activity
20162024
most citedMobile social media usage and academic performance

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

collaborators
Showing 2023Show all

17 papers · 1 filter

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…

cs.CY2023★ 5 cited

Diversity and Language Technology: How Techno-Linguistic Bias Can Cause Epistemic Injustice

Paula Helm, Gábor Bella, Gertraud Koch +1

It is well known that AI-based language technology -- large language models, machine translation systems, multilingual dictionaries, and corpora -- is currently limited to 2 to 3 p…

cs.CL2023★ 4 cited

Towards Bridging the Digital Language Divide

Gábor Bella, Paula Helm, Gertraud Koch +1

It is a well-known fact that current AI-based language technology -- language models, machine translation systems, multilingual dictionaries and corpora -- focuses on the world's 2…

cs.CL2023★ 1 cited

Automatic Counterfactual Augmentation for Robust Text Classification Based on Word-Group Search

Rui Song, Fausto Giunchiglia, Yingji Li +1

Despite large-scale pre-trained language models have achieved striking results for text classificaion, recent work has raised concerns about the challenge of shortcut learning. In…

physics.soc-ph2023

Adaptation of Student Behavioural Routines during COVID-19: A Multimodal Approach

Nicolò A. Girardini, Simone Centellegher, Andrea Passerini +3

One population group that had to significantly adapt and change their behaviour during the COVID-19 pandemic is students. While previous studies have extensively investigated the i…

cs.CY2023★ 1 cited

Social interactions mediated by the Internet and the Big-Five: a cross-country analysis

Andrea Mercado, Alethia Hume, Ivano 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.AI2023

Building Interoperable Electronic Health Records as Purpose-Driven Knowledge Graphs

Simone Bocca, Alessio Zamboni, Gabor Bella +5

When building a new application we are increasingly confronted with the need of reusing and integrating pre-existing knowledge. Nevertheless, it is a fact that this prior knowledge…

cs.AI2023

Egocentric Hierarchical Visual Semantics

Luca Erculiani, Andrea Bontempelli, Andrea Passerini +1

We are interested in aligning how people think about objects and what machines perceive, meaning by this the fact that object recognition, as performed by a machine, should follow…

cs.AI2023

Recognizing Entity Types via Properties

Daqian Shi, Fausto Giunchiglia

The mainstream approach to the development of ontologies is merging ontologies encoding different information, where one of the major difficulties is that the heterogeneity motivat…

cs.CV2023★ 1 cited

Incremental Image Labeling via Iterative Refinement

Fausto Giunchiglia, Xiaolei Diao, Mayukh Bagchi

Data quality is critical for multimedia tasks, while various types of systematic flaws are found in image benchmark datasets, as discussed in recent work. In particular, the existe…

cs.AI2023

Towards Ranking Schemas by Focus

Mattia Fumagalli, Daqian Shi, Fausto Giunchiglia

The main goal of this paper is to evaluate knowledge base schemas, modeled as a set of entity types, each such type being associated with a set of properties, according to their fo…

cs.HC2023★ 25 cited

Complex Daily Activities, Country-Level Diversity, and Smartphone Sensing: A Study in Denmark, Italy, Mongolia, Paraguay, and UK

Karim Assi, Lakmal Meegahapola, William Droz +19

Smartphones enable understanding human behavior with activity recognition to support people's daily lives. Prior studies focused on using inertial sensors to detect simple activiti…

cs.CL2023

Representing Interlingual Meaning in Lexical Databases

Fausto Giunchiglia, Gabor Bella, Nandu Chandran Nair +2

In today's multilingual lexical databases, the majority of the world's languages are under-represented. Beyond a mere issue of resource incompleteness, we show that existing lexica…