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)

Assessing flexible models and rule extraction from censored survival data. - Paulo J. G. Lisboa; Elia Biganzoli; Azzam F. Taktak; Terence A. Etchells; Ian H. Jarman; M. S. Hane Aung; Federico Ambrogi (IJCNN, 2007)

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)

Machine learning in cancer research: implications for personalised medicine. - Alfredo Vellido; Elia Biganzoli; Paulo J. G. Lisboa (ESANN, 2008)

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

Missing Data Imputation in Longitudinal Cohort Studies: Application of PLANN-ARD in Breast Cancer Survival. - Ana S. Fernandes; Ian H. Jarman; Terence A. Etchells; José Manuel Fonseca; Elia Biganzoli; Chris Bajdik; Paulo J. G. Lisboa (ICMLA, 2008)

A Comparison of Three Different Methods for Classification of Breast Cancer Data. - Daniele Soria; Jonathan M. Garibaldi; Elia Biganzoli; Ian O. Ellis (ICMLA, 2008)

Are Model-Based Clustering and Neural Clustering Consistent? A Case Study from Bioinformatics. - Davide Bacciu; Elia Biganzoli; Paulo J. G. Lisboa; Antonina Starita (KES (2), 2008)

Non-parametric MANOVA Methods for Detecting Differentially Expressed Genes in Real-Time RT-PCR Experiments. - Niccoló Bassani; Federico Ambrogi; Roberta Bosotti; Matteo Bertolotti; Antonella Isacchi; Elia Biganzoli (CIBB, 2009)

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

Stratification Methodologies for Neural Networks Models of Survival. - Ana S. Fernandes; Ian H. Jarman; Terence A. Etchells; José Manuel Fonseca; Elia Biganzoli; Chris Bajdik; Paulo J. G. Lisboa (IWANN (1), 2009)

Conditional independence relations among biological markers may improve clinical decision as in the case of triple negative breast cancers. - Federico M. Stefanini; Danila Coradini; Elia Biganzoli (BMC Bioinform., 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)

Evaluation of missing data imputation in longitudinal cohort studies in breast cancer survival. - Ana S. Fernandes; José Manuel Fonseca; Ian H. Jarman; Terence A. Etchells; Paulo J. G. Lisboa; Elia Biganzoli; Chris Bajdik (Int. J. Knowl. Eng. Soft Data Paradigms, 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)

Short-term time-to-event model of response to treatment following the GIMEMA protocol for Acute Myeloid Leukaemia. - Paulo J. G. Lisboa; Ian H. Jarman; Terence A. Etchells; Federico Ambrogi; Ilaria Ardoino; Marco Vignetti; Elia Biganzoli (Computational Intelligence and Bioengineering, 2009)

Use of Biplots and Partial Least Squares Regression in Microarray Data Analysis for Assessing Association between Genes Involved in Different Biological Pathways. - Niccoló Bassani; Federico Ambrogi; Danila Coradini; Elia Biganzoli (CIBB, 2010)

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)

Assessment of benefit vs. risk of drug therapy: The potential for outcome analysis with flexible models. - Paulo J. G. Lisboa; Ana Sofia Fernandes; José Manuel Fonseca; Chris Bajdik; 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)

Data Mining in Cancer Research [Application Notes]. - Paulo J. G. Lisboa; Alfredo Vellido; Roberto Tagliaferri; Francesco Napolitano; Michele Ceccarelli; José David Martín-Guerrero; Elia Biganzoli (IEEE Comput. Intell. Mag., 2010)

Reliability of miRNA Microarray Platforms: An Approach Based on Random Effects Linear Models. - Niccoló Bassani; Federico Ambrogi; Cristina Battaglia; Elia Biganzoli (CIBB, 2011)

Model Selection with PLANN-CR-ARD. - Corneliu T. C. Arsene; Paulo J. G. Lisboa; Elia Biganzoli (IWANN (2), 2011)

A 'non-parametric' version of the naive Bayes classifier. - Daniele Soria; Jonathan M. Garibaldi; Federico Ambrogi; Elia Biganzoli; Ian O. Ellis (Knowl. Based Syst., 2011)

Assessing Agreement between microRNA Microarray Platforms via Linear Measurement Error Models. - Niccoló Bassani; Federico Ambrogi; Elia Biganzoli (CIBB, 2012)

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)