activity
20142024
most citedGeneralization and Personalization of Mobile Sensing-Based Mood Inference Models: An Analysis of College Students in Eight Countries

48 citations · 331 across the 20 of their papers we have counts for

collaborators

20 papers

cs.LG2024★ 28 cited

M3BAT: Unsupervised Domain Adaptation for Multimodal Mobile Sensing with Multi-Branch Adversarial Training

Lakmal Meegahapola, Hamza Hassoune, Daniel Gatica-Perez

Over the years, multimodal mobile sensing has been used extensively for inferences regarding health and well being, behavior, and context. However, a significant challenge hinderin…

cs.HC2023★ 10 cited

Learning About Social Context from Smartphone Data: Generalization Across Countries and Daily Life Moments

Aurel Ruben Mader, Lakmal Meegahapola, Daniel Gatica-Perez

Understanding how social situations unfold in people's daily lives is relevant to designing mobile systems that can support users in their personal goals, well-being, and activitie…

cs.HC2023

Inferring Mood-While-Eating with Smartphone Sensing and Community-Based Model Personalization

Wageesha Bangamuarachchi, Anju Chamantha, Lakmal Meegahapola +4

The interplay between mood and eating episodes has been extensively researched, revealing a connection between the two. Previous studies have relied on questionnaires and mobile ph…

cs.HC2023★ 11 cited

Understanding the Social Context of Eating with Multimodal Smartphone Sensing: The Role of Country Diversity

Nathan Kammoun, Lakmal Meegahapola, Daniel Gatica-Perez

Understanding the social context of eating is crucial for promoting healthy eating behaviors. Multimodal smartphone sensor data could provide valuable insights into eating behavior…

cs.CL2023★ 2 cited

Examining European Press Coverage of the Covid-19 No-Vax Movement: An NLP Framework

David Alonso del Barrio, Daniel Gatica-Perez

This paper examines how the European press dealt with the no-vax reactions against the Covid-19 vaccine and the dis- and misinformation associated with this movement. Using a curat…

cs.CL2023★ 17 cited

Framing the News:From Human Perception to Large Language Model Inferences

David Alonso del Barrio, Daniel Gatica-Perez

Identifying the frames of news is important to understand the articles' vision, intention, message to be conveyed, and which aspects of the news are emphasized. Framing is a widely…