Elia Biganzoli
Orcid: 0000-0003-1202-5873
According to our database1,
Elia Biganzoli
authored at least 35 papers
between 2002 and 2018.
Collaborative distances:
Collaborative distances:
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Bibliography
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.
BMC Bioinform., 2018
2014
Estimation of a Piecewise Exponential Model by Bayesian P-splines Techniques for Prognostic Assessment and Prediction.
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.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2013
2012
Assessing Agreement between microRNA Microarray Platforms via Linear Measurement Error Models.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2012
2011
Proceedings of the Advances in Computational Intelligence, 2011
Reliability of miRNA Microarray Platforms: An Approach Based on Random Effects Linear Models.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2011
2010
A methodology to identify consensus classes from clustering algorithms applied to immunohistochemical data from breast cancer patients.
Comput. Biol. Medicine, 2010
Assessment of benefit vs. risk of drug therapy: The potential for outcome analysis with flexible models.
Proceedings of the International Joint Conference on Neural Networks, 2010
Complementary use of cluster analysis and biplots to discover and validate patterns of gene expression in microarray data.
Proceedings of the International Joint Conference on Neural Networks, 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
Use of Biplots and Partial Least Squares Regression in Microarray Data Analysis for Assessing Association between Genes Involved in Different Biological Pathways.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2010
2009
Short-term time-to-event model of response to treatment following the GIMEMA protocol for Acute Myeloid Leukaemia.
Proceedings of the Computational Intelligence and Bioengineering, 2009
Partial Logistic Artificial Neural Network for Competing Risks Regularized With Automatic Relevance Determination.
IEEE Trans. Neural Networks, 2009
Int. J. Knowl. Eng. Soft Data Paradigms, 2009
Evaluation of missing data imputation in longitudinal cohort studies in breast cancer survival.
Int. J. Knowl. Eng. Soft Data Paradigms, 2009
Exploration of distributional models for a novel intensity-dependent normalization procedure in censored gene expression data.
Comput. Stat. Data Anal., 2009
Estimating crude cumulative incidences through multinomial logit regression on discrete cause-specific hazards.
Comput. Stat. Data Anal., 2009
Conditional independence relations among biological markers may improve clinical decision as in the case of triple negative breast cancers.
BMC Bioinform., 2009
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009
Partial logistic artificial neural networks (PLANN) for flexible modeling of censored survival data.
Proceedings of the International Joint Conference on Neural Networks, 2009
Non-parametric MANOVA Methods for Detecting Differentially Expressed Genes in Real-Time RT-PCR Experiments.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2009
2008
Are Model-Based Clustering and Neural Clustering Consistent? A Case Study from Bioinformatics.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008
Missing Data Imputation in Longitudinal Cohort Studies: Application of PLANN-ARD in Breast Cancer Survival.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008
2007
Selection of artificial neural network models for survival analysis with Genetic Algorithms.
Comput. Stat. Data Anal., 2007
Comput. Biol. Medicine, 2007
Proceedings of the International Joint Conference on Neural Networks, 2007
2006
Artificial neural network for the joint modelling of discrete cause-specific hazards.
Artif. Intell. Medicine, 2006
2005
2003
Joint modelling of cause-specific hazard functions with cubic splines: an application to a large series of breast cancer patients.
Comput. Stat. Data Anal., 2003
2002
Neural Networks, 2002