A Neuro-Symbolic Approach to Structured Event Recognition. - Gianluca Apriceno; Andrea Passerini; Luciano Serafini (TIME, 2021)

A Neuro-Symbolic Approach for Real-World Event Recognition from Weak Supervision. - Gianluca Apriceno; Andrea Passerini; Luciano Serafini (TIME, 2022)

A Neuro-Symbolic Approach for Non-Intrusive Load Monitoring. - Gianluca Apriceno; Luca Erculiani; Andrea Passerini (ECAI, 2023)

Interval Logic Tensor Networks. - Samy Badreddine; Gianluca Apriceno; Andrea Passerini; Luciano Serafini (CoRR, 2023)

Validating a Functional Status Knowledge Graph in a Large-Scale Living Lab. - Mauro Dragoni; Gianluca Apriceno; Tania Bailoni (EKAW, 2024)

Assessing the Validity of a Functional Status Knowledge Graph in a Large-Scale Living Lab. - Mauro Dragoni; Gianluca Apriceno; Tania Bailoni (HC@AIxIA, 2024)

Enhancing Logical Tensor Networks: Integrating Uninorm-Based Fuzzy Operators for Complex Reasoning. - Paulo Vitor de Campos Souza; Gianluca Apriceno; Mauro Dragoni (NeSy (2), 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)

Exploring Large Language Model Reasoning Capabilities Over Personal Health Data. - Gianluca Apriceno; Tania Bailoni; Mauro Dragoni (AIME (2), 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 (AIME (2), 2025)