Fabrizio Angaroni

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 14

Top Topics

Stochastic Model

Efficient Inference

Top Venues

Publications

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 (2023)
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) (2023)
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) (2022)
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)
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 (2022)
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) (2022)
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)
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 (2021)
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) (2021)
Francesco Craighero, Fabrizio Angaroni, Alex Graudenzi, Fabio Stella, Marco Antoniotti
Investigating the Compositional Structure Of Deep Neural Networks. CoRR (2020)
Francesco Craighero, Alex Graudenzi, Fabrizio Angaroni, Fabio Stella, Marco Antoniotti
Understanding Deep Learning with Activation Pattern Diagrams. XAI.it@AI*IA (2020)
Francesco Craighero, Fabrizio Angaroni, Alex Graudenzi, Fabio Stella, Marco Antoniotti
Investigating the Compositional Structure of Deep Neural Networks. LOD (1) (2020)
Fabrizio Angaroni, Mattia Pennati, Lucrezia Patruno, Davide Maspero, Marco Antoniotti, Alex Graudenzi
A closed-loop optimization framework for personalized cancer therapy design. CIBCB (2020)
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)