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ORCIDMarco Antoniotti
- > Home > Persons > Marco Antoniotti
Publications
- 2023
[j28]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)- [j27]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
- [j25]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) - [j24]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) - 2021
- [j23]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) - [c29]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 - [i9]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
- [c28]Francesco Craighero, Alex Graudenzi, Fabrizio Angaroni, Fabio Stella, Marco Antoniotti:
Understanding Deep Learning with Activation Pattern Diagrams. XAI.it@AI*IA 2020: 119-126 - [c27]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 - [c24]Francesco Craighero, Fabrizio Angaroni, Alex Graudenzi, Fabio Stella, Marco Antoniotti:
Investigating the Compositional Structure of Deep Neural Networks. LOD (1) 2020: 322-334 - [i8]Francesco Craighero, Fabrizio Angaroni, Alex Graudenzi, Fabio Stella, Marco Antoniotti:
Investigating the Compositional Structure Of Deep Neural Networks. CoRR abs/2002.06967 (2020)
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