Francesco Craighero

According to our database, Francesco Craighero authored at least 6 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

LACE 2.0: an interactive R tool for the inference and visualization of longitudinal cancer evolution.

Gianluca Ascolani, Fabrizio Angaroni, Davide Maspero, Francesco Craighero, Narra Lakshmi Sai Bhavesh, Rocco Piazza, Chiara Damiani, Daniele Ramazzotti, Marco Antoniotti, Alex Graudenzi

BMC Bioinform., December, 2023

Unity is strength: Improving the detection of adversarial examples with ensemble approaches.

Francesco Craighero, Fabrizio Angaroni, Fabio Stella, Chiara Damiani, Marco Antoniotti, Alex Graudenzi

Neurocomputing, October, 2023

2021

Combining multi-target regression deep neural networks and kinetic modeling to predict relative fluxes in reaction systems.

Lucrezia Patruno, Francesco Craighero, Davide Maspero, Alex Graudenzi, Chiara Damiani

Inf. Comput., 2021

EAD: an ensemble approach to detect adversarial examples from the hidden features of deep neural networks.

Francesco Craighero, Fabrizio Angaroni, Fabio Stella, Chiara Damiani, Marco Antoniotti, Alex Graudenzi

CoRR, 2021

2020

Investigating the Compositional Structure of Deep Neural Networks.

Francesco Craighero, Fabrizio Angaroni, Alex Graudenzi, Fabio Stella, Marco Antoniotti

Proceedings of the Machine Learning, Optimization, and Data Science, 2020

Understanding Deep Learning with Activation Pattern Diagrams.

Francesco Craighero, Alex Graudenzi, Fabrizio Angaroni, Fabio Stella, Marco Antoniotti

Proceedings of the Italian Workshop on Explainable Artificial Intelligence co-located with 19th International Conference of the Italian Association for Artificial Intelligence, 2020