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2020 – today
- 2024
[c7]Ermellino Andrea, Lorenzo Malandri, Fabio Mercorio, Navid Nobani, Antonio Serino:
An approach to Evaluative AI through Large Language Models. MAI-XAI@ECAI 2024: 1-15- [i1]Erik Cambria, Lorenzo Malandri, Fabio Mercorio, Navid Nobani, Andrea Seveso:
XAI meets LLMs: A Survey of the Relation between Explainable AI and Large Language Models. CoRR abs/2407.15248 (2024) - 2023
- [j5]Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani
:
ConvXAI: a System for Multimodal Interaction with Any Black-box Explainer. Cogn. Comput. 15(2): 613-644 (2023) - [j4]Erik Cambria, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani:
A survey on XAI and natural language explanations. Inf. Process. Manag. 60(1): 103111 (2023) - 2022
- [j3]Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani:
Embeddings Evaluation Using a Novel Measure of Semantic Similarity. Cogn. Comput. 14(2): 749-763 (2022) - [j2]Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani, Andrea Seveso:
ContrXT: Generating contrastive explanations from any text classifier. Inf. Fusion 81: 103-115 (2022) - [c6]Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani, Andrea Seveso:
The Good, the Bad, and the Explainer: A Tool for Contrastive Explanations of Text Classifiers. IJCAI 2022: 5936-5939 - 2021
- [j1]Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani:
MEET-LM: A method for embeddings evaluation for taxonomic data in the labour market. Comput. Ind. 124: 103341 (2021) - [c5]Navid Nobani, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica:
A Method for Taxonomy-Aware Embeddings Evaluation (Student Abstract). AAAI 2021: 15859-15860 - [c4]Navid Nobani, Mauro Pelucchi, Matteo Perico, Andrea Scrivanti, Alessandro Vaccarino:
GRASP: Graph-based Mining of Scientific Papers. DATA 2021: 176-183 - [c3]Navid Nobani, Fabio Mercorio, Mario Mezzanzanica:
Towards an Explainer-agnostic Conversational XAI. IJCAI 2021: 4909-4910 - [c2]Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani:
TaxoRef: Embeddings Evaluation for AI-driven Taxonomy Refinement. ECML/PKDD (3) 2021: 612-627 - 2020
- [c1]Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani:
MEET: A Method for Embeddings Evaluation for Taxonomic Data. ICDM (Workshops) 2020: 31-38
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