ZANGA ALESSIO

Zanga, A., Ozkirimli, E., Stella, F. (2022). A Survey on Causal Discovery: Theory and Practice. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 151(December 2022), 101-129 [10.1016/j.ijar.2022.09.004]. Detail

Zanga, A., Bernasconi, A., Lucas, P., Pijnenborg, H., Reijnen, C., Scutari, M., et al. (2023). The Impact of Missing Data on Causal Discovery: A Multicentric Clinical Study. Intervento presentato a: HC@AIxIA 2023: 2nd AIxIA Workshop on Artificial Intelligence For Healthcare, Roma, Italia. Detail

Zanga, A., Bernasconi, A., Lucas, P., Pijnenborg, H., Reijnen, C., Scutari, M., et al. (2023). Causal Discovery with Missing Data in a Multicentric Clinical Study. In Artificial Intelligence in Medicine 21st International Conference on Artificial Intelligence in Medicine, AIME 2023, Portorož, Slovenia, June 12–15, 2023, Proceedings (pp.40-44). Springer [10.1007/978-3-031-34344-5_5]. Detail

Zanga, A., Bernasconi, A., Lucas, P., Pijnenborg, H., Reijnen, C., Scutari, M., et al. (2022). Risk Assessment of Lymph Node Metastases in Endometrial Cancer Patients: A Causal Approach. In 1st AIxIA Workshop on Artificial Intelligence For Healthcare (HC@AIxIA 2022)
co-located with the 21st International Conference of the Italian Association for Artificial Intelligence (AIxIA 2022) (pp.1-15). CEUR-WS. Detail

Cavenaghi, E., Zanga, A., Stella, F., Zanker, M. (2024). Towards a Causal Decision-Making Framework for Recommender Systems. ACM TRANSACTIONS ON RECOMMENDER SYSTEMS, 2(2), 1-34 [10.1145/3629169]. Detail