NOBANI NAVID

(2023). Empowering XAI and LMI with Human-in-the-loop. (Tesi di dottorato, Università degli Studi di Milano-Bicocca, 2023). Dettaglio

Malandri, L., Mercorio, F., Mezzanzanica, M., Nobani, N. (2023). ConvXAI: a System for Multimodal Interaction with Any Black-box Explainer. COGNITIVE COMPUTATION, 15(2), 613-644 [10.1007/s12559-022-10067-7]. Dettaglio

Cambria, E., Malandri, L., Mercorio, F., Mezzanzanica, M., Nobani, N. (2023). A survey on XAI and natural language explanations. INFORMATION PROCESSING & MANAGEMENT, 60(1) [10.1016/j.ipm.2022.103111]. Dettaglio

Malandri, L., Mercorio, F., Mezzanzanica, M., Nobani, N., Seveso, A. (2022). The Good, the Bad, and the Explainer: A Tool for Contrastive Explanations of Text Classifiers. In Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence Demo Track. (pp.5936-5939). A A A I Press [10.24963/ijcai.2022/858]. Dettaglio

Malandri, L., Mercorio, F., Mezzanzanica, M., Nobani, N., Seveso, A. (2022). Contrastive Explanations of Text Classifiers as a Service. In NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Demonstrations Session (pp.46-53) [10.18653/v1/2022.naacl-demo.6]. Dettaglio