Alessandro Daniele

According to our database, Alessandro Daniele authored at least 9 papers between 2019 and 2024.

Collaborative distances:

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

2024

Simple and Effective Transfer Learning for Neuro-Symbolic Integration.

Alessandro Daniele, Tommaso Campari, Sagar Malhotra, Luciano Serafini

CoRR, 2024

2023

Refining neural network predictions using background knowledge.

Alessandro Daniele, Emile van Krieken, Luciano Serafini, Frank van Harmelen

Mach. Learn., September, 2023

Knowledge Enhanced Neural Networks for Point Cloud Semantic Segmentation.

Eleonora Grilli, Alessandro Daniele, Maarten Bassier, Fabio Remondino, Luciano Serafini

Remote. Sens., 2023

Deep Symbolic Learning: Discovering Symbols and Rules from Perceptions.

Alessandro Daniele, Tommaso Campari, Sagar Malhotra, Luciano Serafini

Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, 2023

Mitigating Data Sparsity via Neuro-Symbolic Knowledge Transfer.

Tommaso Carraro, Alessandro Daniele, Fabio Aiolli, Luciano Serafini

Proceedings of the Fifth Knowledge-aware and Conversational Recommender Systems Workshop co-located with 17th ACM Conference on Recommender Systems (RecSys 2023), 2023

2022

Logic Tensor Networks for Top-N Recommendation.

Tommaso Carraro, Alessandro Daniele, Fabio Aiolli, Luciano Serafini

Proceedings of the 16th International Workshop on Neural-Symbolic Learning and Reasoning as part of the 2nd International Joint Conference on Learning & Reasoning (IJCLR 2022), 2022

Knowledge Enhanced Neural Networks for Relational Domains.

Alessandro Daniele, Luciano Serafini

Proceedings of the AIxIA 2022 - Advances in Artificial Intelligence, 2022

2020

Neural Networks Enhancement through Prior Logical Knowledge.

Alessandro Daniele, Luciano Serafini

CoRR, 2020

2019

Knowledge Enhanced Neural Networks.

Alessandro Daniele, Luciano Serafini

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019