Francesco Invernici

According to our database, Francesco Invernici authored at least 10 papers between 2023 and 2025.

Collaborative distances:

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

2025

Capturing research literature attitude towards sustainable development goals: an LLM-based topic modeling approach.

Francesco Invernici, Francesca Curati, Jelena Jakimov, Amirhossein Samavi, Anna Bernasconi

J. Big Data, December, 2025

Mine Graph Rule: A New GQL Operator for Mining Association Rules in Property Graph Databases.

Francesco Cambria, Francesco Invernici, Anna Bernasconi, Stefano Ceri

VLDB J., July, 2025

TETYS: Configurable Topic Modeling Exploration for Big Corpora of Text Documents.

Francesco Invernici, Anna Bernasconi, Francesca Curati, Jelena Jakimov, Amirhossein Samavi

Proceedings of the Proceedings 28th International Conference on Extending Database Technology, 2025

Legislative Knowledge Management with Property Graphs.

Andrea Colombo, Francesco Invernici, Francesco Cambria

Proceedings of the Workshops of the EDBT/ICDT 2025 Joint Conference co-located with the EDBT/ICDT 2025 Joint Conference, 2025

2024

Exploring the evolution of research topics during the COVID-19 pandemic.

Francesco Invernici, Anna Bernasconi, Stefano Ceri

Expert Syst. Appl., 2024

MINE GRAPH RULE: A New Cypher-like Operator for Mining Association Rules on Property Graphs.

Francesco Cambria, Francesco Invernici, Anna Bernasconi, Stefano Ceri

CoRR, 2024

BeRTo: An Efficient Spark-Based Tool for Linking Business Registries in Big Data Environments.

Andrea Colombo, Francesco Invernici

Proceedings of the 13th International Conference on Data Science, 2024

TETYS: Towards the Next-Generation Open-Source Web Topic Explorer.

Anna Bernasconi, Francesco Invernici, Stefano Ceri

Proceedings of the Research Projects Exhibition Papers Presented at the 36th International Conference on Advanced Information Systems Engineering(CAiSE 2024), 2024

2023

Supporting data for "CoVEffect: Interactive System for Mining the Effects of SARS-CoV-2 Mutations and Variants Based on Deep Learning".

Giuseppe Serna Garcia, Ruba Al Khalaf, Francesco Invernici, Anna Bernasconi, Stefano Ceri

Dataset, April, 2023

Searching COVID-19 clinical research using graphical abstracts.

Francesco Invernici, Anna Bernasconi, Stefano Ceri

CoRR, 2023