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2020 – today
- 2024
[c12]Tommaso Carraro
, Alessandro Daniele, Fabio Aiolli, Luciano Serafini:
Mitigating Data Sparsity via Neuro-Symbolic Knowledge Transfer. ECIR (3) 2024: 226-242- [c11]Jessica Lucchetta, Tommaso Carraro, Milena Stoycheva, Lorenzo Angeli:
Revisiting Tech Battles Using Science Fiction: Methodological Implications and First Impressions. EDUCON 2024: 1-5 - [i5]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 abs/2406.10368 (2024) - [i4]Tommaso Carraro, Luciano Serafini, Fabio Aiolli:
LTNtorch: PyTorch Implementation of Logic Tensor Networks. CoRR abs/2409.16045 (2024) - 2023
- [c10]Tommaso Carraro:
Neuro-Symbolic Recommender Systems (Short paper). DC@AI*IA 2023 - [c9]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: 1-5 - [c8]Tommaso Carraro, Alessandro Daniele, Fabio Aiolli, Luciano Serafini:
Mitigating Data Sparsity via Neuro-Symbolic Knowledge Transfer. KaRS@RecSys 2023: 69-79 - [c7]Tommaso Carraro:
Overcoming Recommendation Limitations with Neuro-Symbolic Integration. RecSys 2023: 1325-1331 - 2022
- [c6]Tommaso Carraro, Alessandro Daniele, Fabio Aiolli, Luciano Serafini:
Logic Tensor Networks for Top-N Recommendation. AI*IA 2022: 110-123 - [c5]Mirko Polato, Fabio Aiolli, Luca Bergamin, Tommaso Carraro:
Bayes Point Rule Set Learning. ESANN 2022 - [c4]Tommaso Carraro, Mirko Polato, Luca Bergamin, Fabio Aiolli:
Conditioned Variational Autoencoder for Top-N Item Recommendation. ICANN (2) 2022: 785-796 - [c3]Luca Bergamin, Tommaso Carraro, Mirko Polato, Fabio Aiolli:
Novel Applications for VAE-based Anomaly Detection Systems. IJCNN 2022: 1-8 - [c2]Tommaso Carraro, Alessandro Daniele, Fabio Aiolli, Luciano Serafini:
Logic Tensor Networks for Top-N Recommendation. NeSy 2022: 1-14 - [i3]Fabio Aiolli, Luca Bergamin, Tommaso Carraro, Mirko Polato:
Bayes Point Rule Set Learning. CoRR abs/2204.05251 (2022) - [i2]Luca Bergamin, Tommaso Carraro, Mirko Polato, Fabio Aiolli:
Novel Applications for VAE-based Anomaly Detection Systems. CoRR abs/2204.12577 (2022) - 2020
- [c1]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: 233-236 - [i1]Mirko Polato, Tommaso Carraro, Fabio Aiolli:
Conditioned Variational Autoencoder for top-N item recommendation. CoRR abs/2004.11141 (2020)
Coauthor Index
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