Tommaso Carraro

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 16

Top Topics

Item Recommendation

Recommender Systems

Top Venues

Publications

Samuele Bortolotti, Emanuele Marconato, Tommaso Carraro, Paolo Morettin, Emile van Krieken, Antonio Vergari, Stefano Teso, Andrea Passerini
A Benchmark Suite for Systematically Evaluating Reasoning Shortcuts. CoRR (2024)
Jessica Lucchetta, Tommaso Carraro, Milena Stoycheva, Lorenzo Angeli
Revisiting Tech Battles Using Science Fiction: Methodological Implications and First Impressions. EDUCON (2024)
Tommaso Carraro, Alessandro Daniele, Fabio Aiolli, Luciano Serafini
Mitigating Data Sparsity via Neuro-Symbolic Knowledge Transfer. ECIR (3) (2024)
Tommaso Carraro
Overcoming Recommendation Limitations with Neuro-Symbolic Integration. RecSys (2023)
Tommaso Carraro, Alessandro Daniele, Fabio Aiolli, Luciano Serafini
Mitigating Data Sparsity via Neuro-Symbolic Knowledge Transfer. KaRS@RecSys (2023)
Jessica Lucchetta, Tommaso Carraro, Milena Stoycheva, Maurizio Marchese, Lorenzo Angeli
Choose Your Own Adventure: Empowering Students to Combine Structured and Open Challenge-Based Learning. FIE (2023)
Tommaso Carraro
Neuro-Symbolic Recommender Systems (Short paper). DC@AI*IA (2023)
Tommaso Carraro, Mirko Polato, Luca Bergamin, Fabio Aiolli
Conditioned Variational Autoencoder for Top-N Item Recommendation. ICANN (2) (2022)
Mirko Polato, Fabio Aiolli, Luca Bergamin, Tommaso Carraro
Bayes Point Rule Set Learning. ESANN (2022)
Tommaso Carraro, Alessandro Daniele, Fabio Aiolli, Luciano Serafini
Logic Tensor Networks for Top-N Recommendation. AI*IA (2022)
Luca Bergamin, Tommaso Carraro, Mirko Polato, Fabio Aiolli
Novel Applications for VAE-based Anomaly Detection Systems. IJCNN (2022)
Fabio Aiolli, Luca Bergamin, Tommaso Carraro, Mirko Polato
Bayes Point Rule Set Learning. CoRR (2022)
Tommaso Carraro, Alessandro Daniele, Fabio Aiolli, Luciano Serafini
Logic Tensor Networks for Top-N Recommendation. NeSy (2022)
Luca Bergamin, Tommaso Carraro, Mirko Polato, Fabio Aiolli
Novel Applications for VAE-based Anomaly Detection Systems. CoRR (2022)
Tommaso Carraro, Mirko Polato, Fabio Aiolli
A Look Inside the Black-Box: Towards the Interpretability of Conditioned Variational Autoencoder for Collaborative Filtering. UMAP (Adjunct Publication) (2020)
Mirko Polato, Tommaso Carraro, Fabio Aiolli
Conditioned Variational Autoencoder for top-N item recommendation. CoRR (2020)