Scenarios Interpretation with Prior Knowledge. - Alessandro Daniele (DC@AI*IA, 2018)

Knowledge Enhanced Neural Networks. - Alessandro Daniele; Luciano Serafini (PRICAI (1), 2019)

Neural Networks Enhancement through Prior Logical Knowledge. - Alessandro Daniele; Luciano Serafini (CoRR, 2020)

Logic Tensor Networks for Top-N Recommendation. - Tommaso Carraro; Alessandro Daniele; Fabio Aiolli; Luciano Serafini (AI*IA, 2022)

Knowledge Enhanced Neural Networks for Relational Domains. - Alessandro Daniele; Luciano Serafini (AI*IA, 2022)

Deep Symbolic Learning: Discovering Symbols and Rules from Perceptions. - Alessandro Daniele; Tommaso Campari; Sagar Malhotra; Luciano Serafini (IJCAI, 2023)

Mitigating Data Sparsity via Neuro-Symbolic Knowledge Transfer. - Tommaso Carraro; Alessandro Daniele; Fabio Aiolli; Luciano Serafini (KaRS@RecSys, 2023)

Knowledge Enhanced Neural Networks for Point Cloud Semantic Segmentation. - Eleonora Grilli; Alessandro Daniele; Maarten Bassier; Fabio Remondino; Luciano Serafini (Remote. Sens., 2023)

Refining neural network predictions using background knowledge. - Alessandro Daniele; Emile van Krieken; Luciano Serafini; Frank van Harmelen (Mach. Learn., 2023)

Simple and Effective Transfer Learning for Neuro-Symbolic Integration. - Alessandro Daniele; Tommaso Campari; Sagar Malhotra; Luciano Serafini (NeSy (1), 2024)

Noise to the Rescue: Escaping Local Minima in Neurosymbolic Local Search. - Alessandro Daniele; Emile van Krieken (CoRR, 2025)