchi (Comput. Methods Programs Biomed., 2005)

Artificial neural network for the joint modelling of discrete cause-specific hazards. - Elia Biganzoli; Patrizia Boracchi; Federico Ambrogi; Ettore Marubini (Artif. Intell. Medicine, 2006)

Double-blind evaluation and benchmarking of survival models in a multi-centre study. - Azzam F. Taktak; Laura Antolini; Min S. Hane Aung; Patrizia Boracchi; Ian Campbell; Bertil E. Damato; Emmanuel C. Ifeachor; Nicola Lama; Paulo J. G. Lisboa; Christian Setzkorn; Viktoriya Stalbovskaya; Elia Biganzoli (Comput. Biol. Medicine, 2007)

Selection of artificial neural network models for survival analysis with Genetic Algorithms. - Federico Ambrogi; Nicola Lama; Patrizia Boracchi; Elia Biganzoli (Comput. Stat. Data Anal., 2007)

Cancer Profiles by Affinity Propagation. - Federico Ambrogi; Elena Raimondi; Daniele Soria; Patrizia Boracchi; Elia Biganzoli (ICMLA, 2008)

Partial logistic artificial neural networks (PLANN) for flexible modeling of censored survival data. - Elia Biganzoli; Federico Ambrogi; Patrizia Boracchi (IJCNN, 2009)

Estimating crude cumulative incidences through multinomial logit regression on discrete cause-specific hazards. - Federico Ambrogi; Elia Biganzoli; Patrizia Boracchi (Comput. Stat. Data Anal., 2009)

Exploration of distributional models for a novel intensity-dependent normalization procedure in censored gene expression data. - Nicola Lama; Patrizia Boracchi; Elia Biganzoli (Comput. Stat. Data Anal., 2009)

Cancer profiles by affinity propagation. - Daniele Soria; Jonathan M. Garibaldi; Federico Ambrogi; Patrizia Boracchi; Elena Raimondi; Elia Biganzoli (Int. J. Knowl. Eng. Soft Data Paradigms, 2009)

Partial Logistic Artificial Neural Network for Competing Risks Regularized With Automatic Relevance Determination. - 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 (IEEE Trans. Neural Networks, 2009)

Flexible parametric modelling of the hazard function in breast cancer studies. - Ilaria Ardoino; Federico Ambrogi; Chris Bajdik; Paulo J. G. Lisboa; Elia Biganzoli; Patrizia Boracchi (IJCNN, 2010)

Complementary use of cluster analysis and biplots to discover and validate patterns of gene expression in microarray data. - Niccoló Bassani; Federico Ambrogi; Danila Coradini; Patrizia Boracchi; Elia Biganzoli (IJCNN, 2010)

A methodology to identify consensus classes from clustering algorithms applied to immunohistochemical data from breast cancer patients. - Daniele Soria; Jonathan M. Garibaldi; Federico Ambrogi; Andrew R. Green; Des Powe; Emad A. Rakha; R. Douglas Macmillan; Roger W. Blamey; Graham R. Ball; Paulo J. G. Lisboa; Terence A. Etchells; Patrizia Boracchi; et al. (Comput. Biol. Medicine, 2010)

Piecewise Exponential Artificial Neural Networks (PEANN) for Modeling Hazard Function with Right Censored Data. - Marco Fornili; Federico Ambrogi; Patrizia Boracchi; Elia Biganzoli (CIBB, 2013)

Estimation of a Piecewise Exponential Model by Bayesian P-splines Techniques for Prognostic Assessment and Prediction. - Giuseppe Marano; Patrizia Boracchi; Elia M. Biganzoli (CIBB, 2014)

Modeling the covariates effects on the hazard function by piecewise exponential artificial neural networks: an application to a controlled clinical trial on renal carcinoma. - Marco Fornili; Patrizia Boracchi; Federico Ambrogi; Elia Biganzoli (BMC Bioinform., 2018)

Can Smoothing Methods Recognize the Patterns of the Hazard Function in Complex Clinical Scenarios? - A Simulation Study Using Discrete-Time Survival Models. - Giuseppe Marano; Giacomo Biganzoli; Ester Luconi; Elia M. Biganzoli; Patrizia Boracchi (CIBB, 2023)