Tommaso Carraro

According to our database, Tommaso Carraro authored at least 10 papers between 2020 and 2023.

Collaborative distances:

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

2023

Overcoming Recommendation Limitations with Neuro-Symbolic Integration.

Tommaso Carraro

Proceedings of the 17th ACM Conference on Recommender Systems, 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

Choose Your Own Adventure: Empowering Students to Combine Structured and Open Challenge-Based Learning.

Jessica Lucchetta, Tommaso Carraro, Milena Stoycheva, Maurizio Marchese, Lorenzo Angeli

Proceedings of the IEEE Frontiers in Education Conference, 2023

Neuro-Symbolic Recommender Systems (Short paper).

Tommaso Carraro

Proceedings of the AIxIA Doctoral Consortium 2023 co-located with the 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 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

Novel Applications for VAE-based Anomaly Detection Systems.

Luca Bergamin, Tommaso Carraro, Mirko Polato, Fabio Aiolli

Proceedings of the International Joint Conference on Neural Networks, 2022

Conditioned Variational Autoencoder for Top-N Item Recommendation.

Tommaso Carraro, Mirko Polato, Luca Bergamin, Fabio Aiolli

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Bayes Point Rule Set Learning.

Mirko Polato, Fabio Aiolli, Luca Bergamin, Tommaso Carraro

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

2020

Conditioned Variational Autoencoder for top-N item recommendation.

Mirko Polato, Tommaso Carraro, Fabio Aiolli

CoRR, 2020

A Look Inside the Black-Box: Towards the Interpretability of Conditioned Variational Autoencoder for Collaborative Filtering.

Tommaso Carraro, Mirko Polato, Fabio Aiolli

Proceedings of the Adjunct Publication of the 28th ACM Conference on User Modeling, 2020