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Fabrizio Angaroni
ORCID
Publication Activity (10 Years)
Years Active: 2019-2023
Publications (10 Years): 14
Top Topics
Stochastic Model
Neural Network
Efficient Inference
Deep Learning
Top Venues
CoRR
BMC Bioinform.
Bioinform.
CIBCB
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Publications
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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)