461 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Équipe Littérature et Culture italiennesFR2 papers
- Sorbonne UniversitéFR2 papers
- Université de LilleFR2 papers
- Institute of Cognitive Sciences and TechnologiesIT1 paper
- Istanbul Technical UniversityTR1 paper
- Ministry of Education, Universities and ResearchIT1 paper
- Universidad Carlos III de MadridES1 paper
- University of SienaIT1 paper
6 papers
Cooperative Behavior in Pre-State Societies: An Agent-Based Approach of the Aksum Civilization
Riccardo Vasellini, Gilda Ferrandino, Luisa Sernicola +2
This study intends to test the hypothesis that, contrary to traditional interpretation, the social structure of the polity of Aksum - especially in its early stages - was not chara…
Preserving Culinary Traditions. A Crowdsourced Digital Collection of Cookbooks
Giulia Renda, Giulia Manganelli, Mila Fumini +1
Recipes of popular origin and handwritten cookbooks are often overlooked by scholars. Ragù is a pilot project that tries to fill in this gap by gathering and digitising a collectio…
Thinking Outside the Black Box: Insights from a Digital Exhibition in the Humanities
Sebastian Barzaghi, Alice Bordignon, Bianca Gualandi +1
One of the main goals of Open Science is to make research more reproducible. There is no consensus, however, on what exactly "reproducibility" is, as opposed for example to "replic…
Gamified Crowdsourcing for Idiom Corpora Construction
Gülşen Eryiğit, Ali Şentaş, Johanna Monti
Learning idiomatic expressions is seen as one of the most challenging stages in second language learning because of their unpredictable meaning. A similar situation holds for their…
FastGCN+ARSRGemb: a novel framework for object recognition
Mario Manzo, Simone Pellino
In recent years research has been producing an important effort to encode the digital image content. Most of the adopted paradigms only focus on local features and lack in informat…
Dynamic Graph Convolutional Networks
Franco Manessi, Alessandro Rozza, Mario Manzo
Many different classification tasks need to manage structured data, which are usually modeled as graphs. Moreover, these graphs can be dynamic, meaning that the vertices/edges of e…