Towards a learning-based performance modeling for accelerating Deep Neural Networks

Autor: Damiano Perri, Osvaldo Gervasi, Sergio Tasso, Paolo Sylos Labini, Flavio Vella

Publikováno v: Computational Science and Its Applications – ICCSA 2019 ISBN: 9783030242886
ICCSA (1)

Emerging applications such as Deep Learning are often data-driven, thus traditional approaches based on auto-tuners are not performance effective across the wide range of inputs used in practice. In the present paper, we start an investigation of pre

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::768c184ff0ed40f7e1bf7b6d8f02a46a
http://arxiv.org/abs/2212.05031

Strategies for the Digitalization of Cultural Heritage

Autor: Marco Simonetti, Osvaldo Gervasi, Damiano Perri, Sergio Tasso

Publikováno v: Computational Science and Its Applications – ICCSA 2022 Workshops ISBN: 9783031105913

The COVID-19 pandemic caused despair, poverty and, above all, pain and death across the planet. Nevertheless, there is no doubt that it has also given a strong global impetus to the digital world, asserting its importance, sustainability and richness

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44b4fd35d1ccae14d15ae2a679525860
https://hdl.handle.net/11391/1536093

Sharing Linkable Learning Objects with the use of Metadata and a Taxonomy Assistant for Categorization

Autor: Damiano Perri, Valentina Franzoni, Simonetta Pallottelli, Sergio Tasso

Publikováno v: Computational Science and Its Applications – ICCSA 2019 ISBN: 9783030242954
ICCSA (2)

In this work, a re-design of the Moodledata module functionalities is presented to share learning objects between e-learning content platforms, e.g., Moodle and G-Lorep, in a linkable object format. The e-learning courses content of the Drupal-based

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f371a6eebfff57c366a821233023ab48

Learning Mathematics in an Immersive Way

Autor: Damiano Perri, Osvaldo Gervasi, Marco Simonetti, Sergio Tasso

In this work we introduce a learning system based on Virtual Reality and Augmented Reality for studying analytical-geometric structures that are part of the curriculum in mathematics and physics in high school classes. We believe that an immersive st

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74d7fe177a530e097c36cdd41ebf71e2
http://www.intechopen.com/articles/show/title/learning-mathematics-in-an-immersive-way

Improvements to the G-Lorep Federation of Learning Object Repositories

Autor: Federico Sabbatini, Osvaldo Gervasi, Sergio Tasso, Simonetta Pallottelli

Publikováno v: Computational Science and Its Applications – ICCSA 2020 ISBN: 9783030588199
ICCSA (7)
Computational Science and Its Applications – ICCSA 2020

The G-Lorep project of the European Chemistry Thematic Network (ECTN), based on a federation of distributed repositories of Molecular Science Learning Objects, leverages at present a “hybrid" centralized/distributed architecture in which the centra

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81e8fbf00b32b58bd3b746c9d22b8310
https://doi.org/10.1007/978-3-030-58820-5_39