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pro vyhledávání: '"Bodria, Francesco"'
Autor:
Bodria, Francesco, Giannotti, Fosca, Guidotti, Riccardo, Naretto, Francesca, Pedreschi, Dino, Rinzivillo, Salvatore
The widespread adoption of black-box models in Artificial Intelligence has enhanced the need for explanation methods to reveal how these obscure models reach specific decisions. Retrieving explanations is fundamental to unveil possible biases and to
Externí odkaz:
http://arxiv.org/abs/2102.13076
Akademický článek
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Akademický článek
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Autor:
Bodria, Francesco, Rinzivillo, Salvatore, Fadda, Daniele, Guidotti, Riccardo, Giannotti, Fosca, Pedreschi, Dino
Autoencoders are a powerful yet opaque feature reduction technique, on top of which we propose a novel way for the joint visual exploration of both latent and real space. By interactively exploiting the mapping between latent and real features, it is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd4d7447657e0879cde71bad4f4fd24c
The 18th European Advanced Course on AI (ACAI) took place in Berlin on 11-15 October 2021, organized by the European project Humane-AI Net in collaboration with the European AI Association (EURAI). The school included tutorials on different topics, w
Autor:
Poncelet Pascal, Dino Ienco
This book constitutes the proceedings of the 25th International Conference on Discovery Science, DS 2022, which took place virtually during October 10-12, 2022. The 27 full papers and 12 short papers presented in this volume were carefully reviewed a
Autor:
Matteo Baldoni, Stefania Bandini
This book constitutes the refereed post proceedings of the XIXth International Conference of the Italian Association for Artificial Intelligence, AIxIA 2020, held in Milano, Italy, in November 2020.Due to the COVID-19 pandemic, the conference was'reb