Navid Nobani

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 12

Top Topics

Unlabeled Documents

Text Classifiers

Top Venues

Publications

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 (2024)
Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani
ConvXAI: a System for Multimodal Interaction with Any Black-box Explainer. Cogn. Comput. 15 (2) (2023)
Erik Cambria, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani
A survey on XAI and natural language explanations. Inf. Process. Manag. 60 (1) (2023)
Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani
Embeddings Evaluation Using a Novel Measure of Semantic Similarity. Cogn. Comput. 14 (2) (2022)
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)
Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani, Andrea Seveso
ContrXT: Generating contrastive explanations from any text classifier. Inf. Fusion 81 (2022)
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 (2021)
Navid Nobani, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica
A Method for Taxonomy-Aware Embeddings Evaluation (Student Abstract). AAAI (2021)
Navid Nobani, Mauro Pelucchi, Matteo Perico, Andrea Scrivanti, Alessandro Vaccarino
GRASP: Graph-based Mining of Scientific Papers. DATA (2021)
Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani
TaxoRef: Embeddings Evaluation for AI-driven Taxonomy Refinement. ECML/PKDD (3) (2021)
Navid Nobani, Fabio Mercorio, Mario Mezzanzanica
Towards an Explainer-agnostic Conversational XAI. IJCAI (2021)
Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani
MEET: A Method for Embeddings Evaluation for Taxonomic Data. ICDM (Workshops) (2020)