Federico Ambrogi
Orcid: 0000-0001-9358-011X
According to our database1,
Federico Ambrogi
authored at least 23 papers
between 2005 and 2020.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on zbmath.org
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on orcid.org
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on id.loc.gov
On csauthors.net:
Bibliography
2020
SModelS v1.2: Long-lived particles, combination of signal regions, and other novelties.
Comput. Phys. Commun., 2020
2018
SModelS v1.1 user manual: Improving simplified model constraints with efficiency maps.
Comput. Phys. Commun., 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
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
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
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
Estimating crude cumulative incidences through multinomial logit regression on discrete cause-specific hazards.
Comput. Stat. Data Anal., 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
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008
2007
Selection of artificial neural network models for survival analysis with Genetic Algorithms.
Comput. Stat. Data Anal., 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