activity
20162024
most citedMobile social media usage and academic performance

271 citations · 439 across the 49 of their papers we have counts for

collaborators

51 papers

cs.AI2024

KAE: A Property-based Method for Knowledge Graph Alignment and Extension

Daqian Shi, Xiaoyue Li, Fausto Giunchiglia

A common solution to the semantic heterogeneity problem is to perform knowledge graph (KG) extension exploiting the information encoded in one or more candidate KGs, where the alig…

cs.CL2023

TACIT: A Target-Agnostic Feature Disentanglement Framework for Cross-Domain Text Classification

Rui Song, Fausto Giunchiglia, Yingji Li +2

Cross-domain text classification aims to transfer models from label-rich source domains to label-poor target domains, giving it a wide range of practical applications. Many approac…

cs.AI2023★ 1 cited

Towards a Gateway for Knowledge Graph Schemas Collection, Analysis, and Embedding

Mattia Fumagalli, Marco Boffo, Daqian Shi +2

One of the significant barriers to the training of statistical models on knowledge graphs is the difficulty that scientists have in finding the best input data to address their pre…

cs.CY2023

Social Interactions Mediated by the Internet and the Big- Five: a Cross-Country Analysis

Andrea Mercado, Alethia Hume, Ivanno Bison +3

This study analyzes the possible relationship between personality traits, in terms of Big Five (extraversion, agreeableness, responsibility, emotional stability and openness to exp…

cs.CL2023★ 1 cited

Lexical Diversity in Kinship Across Languages and Dialects

Hadi Khalilia, Gábor Bella, Abed Alhakim Freihat +2

Languages are known to describe the world in diverse ways. Across lexicons, diversity is pervasive, appearing through phenomena such as lexical gaps and untranslatability. However,…

cs.CV2023★ 2 cited

A semantics-driven methodology for high-quality image annotation

Fausto Giunchiglia, Mayukh Bagchi, Xiaolei Diao

Recent work in Machine Learning and Computer Vision has highlighted the presence of various types of systematic flaws inside ground truth object recognition benchmark datasets. Our…