Tommaso Carraro

23 papers A* 1A 2B 2C 4Journal 5Unranked 8
YearRankTypeTitle / Venue / Authors
2026 — conf
Where are the Faculty? The Missing Perspective on Teaching Socio-ethical Competencies in Computer science.
SIGCSE (1)
Tommaso Carraro, Maurizio Marchese, Lorenzo Angeli
2025 — conf
Exploring the Role of SEP-related Competencies Development of Faculty in Computing Higher Education.
ITiCSE (2)
Tommaso Carraro
2025 A conf
Large Language Model-based Recommendation System Agents.
RecSys
Tommaso Carraro, Brijraj Singh, Niranjan Pedanekar
2025 — —
Neuro-Symbolic Recommender Systems.
Tommaso Carraro
2024 J jnl
A Benchmark Suite for Systematically Evaluating Reasoning Shortcuts.
CoRR
Samuele Bortolotti, Emanuele Marconato, Tommaso Carraro, Paolo Morettin, Emile van Krieken, Antonio Vergari, Stefano Teso, Andrea Passerini
2024 A* conf
A Neuro-Symbolic Benchmark Suite for Concept Quality and Reasoning Shortcuts.
NeurIPS
Samuele Bortolotti, Emanuele Marconato, Tommaso Carraro, Paolo Morettin, Emile van Krieken, Antonio Vergari, Stefano Teso, Andrea Passerini
2024 C conf
Fair Tales of Interdisciplinary Learning: Unveiling Students Voices and Competencies Evolution in a Challenge-Based Learning Summer School.
FIE
Tommaso Carraro, Jessica Lucchetta, Germán Varas, Milena Stoycheva, Maurizio Marchese, Lorenzo Angeli
2024 J jnl
LTNtorch: PyTorch Implementation of Logic Tensor Networks.
CoRR
Tommaso Carraro, Luciano Serafini, Fabio Aiolli
2024 — conf
Mitigating Data Sparsity via Neuro-Symbolic Knowledge Transfer.
ECIR (3)
Tommaso Carraro, Alessandro Daniele, Fabio Aiolli, Luciano Serafini
2024 C conf
Revisiting Tech Battles Using Science Fiction: Methodological Implications and First Impressions.
EDUCON
Jessica Lucchetta, Tommaso Carraro, Milena Stoycheva, Lorenzo Angeli
2023 C conf
Choose Your Own Adventure: Empowering Students to Combine Structured and Open Challenge-Based Learning.
FIE
Jessica Lucchetta, Tommaso Carraro, Milena Stoycheva, Maurizio Marchese, Lorenzo Angeli
2023 — conf
Mitigating Data Sparsity via Neuro-Symbolic Knowledge Transfer.
KaRS@RecSys
Tommaso Carraro, Alessandro Daniele, Fabio Aiolli, Luciano Serafini
2023 — conf
Neuro-Symbolic Recommender Systems (Short paper).
DC@AI*IA
Tommaso Carraro
2023 A conf
Overcoming Recommendation Limitations with Neuro-Symbolic Integration.
RecSys
Tommaso Carraro
2022 B conf
Bayes Point Rule Set Learning.
ESANN
Mirko Polato, Fabio Aiolli, Luca Bergamin, Tommaso Carraro
2022 J jnl
Bayes Point Rule Set Learning.
CoRR
Fabio Aiolli, Luca Bergamin, Tommaso Carraro, Mirko Polato
2022 — conf
Conditioned Variational Autoencoder for Top-N Item Recommendation.
ICANN (2)
Tommaso Carraro, Mirko Polato, Luca Bergamin, Fabio Aiolli
2022 — conf
Logic Tensor Networks for Top-N Recommendation.
AI*IA
Tommaso Carraro, Alessandro Daniele, Fabio Aiolli, Luciano Serafini
2022 C conf
Logic Tensor Networks for Top-N Recommendation.
NeSy
Tommaso Carraro, Alessandro Daniele, Fabio Aiolli, Luciano Serafini
2022 B conf
Novel Applications for VAE-based Anomaly Detection Systems.
IJCNN
Luca Bergamin, Tommaso Carraro, Mirko Polato, Fabio Aiolli
2022 J jnl
Novel Applications for VAE-based Anomaly Detection Systems.
CoRR
Luca Bergamin, Tommaso Carraro, Mirko Polato, Fabio Aiolli
2020 — conf
A Look Inside the Black-Box: Towards the Interpretability of Conditioned Variational Autoencoder for Collaborative Filtering.
UMAP (Adjunct Publication)
Tommaso Carraro, Mirko Polato, Fabio Aiolli
2020 J jnl
Conditioned Variational Autoencoder for top-N item recommendation.
CoRR
Mirko Polato, Tommaso Carraro, Fabio Aiolli