Antonio Purificato

Orcid: 0009-0009-3933-380X

According to our database1, Antonio Purificato authored at least 12 papers between 2023 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Sheaf4Rec: Sheaf Neural Networks for Graph-based Recommender Systems.
Trans. Recomm. Syst., June, 2026

Select, Label, Evaluate: Active Testing in NLP.
CoRR, March, 2026

2025
Directional Sheaf Hypergraph Networks: Unifying Learning on Directed and Undirected Hypergraphs.
CoRR, October, 2025

One Search Fits All: Pareto-Optimal Eco-Friendly Model Selection.
CoRR, May, 2025

The Majority Vote Paradigm Shift: When Popular Meets Optimal.
CoRR, February, 2025

Quantized Auto Encoder-Based Anomaly Detection for Multivariate Time Series Data in 5G Networks.
IEEE Access, 2025

A Reproducible Analysis of Sequential Recommender Systems.
IEEE Access, 2025

Are Convolutional Sequential Recommender Systems Still Competitive? Introducing New Models and Insights.
Proceedings of the International Joint Conference on Neural Networks, 2025

Caser+ and CosRec+: Closing the Gap Between CNNs and Attention Models in SRS.
Proceedings of the 15th Italian Information Retrieval Workshop (IIR 2025), 2025

2024
Eco-Aware Graph Neural Networks for Sustainable Recommendations.
Proceedings of the Recommender Systems for Sustainability and Social Good, 2024

2023
Sheaf Neural Networks for Graph-based Recommender Systems.
CoRR, 2023

APatt at SemEval-2023 Task 3: The Sapienza NLP System for Ensemble-based Multilingual Propaganda Detection.
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023


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