CoRoNNa: a deep sequential framework to predict epidemic spread. - Dario Aragona; Luca Podo; Bardh Prenkaj; Paola Velardi (SAC, 2021)

AnomalyByClick: An Interactive Visualization Tool for Monitoring Activities of Daily Living and Anomaly Annotation. - Luca Podo; Paola Velardi (AVI, 2022)

Plotly.plus, an Improved Dataset for Visualization Recommendation. - Luca Podo; Paola Velardi (CIKM, 2022)

Are we certain it's anomalous? - Alessandro Flaborea; Bardh Prenkaj; Bharti Munjal; Marco Aurelio Sterpa; Dario Aragona; Luca Podo; Fabio Galasso (CVPR Workshops, 2023)

Machine Learning for Visualization Recommendation Systems: Open Challenges and Future Directions. - Luca Podo; Bardh Prenkaj; Paola Velardi (CoRR, 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, 2023)

Toward a Structured Theoretical Framework for the Evaluation of Generative AI-based Visualizations. - Luca Podo; Muhammad Ishmal; Marco Angelini (EuroVA@EuroVis, 2024)

Vi(E)va LLM! A Conceptual Stack for Evaluating and Interpreting Generative AI-based Visualizations. - Luca Podo; Muhammad Ishmal; Marco Angelini (CoRR, 2024)

V-RECS, a Low-Cost LLM4VIS Recommender with Explanations, Captioning and Suggestions. - Luca Podo; Marco Angelini; Paola Velardi (CoRR, 2024)

Agnostic Visual Recommendation Systems: Open Challenges and Future Directions. - Luca Podo; Bardh Prenkaj; Paola Velardi (IEEE Trans. Vis. Comput. Graph., 2025)