Federico Ambrogi

24 papers B 4C 1Journal 12Unranked 5
YearRankTypeTitle / Venue / Authors
2020 J jnl
SModelS v1.2: Long-lived particles, combination of signal regions, and other novelties.
Comput. Phys. Commun.
Federico Ambrogi, Juhi Dutta, Jan Heisig, Sabine Kraml, Suchita Kulkarni, Ursula Laa, Andre Lessa, Philipp Neuhuber, Humberto Reyes-González, Wolfgang Waltenberger, Matthias Wolf
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
2018 J jnl
SModelS v1.1 user manual: Improving simplified model constraints with efficiency maps.
Comput. Phys. Commun.
Federico Ambrogi, Sabine Kraml, Suchita Kulkarni, Ursula Laa, Andre Lessa, Veronika Magerl, Jory Sonneveld, Michael Traub, Wolfgang Waltenberger
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
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
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 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
Estimating crude cumulative incidences through multinomial logit regression on discrete cause-specific hazards.
Comput. Stat. Data Anal.
Federico Ambrogi, Elia Biganzoli, Patrizia Boracchi
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
2008 C conf
Cancer Profiles by Affinity Propagation.
ICMLA
Federico Ambrogi, Elena Raimondi, Daniele Soria, Patrizia Boracchi, Elia Biganzoli
2008 J jnl
Cluster-based visualisation with scatter matrices.
Pattern Recognit. Lett.
Paulo J. G. Lisboa, Ian O. Ellis, Andrew R. Green, Federico Ambrogi, M. Benjamin Dias
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
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