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Journal Articles
- 2023
[j3]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)- [j2]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) - 2021
- [j1]Lucrezia Patruno, Francesco Craighero, Davide Maspero, Alex Graudenzi, Chiara Damiani:
Combining multi-target regression deep neural networks and kinetic modeling to predict relative fluxes in reaction systems. Inf. Comput. 281: 104798 (2021)
Conference and Workshop Papers
- 2020
- [c2]Francesco Craighero, Alex Graudenzi, Fabrizio Angaroni, Fabio Stella, Marco Antoniotti:
Understanding Deep Learning with Activation Pattern Diagrams. XAI.it@AI*IA 2020: 119-126 - [c1]Francesco Craighero, Fabrizio Angaroni, Alex Graudenzi, Fabio Stella, Marco Antoniotti:
Investigating the Compositional Structure of Deep Neural Networks. LOD (1) 2020: 322-334
Informal and Other Publications
- 2021
- [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
- [i1]Francesco Craighero, Fabrizio Angaroni, Alex Graudenzi, Fabio Stella, Marco Antoniotti:
Investigating the Compositional Structure Of Deep Neural Networks. CoRR abs/2002.06967 (2020)
Coauthor Index
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