| 2026 | AIME | Logic-Guided Interpretable Hospital Readmission Risk Modeling Using Italian Administrative Healthcare Data. | Marina Andric, Gianluca Apriceno, Kevin Gelmini, Mauro Dragoni |
| 2026 | AIME | Evaluating Temporal Clinical Reasoning and Audience-Tailored Explanations in Large Language Models. | Gianluca Apriceno, Tania Bailoni, Mauro Dragoni |
| 2026 | AIME | Seeing the Wood for the Trees: Rethinking AI Ethics Beyond Anthropocentrism. | Bianca Lerma, Gianluca Apriceno, Mauro Dragoni |
| 2025 | AIME | Exploring Large Language Model Reasoning Capabilities Over Personal Health Data. | Gianluca Apriceno, Tania Bailoni, Mauro Dragoni |
| 2025 | AIME | 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 |
| 2024 | EKAW | Validating a Functional Status Knowledge Graph in a Large-Scale Living Lab. | Mauro Dragoni, Gianluca Apriceno, Tania Bailoni |
| 2024 | NeSy | Enhancing Logical Tensor Networks: Integrating Uninorm-Based Fuzzy Operators for Complex Reasoning. | Paulo Vitor de Campos Souza, Gianluca Apriceno, Mauro Dragoni |
| 2023 | ECAI | A Neuro-Symbolic Approach for Non-Intrusive Load Monitoring. | Gianluca Apriceno, Luca Erculiani, Andrea Passerini |
| 2022 | TIME | A Neuro-Symbolic Approach for Real-World Event Recognition from Weak Supervision. | Gianluca Apriceno, Andrea Passerini, Luciano Serafini |
| 2021 | TIME | A Neuro-Symbolic Approach to Structured Event Recognition. | Gianluca Apriceno, Andrea Passerini, Luciano Serafini |