Luca Podo

According to our database, Luca Podo authored at least 8 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

V-RECS, a Low-Cost LLM4VIS Recommender with Explanations, Captioning and Suggestions.

Luca Podo, Marco Angelini, Paola Velardi

CoRR, 2024

Vi(E)va LLM! A Conceptual Stack for Evaluating and Interpreting Generative AI-based Visualizations.

Luca Podo, Muhammad Ishmal, Marco Angelini

CoRR, 2024

2023

A self-supervised algorithm to detect signs of social isolation in the elderly from daily activity sequences.

Bardh Prenkaj, Dario Aragona, Alessandro Flaborea, Fabio Galasso, Saverio Gravina, Luca Podo, Emilia Reda, Paola Velardi

Artif. Intell. Medicine, January, 2023

Machine Learning for Visualization Recommendation Systems: Open Challenges and Future Directions.

Luca Podo, Bardh Prenkaj, Paola Velardi

CoRR, 2023

Are we certain it's anomalous?

Alessandro Flaborea, Bardh Prenkaj, Bharti Munjal, Marco Aurelio Sterpa, Dario Aragona, Luca Podo, Fabio Galasso

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Plotly.plus, an Improved Dataset for Visualization Recommendation.

Luca Podo, Paola Velardi

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

AnomalyByClick: An Interactive Visualization Tool for Monitoring Activities of Daily Living and Anomaly Annotation.

Luca Podo, Paola Velardi

Proceedings of the AVI 2022: International Conference on Advanced Visual Interfaces, Frascati, Rome, Italy, June 6, 2022

2021

C_oR_oNN_a: a deep sequential framework to predict epidemic spread.

Dario Aragona, Luca Podo, Bardh Prenkaj, Paola Velardi

Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021