| 2026 | SIGCSE | Where are the Faculty? The Missing Perspective on Teaching Socio-ethical Competencies in Computer science. | Tommaso Carraro, Maurizio Marchese, Lorenzo Angeli |
| 2025 | ITiCSE | Exploring the Role of SEP-related Competencies Development of Faculty in Computing Higher Education. | Tommaso Carraro |
| 2025 | RecSys | Large Language Model-based Recommendation System Agents. | Tommaso Carraro, Brijraj Singh, Niranjan Pedanekar |
| 2024 | ECIR | Mitigating Data Sparsity via Neuro-Symbolic Knowledge Transfer. | Tommaso Carraro, Alessandro Daniele, Fabio Aiolli, Luciano Serafini |
| 2024 | EDUCON | Revisiting Tech Battles Using Science Fiction: Methodological Implications and First Impressions. | Jessica Lucchetta, Tommaso Carraro, Milena Stoycheva, Lorenzo Angeli |
| 2024 | FIE | Fair Tales of Interdisciplinary Learning: Unveiling Students Voices and Competencies Evolution in a Challenge-Based Learning Summer School. | Tommaso Carraro, Jessica Lucchetta, Germn Varas, Milena Stoycheva, Maurizio Marchese, Lorenzo Angeli |
| 2023 | FIE | Choose Your Own Adventure: Empowering Students to Combine Structured and Open Challenge-Based Learning. | Jessica Lucchetta, Tommaso Carraro, Milena Stoycheva, Maurizio Marchese, Lorenzo Angeli |
| 2023 | RecSys | Overcoming Recommendation Limitations with Neuro-Symbolic Integration. | Tommaso Carraro |
| 2022 | ESANN | Bayes Point Rule Set Learning. | Mirko Polato, Fabio Aiolli, Luca Bergamin, Tommaso Carraro |
| 2022 | ICANN | Conditioned Variational Autoencoder for Top-N Item Recommendation. | Tommaso Carraro, Mirko Polato, Luca Bergamin, Fabio Aiolli |
| 2022 | IJCNN | Novel Applications for VAE-based Anomaly Detection Systems. | Luca Bergamin, Tommaso Carraro, Mirko Polato, Fabio Aiolli |
| 2022 | NeSy | Logic Tensor Networks for Top-N Recommendation. | Tommaso Carraro, Alessandro Daniele, Fabio Aiolli, Luciano Serafini |