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Fabrizio Angaroni
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2020 – today
- 2023
- [j6]Gianluca Ascolani, Fabrizio Angaroni, Davide Maspero, Francesco Craighero, Narra Lakshmi Sai Bhavesh, Rocco Piazza, Chiara Damiani, Daniele Ramazzotti, Marco Antoniotti, Alex Graudenzi:
LACE 2.0: an interactive R tool for the inference and visualization of longitudinal cancer evolution. BMC Bioinform. 24(1): 99 (2023) - [j5]Francesco Craighero, Fabrizio Angaroni, Fabio Stella, Chiara Damiani, Marco Antoniotti, Alex Graudenzi:
Unity is strength: Improving the detection of adversarial examples with ensemble approaches. Neurocomputing 554: 126576 (2023) - 2022
- [j4]Fabrizio Angaroni, Kevin Chen, Chiara Damiani, Giulio Caravagna, Alex Graudenzi, Daniele Ramazzotti:
PMCE: efficient inference of expressive models of cancer evolution with high prognostic power. Bioinform. 38(3): 754-762 (2022) - [j3]Fabrizio Angaroni, Alessandro Guidi, Gianluca Ascolani, Alberto d'Onofrio, Marco Antoniotti, Alex Graudenzi:
J-SPACE: a Julia package for the simulation of spatial models of cancer evolution and of sequencing experiments. BMC Bioinform. 23(1): 269 (2022) - [j2]Daniele Ramazzotti, Fabrizio Angaroni, Davide Maspero, Gianluca Ascolani, Isabella Castiglioni, Rocco Piazza, Marco Antoniotti, Alex Graudenzi:
LACE: Inference of cancer evolution models from longitudinal single-cell sequencing data. J. Comput. Sci. 58: 101523 (2022) - [c6]Davide Maspero, Fabrizio Angaroni, Lucrezia Patruno, Daniele Ramazzotti, David Posada, Alex Graudenzi:
Exploring the Solution Space of Cancer Evolution Inference Frameworks for Single-Cell Sequencing Data. WIVACE 2022: 70-81 - 2021
- [j1]Daniele Ramazzotti, Fabrizio Angaroni, Davide Maspero, Carlo Gambacorti Passerini, Marco Antoniotti, Alex Graudenzi, Rocco Piazza:
VERSO: A comprehensive framework for the inference of robust phylogenies and the quantification of intra-host genomic diversity of viral samples. Patterns 2(3): 100212 (2021) - [c5]Fabrizio Angaroni, Chiara Damiani, Giulia Ramunni, Marco Antoniotti:
Optimal Control of a Discrete Time Stochastic Model of an Epidemic Spreading in Arbitrary Networks. ANNSIM 2021: 1-12 - [i2]Francesco Craighero, Fabrizio Angaroni, Fabio Stella, Chiara Damiani, Marco Antoniotti, Alex Graudenzi:
EAD: an ensemble approach to detect adversarial examples from the hidden features of deep neural networks. CoRR abs/2111.12631 (2021) - 2020
- [c4]Francesco Craighero, Alex Graudenzi, Fabrizio Angaroni, Fabio Stella, Marco Antoniotti:
Understanding Deep Learning with Activation Pattern Diagrams. XAI.it@AI*IA 2020: 119-126 - [c3]Fabrizio Angaroni, Mattia Pennati, Lucrezia Patruno, Davide Maspero, Marco Antoniotti, Alex Graudenzi:
A closed-loop optimization framework for personalized cancer therapy design. CIBCB 2020: 1-9 - [c2]Francesco Craighero, Fabrizio Angaroni, Alex Graudenzi, Fabio Stella, Marco Antoniotti:
Investigating the Compositional Structure of Deep Neural Networks. LOD (1) 2020: 322-334 - [i1]Francesco Craighero, Fabrizio Angaroni, Alex Graudenzi, Fabio Stella, Marco Antoniotti:
Investigating the Compositional Structure Of Deep Neural Networks. CoRR abs/2002.06967 (2020)
2010 – 2019
- 2019
- [c1]Davide Maspero, Marzia Di Filippo, Fabrizio Angaroni, Dario Pescini, Giancarlo Mauri, Marco Vanoni, Alex Graudenzi, Chiara Damiani:
Integration of Single-Cell RNA-Sequencing Data into Flux Balance Cellular Automata. CIBB 2019: 207-215
Coauthor Index
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