Federico Ambrogi

According to our database1, Federico Ambrogi authored at least 23 papers between 2005 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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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
A 'non-parametric' version of the naive Bayes classifier.
Knowl. Based Syst., 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

Flexible parametric modelling of the hazard function in breast cancer studies.
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

Cancer profiles by affinity propagation.
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
Cluster-based visualisation with scatter matrices.
Pattern Recognit. Lett., 2008

Cancer Profiles by Affinity Propagation.
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

Assessing flexible models and rule extraction from censored survival data.
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
Multiple correspondence analysis in S-PLUS.
Comput. Methods Programs Biomed., 2005


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