Gianluca Apriceno

According to our database, Gianluca Apriceno authored at least 10 papers between 2021 and 2025.

Collaborative distances:

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

2025

A Trustworthy Evolutionary Fuzzy Neural Network Framework for Maternal Health Risk Classification.

Gianluca Apriceno, Marina Segala, Giovanni Valer, Nicola Muraro, Vincenzo Netti, Paulo Vitor de Campos Souza, Mauro Dragoni

Proceedings of the Artificial Intelligence in Medicine - 23rd International Conference, 2025

Exploring Large Language Model Reasoning Capabilities Over Personal Health Data.

Gianluca Apriceno, Tania Bailoni, Mauro Dragoni

Proceedings of the Artificial Intelligence in Medicine - 23rd International Conference, 2025

2024

A Pattern to Align Them All: Integrating Different Modalities to Define Multi-Modal Entities.

Gianluca Apriceno, Valentina Tamma, Tania Bailoni, Jacopo de Berardinis, Mauro Dragoni

CoRR, 2024

Enhancing Logical Tensor Networks: Integrating Uninorm-Based Fuzzy Operators for Complex Reasoning.

Paulo Vitor de Campos Souza, Gianluca Apriceno, Mauro Dragoni

Proceedings of the Neural-Symbolic Learning and Reasoning - 18th International Conference, 2024

Assessing the Validity of a Functional Status Knowledge Graph in a Large-Scale Living Lab.

Mauro Dragoni, Gianluca Apriceno, Tania Bailoni

Proceedings of the 3rd AIxIA Workshop on Artificial Intelligence For Healthcare (HC@AIxIA 2024) co-located with the 23rd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2024), 2024

Validating a Functional Status Knowledge Graph in a Large-Scale Living Lab.

Mauro Dragoni, Gianluca Apriceno, Tania Bailoni

Proceedings of the Knowledge Engineering and Knowledge Management, 2024

2023

Interval Logic Tensor Networks.

Samy Badreddine, Gianluca Apriceno, Andrea Passerini, Luciano Serafini

CoRR, 2023

A Neuro-Symbolic Approach for Non-Intrusive Load Monitoring.

Gianluca Apriceno, Luca Erculiani, Andrea Passerini

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

A Neuro-Symbolic Approach for Real-World Event Recognition from Weak Supervision.

Gianluca Apriceno, Andrea Passerini, Luciano Serafini

Proceedings of the 29th International Symposium on Temporal Representation and Reasoning, 2022

2021

A Neuro-Symbolic Approach to Structured Event Recognition.

Gianluca Apriceno, Andrea Passerini, Luciano Serafini

Proceedings of the 28th International Symposium on Temporal Representation and Reasoning, 2021