Patrizia Boracchi

19 papers B 3C 1Journal 12Unranked 3

Year	Rank	Type	Title / Venue / Authors
2023	—	`conf`	Can Smoothing Methods Recognize the Patterns of the Hazard Function in Complex Clinical Scenarios? - A Simulation Study Using Discrete-Time Survival Models. CIBB Giuseppe Marano, Giacomo Biganzoli, Ester Luconi, Elia M. Biganzoli, Patrizia Boracchi
2018	J	`jnl`	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. Marco Fornili, Patrizia Boracchi, Federico Ambrogi, Elia Biganzoli
2014	—	`conf`	Estimation of a Piecewise Exponential Model by Bayesian P-splines Techniques for Prognostic Assessment and Prediction. CIBB Giuseppe Marano, Patrizia Boracchi, Elia M. Biganzoli
2013	—	`conf`	Piecewise Exponential Artificial Neural Networks (PEANN) for Modeling Hazard Function with Right Censored Data. CIBB Marco Fornili, Federico Ambrogi, Patrizia Boracchi, Elia Biganzoli
2010	J	`jnl`	A methodology to identify consensus classes from clustering algorithms applied to immunohistochemical data from breast cancer patients. Comput. Biol. Medicine 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
2010	B	`conf`	Complementary use of cluster analysis and biplots to discover and validate patterns of gene expression in microarray data. IJCNN Niccoló Bassani, Federico Ambrogi, Danila Coradini, Patrizia Boracchi, Elia Biganzoli
2010	B	`conf`	Flexible parametric modelling of the hazard function in breast cancer studies. IJCNN Ilaria Ardoino, Federico Ambrogi, Chris Bajdik, Paulo J. G. Lisboa, Elia Biganzoli, Patrizia Boracchi
2009	J	`jnl`	Cancer profiles by affinity propagation. Int. J. Knowl. Eng. Soft Data Paradigms Daniele Soria, Jonathan M. Garibaldi, Federico Ambrogi, Patrizia Boracchi, Elena Raimondi, Elia Biganzoli
2009	J	`jnl`	Estimating crude cumulative incidences through multinomial logit regression on discrete cause-specific hazards. Comput. Stat. Data Anal. Federico Ambrogi, Elia Biganzoli, Patrizia Boracchi
2009	J	`jnl`	Exploration of distributional models for a novel intensity-dependent normalization procedure in censored gene expression data. Comput. Stat. Data Anal. Nicola Lama, Patrizia Boracchi, Elia Biganzoli
2009	J	`jnl`	Partial Logistic Artificial Neural Network for Competing Risks Regularized With Automatic Relevance Determination. IEEE Trans. Neural Networks 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
2009	B	`conf`	Partial logistic artificial neural networks (PLANN) for flexible modeling of censored survival data. IJCNN Elia Biganzoli, Federico Ambrogi, Patrizia Boracchi
2008	C	`conf`	Cancer Profiles by Affinity Propagation. ICMLA Federico Ambrogi, Elena Raimondi, Daniele Soria, Patrizia Boracchi, Elia Biganzoli
2007	J	`jnl`	Double-blind evaluation and benchmarking of survival models in a multi-centre study. Comput. Biol. Medicine 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
2007	J	`jnl`	Selection of artificial neural network models for survival analysis with Genetic Algorithms. Comput. Stat. Data Anal. Federico Ambrogi, Nicola Lama, Patrizia Boracchi, Elia Biganzoli
2006	J	`jnl`	Artificial neural network for the joint modelling of discrete cause-specific hazards. Artif. Intell. Medicine Elia Biganzoli, Patrizia Boracchi, Federico Ambrogi, Ettore Marubini
2005	J	`jnl`	Multiple correspondence analysis in S-PLUS. Comput. Methods Programs Biomed. Federico Ambrogi, Elia Biganzoli, Patrizia Boracchi
2003	J	`jnl`	Joint modelling of cause-specific hazard functions with cubic splines: an application to a large series of breast cancer patients. Comput. Stat. Data Anal. Patrizia Boracchi, Elia Biganzoli, Ettore Marubini
2002	J	`jnl`	A general framework for neural network models on censored survival data. Neural Networks Elia Biganzoli, Patrizia Boracchi, Ettore Marubini