Elia Biganzoli

35 papers B 6C 3Journal 16Unranked 8

Year	Rank	Type	Title / Venue / Authors
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
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
2012	—	`conf`	Assessing Agreement between microRNA Microarray Platforms via Linear Measurement Error Models. CIBB Niccoló Bassani, Federico Ambrogi, Elia Biganzoli
2012	—	`ed.`	Computational Intelligence Methods for Bioinformatics and Biostatistics, 8th International Meeting, CIBB 2011, Gargnano del Garda, Italy, June 30 - July 2, 2011, Revised Selected Papers CIBB Elia Biganzoli, Alfredo Vellido, Federico Ambrogi, Roberto Tagliaferri
2011	J	`jnl`	A 'non-parametric' version of the naive Bayes classifier. Knowl. Based Syst. Daniele Soria, Jonathan M. Garibaldi, Federico Ambrogi, Elia Biganzoli, Ian O. Ellis
2011	—	`conf`	Model Selection with PLANN-CR-ARD. IWANN (2) Corneliu T. C. Arsene, Paulo J. G. Lisboa, Elia Biganzoli
2011	—	`conf`	Reliability of miRNA Microarray Platforms: An Approach Based on Random Effects Linear Models. CIBB Niccoló Bassani, Federico Ambrogi, Cristina Battaglia, 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`	Assessment of benefit vs. risk of drug therapy: The potential for outcome analysis with flexible models. IJCNN Paulo J. G. Lisboa, Ana Sofia Fernandes, José Manuel Fonseca, Chris Bajdik, Elia Biganzoli
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	J	`jnl`	Data Mining in Cancer Research [Application Notes]. IEEE Comput. Intell. Mag. Paulo J. G. Lisboa, Alfredo Vellido, Roberto Tagliaferri, Francesco Napolitano, Michele Ceccarelli, José David Martín-Guerrero, 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
2010	—	`conf`	Use of Biplots and Partial Least Squares Regression in Microarray Data Analysis for Assessing Association between Genes Involved in Different Biological Pathways. CIBB Niccoló Bassani, Federico Ambrogi, Danila Coradini, Elia Biganzoli
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`	Conditional independence relations among biological markers may improve clinical decision as in the case of triple negative breast cancers. BMC Bioinform. Federico M. Stefanini, Danila Coradini, 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`	Evaluation of missing data imputation in longitudinal cohort studies in breast cancer survival. Int. J. Knowl. Eng. Soft Data Paradigms Ana S. Fernandes, José Manuel Fonseca, Ian H. Jarman, Terence A. Etchells, Paulo J. G. Lisboa, Elia Biganzoli, Chris Bajdik
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	—	`conf`	Non-parametric MANOVA Methods for Detecting Differentially Expressed Genes in Real-Time RT-PCR Experiments. CIBB Niccoló Bassani, Federico Ambrogi, Roberta Bosotti, Matteo Bertolotti, Antonella Isacchi, 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
2009	—	`ch.`	Short-term time-to-event model of response to treatment following the GIMEMA protocol for Acute Myeloid Leukaemia. Computational Intelligence and Bioengineering Paulo J. G. Lisboa, Ian H. Jarman, Terence A. Etchells, Federico Ambrogi, Ilaria Ardoino, Marco Vignetti, Elia Biganzoli
2009	—	`conf`	Stratification Methodologies for Neural Networks Models of Survival. IWANN (1) Ana S. Fernandes, Ian H. Jarman, Terence A. Etchells, José Manuel Fonseca, Elia Biganzoli, Chris Bajdik, Paulo J. G. Lisboa
2008	C	`conf`	A Comparison of Three Different Methods for Classification of Breast Cancer Data. ICMLA Daniele Soria, Jonathan M. Garibaldi, Elia Biganzoli, Ian O. Ellis
2008	—	`conf`	Are Model-Based Clustering and Neural Clustering Consistent? A Case Study from Bioinformatics. KES (2) Davide Bacciu, Elia Biganzoli, Paulo J. G. Lisboa, Antonina Starita
2008	C	`conf`	Cancer Profiles by Affinity Propagation. ICMLA Federico Ambrogi, Elena Raimondi, Daniele Soria, Patrizia Boracchi, Elia Biganzoli
2008	B	`conf`	Machine learning in cancer research: implications for personalised medicine. ESANN Alfredo Vellido, Elia Biganzoli, Paulo J. G. Lisboa
2008	C	`conf`	Missing Data Imputation in Longitudinal Cohort Studies: Application of PLANN-ARD in Breast Cancer Survival. ICMLA Ana S. Fernandes, Ian H. Jarman, Terence A. Etchells, José Manuel Fonseca, Elia Biganzoli, Chris Bajdik, Paulo J. G. Lisboa
2007	B	`conf`	Assessing flexible models and rule extraction from censored survival data. IJCNN Paulo J. G. Lisboa, Elia Biganzoli, Azzam F. Taktak, Terence A. Etchells, Ian H. Jarman, M. S. Hane Aung, Federico Ambrogi
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