| A survey on XAI and natural language explanations E Cambria, L Malandri, F Mercorio, M Mezzanzanica, N Nobani Information Processing & Management 60 (1), 2023 | 121 | 2023 |
| MEET-LM: A method for embeddings evaluation for taxonomic data in the labour market L Malandri, F Mercorio, M Mezzanzanica, N Nobani Computers in Industry 124, 103341, 2021 | 26 | 2021 |
| ConvXAI: a System for Multimodal Interaction with Any Black‑box Explainer L Malandri, F Mercorio, M Mezzanzanica, N Nobani Cognitive Computation, 2022 | 24 | 2022 |
| ContrXT: Generating contrastive explanations from any text classifier L Malandri, F Mercorio, M Mezzanzanica, N Nobani, A Seveso Information Fusion 81, 103-115, 2022 | 17 | 2022 |
| Xai meets llms: A survey of the relation between explainable ai and large language models E Cambria, L Malandri, F Mercorio, N Nobani, A Seveso arXiv preprint arXiv:2407.15248, 2024 | 13 | 2024 |
| Embeddings evaluation using a novel measure of semantic similarity A Giabelli, L Malandri, F Mercorio, M Mezzanzanica, N Nobani Cognitive Computation 14 (2), 749-763, 2022 | 13 | 2022 |
| TaxoRef: Embeddings Evaluation for AI-driven Taxonomy Refinement L Malandri, F Mercorio, M Mezzanzanica, N Nobani ECML-PKDD, 2021 | 10 | 2021 |
| Towards an Explainer-agnostic Conversational XAI N Nobani, F Mercorio, M Mezzanzanica IJCAI, 2021 | 9 | 2021 |
| The Good, the Bad, and the Explainer: A Tool for Contrastive Explanations of Text Classifiers L Malandri, F Mercorio, M Mezzanzanica, N Nobani, A Seveso IJCAI, 2022 | 8 | 2022 |
| Meet: A method for embeddings evaluation for taxonomic data L Malandri, F Mercorio, M Mezzanzanica, N Nobani 2020 International Conference on Data Mining Workshops (ICDMW), 31-38, 2020 | 8 | 2020 |
| Contrastive Explanations of Text Classifiers as a Service L Malandri, F Mercorio, M Mezzanzanica, N Nobani, A Seveso Proceedings of the 2022 Conference of the North American Chapter of the …, 2022 | 1 | 2022 |
| eXplainable AI for Word Embeddings: A Survey R Boselli, S D’Amico, N Nobani Cognitive Computation 17 (1), 1-24, 2025 | | 2025 |
| Empowering XAI and LMI with Human-in-the-loop N Nobani Università degli Studi di Milano-Bicocca, 2023 | | 2023 |
| An approach to Evaluative AI through Large Language Models A Ermellino, L Malandri, F Mercorio, N Nobani, A Serino | | 2022 |
| A Method for Taxonomy-Aware Embeddings Evaluation (Student Abstract) N Nobani, L Malandri, F Mercorio, M Mezzanzanica Proceedings of the AAAI Conference on Artificial Intelligence 35 (18), 15859 …, 2021 | | 2021 |
| GRASP: Graph-based Mining of Scientific Papers N Nobani, M Pelucchi, M Perico, A Scrivanti, A Vaccarino Proceedings of the 10th International Conference on Data Science, Technology …, 2021 | | 2021 |
| Consumer behavior regarding sustainable food consumption: an exploratory research based on the theory of planned behavior N NOBANI, R POURABRISHAM, M DERAKHSHAN Politecnico di Milano, 2014 | | 2014 |
Fabio MercorioFull Professor in Computer Science, University of Milano-BicoccaAdresse e-mail validée de unimib.it