Fabrizio Angaroni

14 papers C 1Journal 8Unranked 5

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	LACE 2.0: an interactive R tool for the inference and visualization of longitudinal cancer evolution. BMC Bioinform. Gianluca Ascolani, Fabrizio Angaroni, Davide Maspero, Francesco Craighero, Narra Lakshmi Sai Bhavesh, Rocco Piazza, Chiara Damiani, Daniele Ramazzotti, Marco Antoniotti, Alex Graudenzi
2023	J	`jnl`	Unity is strength: Improving the detection of adversarial examples with ensemble approaches. Neurocomputing Francesco Craighero, Fabrizio Angaroni, Fabio Stella, Chiara Damiani, Marco Antoniotti, Alex Graudenzi
2022	—	`conf`	Exploring the Solution Space of Cancer Evolution Inference Frameworks for Single-Cell Sequencing Data. WIVACE Davide Maspero, Fabrizio Angaroni, Lucrezia Patruno, Daniele Ramazzotti, David Posada, Alex Graudenzi
2022	J	`jnl`	J-SPACE: a Julia package for the simulation of spatial models of cancer evolution and of sequencing experiments. BMC Bioinform. Fabrizio Angaroni, Alessandro Guidi, Gianluca Ascolani, Alberto d'Onofrio, Marco Antoniotti, Alex Graudenzi
2022	J	`jnl`	LACE: Inference of cancer evolution models from longitudinal single-cell sequencing data. J. Comput. Sci. Daniele Ramazzotti, Fabrizio Angaroni, Davide Maspero, Gianluca Ascolani, Isabella Castiglioni, Rocco Piazza, Marco Antoniotti, Alex Graudenzi
2022	J	`jnl`	PMCE: efficient inference of expressive models of cancer evolution with high prognostic power. Bioinform. Fabrizio Angaroni, Kevin Chen, Chiara Damiani, Giulio Caravagna, Alex Graudenzi, Daniele Ramazzotti
2021	J	`jnl`	EAD: an ensemble approach to detect adversarial examples from the hidden features of deep neural networks. CoRR Francesco Craighero, Fabrizio Angaroni, Fabio Stella, Chiara Damiani, Marco Antoniotti, Alex Graudenzi
2021	—	`conf`	Optimal Control of a Discrete Time Stochastic Model of an Epidemic Spreading in Arbitrary Networks. ANNSIM Fabrizio Angaroni, Chiara Damiani, Giulia Ramunni, Marco Antoniotti
2021	J	`jnl`	VERSO: A comprehensive framework for the inference of robust phylogenies and the quantification of intra-host genomic diversity of viral samples. Patterns Daniele Ramazzotti, Fabrizio Angaroni, Davide Maspero, Carlo Gambacorti Passerini, Marco Antoniotti, Alex Graudenzi, Rocco Piazza
2020	C	`conf`	A closed-loop optimization framework for personalized cancer therapy design. CIBCB Fabrizio Angaroni, Mattia Pennati, Lucrezia Patruno, Davide Maspero, Marco Antoniotti, Alex Graudenzi
2020	J	`jnl`	Investigating the Compositional Structure Of Deep Neural Networks. CoRR Francesco Craighero, Fabrizio Angaroni, Alex Graudenzi, Fabio Stella, Marco Antoniotti
2020	—	`conf`	Investigating the Compositional Structure of Deep Neural Networks. LOD (1) Francesco Craighero, Fabrizio Angaroni, Alex Graudenzi, Fabio Stella, Marco Antoniotti
2020	—	`conf`	Understanding Deep Learning with Activation Pattern Diagrams. XAI.it@AI*IA Francesco Craighero, Alex Graudenzi, Fabrizio Angaroni, Fabio Stella, Marco Antoniotti
2019	—	`conf`	Integration of Single-Cell RNA-Sequencing Data into Flux Balance Cellular Automata. CIBB Davide Maspero, Marzia Di Filippo, Fabrizio Angaroni, Dario Pescini, Giancarlo Mauri, Marco Vanoni, Alex Graudenzi, Chiara Damiani