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Patrizia Boracchi
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2010 – 2019
- 2018
- [j12]Marco Fornili, Patrizia Boracchi, Federico Ambrogi, Elia Biganzoli:
Modeling the covariates effects on the hazard function by piecewise exponential artificial neural networks: an application to a controlled clinical trial on renal carcinoma. BMC Bioinform. 19-S(7): 23-29 (2018) - 2014
- [c6]Giuseppe Marano, Patrizia Boracchi, Elia M. Biganzoli:
Estimation of a Piecewise Exponential Model by Bayesian P-splines Techniques for Prognostic Assessment and Prediction. CIBB 2014: 183-198 - 2013
- [c5]Marco Fornili, Federico Ambrogi, Patrizia Boracchi, Elia Biganzoli:
Piecewise Exponential Artificial Neural Networks (PEANN) for Modeling Hazard Function with Right Censored Data. CIBB 2013: 125-136 - 2010
- [j11]Daniele Soria, Jonathan M. Garibaldi
, Federico Ambrogi
A methodology to identify consensus classes from clustering algorithms applied to immunohistochemical data from breast cancer patients. Comput. Biol. Medicine 40(3): 318-330 (2010) - [c4]Ilaria Ardoino
Flexible parametric modelling of the hazard function in breast cancer studies. IJCNN 2010: 1-5 - [c3]Niccoló Bassani, Federico Ambrogi
Complementary use of cluster analysis and biplots to discover and validate patterns of gene expression in microarray data. IJCNN 2010: 1-7
2000 – 2009
- 2009
- [j10]Nicola Lama, Patrizia Boracchi
Exploration of distributional models for a novel intensity-dependent normalization procedure in censored gene expression data. Comput. Stat. Data Anal. 53(5): 1906-1922 (2009) - [j9]Federico Ambrogi
Estimating crude cumulative incidences through multinomial logit regression on discrete cause-specific hazards. Comput. Stat. Data Anal. 53(7): 2767-2779 (2009) - [j8]Daniele Soria, Jonathan M. Garibaldi, Federico Ambrogi, Patrizia Boracchi, Elena Raimondi, Elia Biganzoli:
Cancer profiles by affinity propagation. Int. J. Knowl. Eng. Soft Data Paradigms 1(3): 195-215 (2009) - [j7]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
Partial Logistic Artificial Neural Network for Competing Risks Regularized With Automatic Relevance Determination. IEEE Trans. Neural Networks 20(9): 1403-1416 (2009) - [c2]Elia Biganzoli
Partial logistic artificial neural networks (PLANN) for flexible modeling of censored survival data. IJCNN 2009: 340-346 - 2008
- [c1]Federico Ambrogi
Cancer Profiles by Affinity Propagation. ICMLA 2008: 650-655 - 2007
- [j6]Azzam F. Taktak, Laura Antolini, Min S. Hane Aung, Patrizia Boracchi
Double-blind evaluation and benchmarking of survival models in a multi-centre study. Comput. Biol. Medicine 37(8): 1108-1120 (2007) - [j5]Federico Ambrogi
Selection of artificial neural network models for survival analysis with Genetic Algorithms. Comput. Stat. Data Anal. 52(1): 30-42 (2007) - 2006
- [j4]Elia Biganzoli
Artificial neural network for the joint modelling of discrete cause-specific hazards. Artif. Intell. Medicine 37(2): 119-130 (2006) - 2005
- [j3]Federico Ambrogi
Multiple correspondence analysis in S-PLUS. Comput. Methods Programs Biomed. 79(2): 161-167 (2005) - 2003
- [j2]Patrizia Boracchi
Joint modelling of cause-specific hazard functions with cubic splines: an application to a large series of breast cancer patients. Comput. Stat. Data Anal. 42(1-2): 243-262 (2003) - 2002
- [j1]Elia Biganzoli
A general framework for neural network models on censored survival data. Neural Networks 15(1): 209-218 (2002)
Coauthor Index
aka: Elia M. Biganzoli
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