Elia Biganzoli

Publication Activity (10 Years)

Years Active: 2002-2018
Publications (10 Years): 1

Top Topics

Experimental Conditions

Piecewise Linear

Measurement Error

Top Venues

Publications

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. (7) (2018)
Marco Fornili, Federico Ambrogi, Patrizia Boracchi, Elia Biganzoli
Piecewise Exponential Artificial Neural Networks (PEANN) for Modeling Hazard Function with Right Censored Data. CIBB (2013)
Niccoló Bassani, Federico Ambrogi, Elia Biganzoli
Assessing Agreement between microRNA Microarray Platforms via Linear Measurement Error Models. CIBB (2012)
Corneliu T. C. Arsene, Paulo J. G. Lisboa, Elia Biganzoli
Model Selection with PLANN-CR-ARD. IWANN (2) (2011)
Daniele Soria, Jonathan M. Garibaldi, Federico Ambrogi, Elia Biganzoli, Ian O. Ellis
A 'non-parametric' version of the naive Bayes classifier. Knowl. Based Syst. 24 (6) (2011)
Niccoló Bassani, Federico Ambrogi, Cristina Battaglia, Elia Biganzoli
Reliability of miRNA Microarray Platforms: An Approach Based on Random Effects Linear Models. CIBB (2011)
Paulo J. G. Lisboa, Ana Sofia Fernandes, José Manuel Fonseca, Chris Bajdik, Elia Biganzoli
Assessment of benefit vs. risk of drug therapy: The potential for outcome analysis with flexible models. IJCNN (2010)
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
A methodology to identify consensus classes from clustering algorithms applied to immunohistochemical data from breast cancer patients. Comput. Biol. Medicine 40 (3) (2010)
Niccoló Bassani, Federico Ambrogi, Danila Coradini, Patrizia Boracchi, Elia Biganzoli
Complementary use of cluster analysis and biplots to discover and validate patterns of gene expression in microarray data. IJCNN (2010)
Ilaria Ardoino, Federico Ambrogi, Chris Bajdik, Paulo J. G. Lisboa, Elia Biganzoli, Patrizia Boracchi
Flexible parametric modelling of the hazard function in breast cancer studies. IJCNN (2010)
Paulo J. G. Lisboa, Alfredo Vellido, Roberto Tagliaferri, Francesco Napolitano, Michele Ceccarelli, José David Martín-Guerrero, Elia Biganzoli
Data Mining in Cancer Research [Application Notes]. IEEE Comput. Intell. Mag. 5 (1) (2010)
Niccoló Bassani, Federico Ambrogi, Danila Coradini, Elia Biganzoli
Use of Biplots and Partial Least Squares Regression in Microarray Data Analysis for Assessing Association between Genes Involved in Different Biological Pathways. CIBB (2010)
Nicola Lama, Patrizia Boracchi, Elia Biganzoli
Exploration of distributional models for a novel intensity-dependent normalization procedure in censored gene expression data. Comput. Stat. Data Anal. 53 (5) (2009)
Federico Ambrogi, Elia Biganzoli, Patrizia Boracchi
Estimating crude cumulative incidences through multinomial logit regression on discrete cause-specific hazards. Comput. Stat. Data Anal. 53 (7) (2009)
Elia Biganzoli, Federico Ambrogi, Patrizia Boracchi
Partial logistic artificial neural networks (PLANN) for flexible modeling of censored survival data. IJCNN (2009)
Federico M. Stefanini, Danila Coradini, Elia Biganzoli
Conditional independence relations among biological markers may improve clinical decision as in the case of triple negative breast cancers. BMC Bioinform. 10 (S-12) (2009)
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) (2009)
Ana S. Fernandes, José Manuel Fonseca, Ian H. Jarman, Terence A. Etchells, Paulo J. G. Lisboa, Elia Biganzoli, Chris Bajdik
Evaluation of missing data imputation in longitudinal cohort studies in breast cancer survival. Int. J. Knowl. Eng. Soft Data Paradigms 1 (3) (2009)
Ana S. Fernandes, Ian H. Jarman, Terence A. Etchells, José Manuel Fonseca, Elia Biganzoli, Chris Bajdik, Paulo J. G. Lisboa
Stratification Methodologies for Neural Networks Models of Survival. IWANN (1) (2009)
Niccoló Bassani, Federico Ambrogi, Roberta Bosotti, Matteo Bertolotti, Antonella Isacchi, Elia Biganzoli
Non-parametric MANOVA Methods for Detecting Differentially Expressed Genes in Real-Time RT-PCR Experiments. CIBB (2009)
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
Partial Logistic Artificial Neural Network for Competing Risks Regularized With Automatic Relevance Determination. IEEE Trans. Neural Networks 20 (9) (2009)
Ana S. Fernandes, Ian H. Jarman, Terence A. Etchells, José Manuel Fonseca, Elia Biganzoli, Chris Bajdik, Paulo J. G. Lisboa
Missing Data Imputation in Longitudinal Cohort Studies: Application of PLANN-ARD in Breast Cancer Survival. ICMLA (2008)
Davide Bacciu, Elia Biganzoli, Paulo J. G. Lisboa, Antonina Starita
Are Model-Based Clustering and Neural Clustering Consistent? A Case Study from Bioinformatics. KES (2) (2008)
Alfredo Vellido, Elia Biganzoli, Paulo J. G. Lisboa
Machine learning in cancer research: implications for personalised medicine. ESANN (2008)
Federico Ambrogi, Elena Raimondi, Daniele Soria, Patrizia Boracchi, Elia Biganzoli
Cancer Profiles by Affinity Propagation. ICMLA (2008)
Daniele Soria, Jonathan M. Garibaldi, Elia Biganzoli, Ian O. Ellis
A Comparison of Three Different Methods for Classification of Breast Cancer Data. ICMLA (2008)
Paulo J. G. Lisboa, Elia Biganzoli, Azzam F. Taktak, Terence A. Etchells, Ian H. Jarman, M. S. Hane Aung, Federico Ambrogi
Assessing flexible models and rule extraction from censored survival data. IJCNN (2007)
Federico Ambrogi, Nicola Lama, Patrizia Boracchi, Elia Biganzoli
Selection of artificial neural network models for survival analysis with Genetic Algorithms. Comput. Stat. Data Anal. 52 (1) (2007)
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
Double-blind evaluation and benchmarking of survival models in a multi-centre study. Comput. Biol. Medicine 37 (8) (2007)
Elia Biganzoli, Patrizia Boracchi, Federico Ambrogi, Ettore Marubini
Artificial neural network for the joint modelling of discrete cause-specific hazards. Artif. Intell. Medicine 37 (2) (2006)
Federico Ambrogi, Elia Biganzoli, Patrizia Boracchi
Multiple correspondence analysis in S-PLUS. Comput. Methods Programs Biomed. 79 (2) (2005)
Patrizia Boracchi, Elia Biganzoli, Ettore Marubini
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) (2003)
Elia Biganzoli, Patrizia Boracchi, Ettore Marubini
A general framework for neural network models on censored survival data. Neural Networks 15 (1) (2002)