NOBANI NAVID

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

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]. Detail

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]. Detail

Malandri, L., Mercorio, F., Mezzanzanica, M., Nobani, N., Seveso, A. (2022). ContrXT: Generating contrastive explanations from any text classifier. INFORMATION FUSION, 81(May 2022), 103-115 [10.1016/j.inffus.2021.11.016]. Detail

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]. Detail