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ORCIDFederico Ambrogi
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2020 – today
- 2020
[j12]Federico Ambrogi, Juhi Dutta
, Jan Heisig, Sabine Kraml, Suchita Kulkarni, Ursula Laa, Andre Lessa, Philipp Neuhuber, Humberto Reyes-González, Wolfgang Waltenberger, Matthias Wolf:
SModelS v1.2: Long-lived particles, combination of signal regions, and other novelties. Comput. Phys. Commun. 251: 106848 (2020)
2010 – 2019
- 2018
- [j11]Marco Fornili, Patrizia Boracchi, Federico Ambrogi, Elia Biganzoli:
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. 19-S(7): 23-29 (2018) - [j10]Federico Ambrogi, Sabine Kraml, Suchita Kulkarni, Ursula Laa, Andre Lessa, Veronika Magerl, Jory Sonneveld, Michael Traub, Wolfgang Waltenberger:
SModelS v1.1 user manual: Improving simplified model constraints with efficiency maps. Comput. Phys. Commun. 227: 72-98 (2018) - 2013
- [c10]Marco Fornili, Federico Ambrogi, Patrizia Boracchi, Elia Biganzoli:
Piecewise Exponential Artificial Neural Networks (PEANN) for Modeling Hazard Function with Right Censored Data. CIBB 2013: 125-136 - 2012
- [c9]Niccoló Bassani, Federico Ambrogi, Elia Biganzoli:
Assessing Agreement between microRNA Microarray Platforms via Linear Measurement Error Models. CIBB 2012: 117-131 - [e1]Elia Biganzoli, Alfredo Vellido, Federico Ambrogi, Roberto Tagliaferri:
Computational Intelligence Methods for Bioinformatics and Biostatistics, 8th International Meeting, CIBB 2011, Gargnano del Garda, Italy, June 30 - July 2, 2011, Revised Selected Papers. Lecture Notes in Computer Science 7548, Springer 2012, ISBN 978-3-642-35685-8 [contents] - 2011
- [j9]Daniele Soria, Jonathan M. Garibaldi, Federico Ambrogi, Elia Biganzoli, Ian O. Ellis:
A 'non-parametric' version of the naive Bayes classifier. Knowl. Based Syst. 24(6): 775-784 (2011) - [c8]Niccoló Bassani, Federico Ambrogi, Cristina Battaglia, Elia Biganzoli:
Reliability of miRNA Microarray Platforms: An Approach Based on Random Effects Linear Models. CIBB 2011: 61-72 - 2010
- [j8]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:
A methodology to identify consensus classes from clustering algorithms applied to immunohistochemical data from breast cancer patients. Comput. Biol. Medicine 40(3): 318-330 (2010) - [c7]Niccoló Bassani, Federico Ambrogi, Danila Coradini, Elia Biganzoli:
Use of Biplots and Partial Least Squares Regression in Microarray Data Analysis for Assessing Association between Genes Involved in Different Biological Pathways. CIBB 2010: 123-134 - [c6]Ilaria Ardoino, Federico Ambrogi, Chris Bajdik, Paulo J. G. Lisboa, Elia Biganzoli, Patrizia Boracchi:
Flexible parametric modelling of the hazard function in breast cancer studies. IJCNN 2010: 1-5 - [c5]Niccoló Bassani, Federico Ambrogi, Danila Coradini, Patrizia Boracchi, Elia Biganzoli:
Complementary use of cluster analysis and biplots to discover and validate patterns of gene expression in microarray data. IJCNN 2010: 1-7
2000 – 2009
- 2009
- [j7]Federico Ambrogi, Elia Biganzoli, Patrizia Boracchi:
Estimating crude cumulative incidences through multinomial logit regression on discrete cause-specific hazards. Comput. Stat. Data Anal. 53(7): 2767-2779 (2009) - [j6]Daniele Soria, Jonathan M. Garibaldi, Federico Ambrogi, Patrizia Boracchi, Elena Raimondi, Elia Biganzoli:
Cancer profiles by affinity propagation. Int. J. Knowl. Eng. Soft Data Paradigms 1(3): 195-215 (2009) - [j5]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:
Partial Logistic Artificial Neural Network for Competing Risks Regularized With Automatic Relevance Determination. IEEE Trans. Neural Networks 20(9): 1403-1416 (2009) - [c4]Niccoló Bassani, Federico Ambrogi, Roberta Bosotti, Matteo Bertolotti, Antonella Isacchi, Elia Biganzoli:
Non-parametric MANOVA Methods for Detecting Differentially Expressed Genes in Real-Time RT-PCR Experiments. CIBB 2009: 56-69 - [c3]Elia Biganzoli, Federico Ambrogi, Patrizia Boracchi:
Partial logistic artificial neural networks (PLANN) for flexible modeling of censored survival data. IJCNN 2009: 340-346 - [p1]Paulo J. G. Lisboa, Ian H. Jarman, Terence A. Etchells, Federico Ambrogi, Ilaria Ardoino, Marco Vignetti, Elia Biganzoli:
Short-term time-to-event model of response to treatment following the GIMEMA protocol for Acute Myeloid Leukaemia. Computational Intelligence and Bioengineering 2009: 81-93 - 2008
- [j4]Paulo J. G. Lisboa, Ian O. Ellis, Andrew R. Green, Federico Ambrogi, M. Benjamin Dias:
Cluster-based visualisation with scatter matrices. Pattern Recognit. Lett. 29(13): 1814-1823 (2008) - [c2]Federico Ambrogi, Elena Raimondi, Daniele Soria, Patrizia Boracchi, Elia Biganzoli:
Cancer Profiles by Affinity Propagation. ICMLA 2008: 650-655 - 2007
- [j3]Federico Ambrogi, Nicola Lama, Patrizia Boracchi, Elia Biganzoli:
Selection of artificial neural network models for survival analysis with Genetic Algorithms. Comput. Stat. Data Anal. 52(1): 30-42 (2007) - [c1]Paulo J. G. Lisboa, Elia Biganzoli, Azzam F. Taktak, Terence A. Etchells, Ian H. Jarman, M. S. Hane Aung, Federico Ambrogi:
Assessing flexible models and rule extraction from censored survival data. IJCNN 2007: 1663-1668 - 2006
- [j2]Elia Biganzoli, Patrizia Boracchi, Federico Ambrogi, Ettore Marubini:
Artificial neural network for the joint modelling of discrete cause-specific hazards. Artif. Intell. Medicine 37(2): 119-130 (2006) - 2005
- [j1]Federico Ambrogi, Elia Biganzoli, Patrizia Boracchi:
Multiple correspondence analysis in S-PLUS. Comput. Methods Programs Biomed. 79(2): 161-167 (2005)
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