8 citations · 13 across the 5 of their papers we have counts for
5 papers
V-RECS, a Low-Cost LLM4VIS Recommender with Explanations, Captioning and Suggestions
Luca Podo, Marco Angelini, Paola Velardi
NL2VIS (natural language to visualization) is a promising and recent research area that involves interpreting natural language queries and translating them into visualizations that…
Vi(E)va LLM! A Conceptual Stack for Evaluating and Interpreting Generative AI-based Visualizations
Luca Podo, Muhammad Ishmal, Marco Angelini
The automatic generation of visualizations is an old task that, through the years, has shown more and more interest from the research and practitioner communities. Recently, large…
Programming Skills are Not Enough: a Greedy Strategy to Attract More Girls to Study Computer Science
Tiziana Catarci, Luca Podo, Daniel Raffini +1
It has been observed in many studies that female students in general are unwilling to undertake a course of study in ICT. Recent literature has also pointed out that undermining th…
Agnostic Visual Recommendation Systems: Open Challenges and Future Directions
Luca Podo, Bardh Prenkaj, Paola Velardi
Visualization Recommendation Systems (VRSs) are a novel and challenging field of study aiming to help generate insightful visualizations from data and support non-expert users in i…
Are we certain it's anomalous?
Alessandro Flaborea, Bardh Prenkaj, Bharti Munjal +4
The progress in modelling time series and, more generally, sequences of structured data has recently revamped research in anomaly detection. The task stands for identifying abnorma…