Patrizia Boracchi

According to our database, Patrizia Boracchi authored at least 18 papers between 2002 and 2018.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2018

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

2014

Estimation of a Piecewise Exponential Model by Bayesian P-splines Techniques for Prognostic Assessment and Prediction.

Giuseppe Marano, Patrizia Boracchi, Elia M. Biganzoli

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2014

2013

Piecewise Exponential Artificial Neural Networks (PEANN) for Modeling Hazard Function with Right Censored Data.

Marco Fornili, Federico Ambrogi, Patrizia Boracchi, Elia Biganzoli

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2013

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, Elia Biganzoli, Ian O. Ellis

Comput. Biol. Medicine, 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

Proceedings of the International Joint Conference on Neural Networks, 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

Proceedings of the International Joint Conference on Neural Networks, 2010

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

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

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

Estimating crude cumulative incidences through multinomial logit regression on discrete cause-specific hazards.

Federico Ambrogi, Elia Biganzoli, Patrizia Boracchi

Comput. Stat. Data Anal., 2009

Partial logistic artificial neural networks (PLANN) for flexible modeling of censored survival data.

Elia Biganzoli, Federico Ambrogi, Patrizia Boracchi

Proceedings of the International Joint Conference on Neural Networks, 2009

2008

Cancer Profiles by Affinity Propagation.

Federico Ambrogi, Elena Raimondi, Daniele Soria, Patrizia Boracchi, Elia Biganzoli

Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

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

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

2006

Artificial neural network for the joint modelling of discrete cause-specific hazards.

Elia Biganzoli, Patrizia Boracchi, Federico Ambrogi, Ettore Marubini

Artif. Intell. Medicine, 2006

2005

Multiple correspondence analysis in S-PLUS.

Federico Ambrogi, Elia Biganzoli, Patrizia Boracchi

Comput. Methods Programs Biomed., 2005

2003

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

2002

A general framework for neural network models on censored survival data.

Elia Biganzoli, Patrizia Boracchi, Ettore Marubini

Neural Networks, 2002