Luca Podo

Orcid: 0000-0001-8780-6848

According to our database1, Luca Podo authored at least 9 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2025
Agnostic Visual Recommendation Systems: Open Challenges and Future Directions.
IEEE Trans. Vis. Comput. Graph., March, 2025

2024
V-RECS, a Low-Cost LLM4VIS Recommender with Explanations, Captioning and Suggestions.
CoRR, 2024

Vi(E)va LLM! A Conceptual Stack for Evaluating and Interpreting Generative AI-based Visualizations.
CoRR, 2024

2023
A self-supervised algorithm to detect signs of social isolation in the elderly from daily activity sequences.
Artif. Intell. Medicine, January, 2023

Machine Learning for Visualization Recommendation Systems: Open Challenges and Future Directions.
CoRR, 2023

Are we certain it's anomalous?
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Plotly.plus, an Improved Dataset for Visualization Recommendation.
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.
Proceedings of the AVI 2022: International Conference on Advanced Visual Interfaces, Frascati, Rome, Italy, June 6, 2022

2021
C<sub>o</sub>R<sub>o</sub>NN<sub>a</sub>: a deep sequential framework to predict epidemic spread.
Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021


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