Search Results for author: Marco Angelini

Found 2 papers, 1 papers with code

Vi(E)va LLM! A Conceptual Stack for Evaluating and Interpreting Generative AI-based Visualizations

1 code implementation3 Feb 2024 Luca Podo, Muhammad Ishmal, Marco Angelini

We also designed and implemented an evaluation platform that provides a benchmarking resource for the visualization generation task.

Benchmarking

State of the Art of Visual Analytics for eXplainable Deep Learning

no code implementations Computer Graphics Forum 2023 Biagio La Rosa, Graziano Blasilli, Romain Bourqui, David Auber, Giuseppe Santucci, Roberto Capobianco, Enrico Bertini, Romain Giot, Marco Angelini

The survey concludes by identifying future research challenges and bridging activities that are helpful to strengthen the role of Visual Analytics as effective support for eXplainable Deep Learning and to foster the adoption of Visual Analytics solutions in the eXplainable Deep Learning community.

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