activity
20192025
most citedVisualising COVID-19 Research

27 citations · 34 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2025

A Review of LLM-Assisted Ideation

Sitong Li, Stefano Padilla, Pierre Le Bras +2

We present a comprehensive, in-depth review of ideation assisted by large language models (LLMs), highlighting emerging trends and identifying unaddressed research gaps. In total,…

cs.HC2025

Visual Exploration of Stopword Probabilities in Topic Models

Shuangjiang Xue, Pierre Le Bras, David A. Robb +2

Stopword removal is a critical stage in many Machine Learning methods but often receives little consideration, it interferes with the model visualizations and disrupts user confide…

cs.IR2021★ 1 cited

Enhancing Reading Strategies by Exploring A Theme-based Approach to Literature Surveys

Tanya Howden, Pierre Le Bras, Thomas S. Methven +2

Searching large digital repositories can be extremely frustrating, as common list-based formats encourage users to adopt a convenience-sampling approach that favours chance discove…

cs.IR2020★ 27 cited

Visualising COVID-19 Research

Pierre Le Bras, Azimeh Gharavi, David A. Robb +3

The world has seen in 2020 an unprecedented global outbreak of SARS-CoV-2, a new strain of coronavirus, causing the COVID-19 pandemic, and radically changing our lives and work con…

cs.RO2019★ 6 cited

Challenges in Collaborative HRI for Remote Robot Teams

Helen Hastie, David A. Robb, José Lopes +6

Collaboration between human supervisors and remote teams of robots is highly challenging, particularly in high-stakes, distant, hazardous locations, such as off-shore energy platfo…