Navid Nobani

Assistant Professor, University of Milan-Bicocca

Joined

July 2020

Names

Navid Nobani (Preferred)

Emails

****@unimib.it (Confirmed)

Personal Links

Semantic Scholar

Career & Education History

Assistant Professor

University of Milan-Bicocca (unimib.it)

2023 – 2026

Advisors, Relations & Conflicts

No relations added

Expertise

Representation Learning

2020 – Present

Explainanble AI

2019 – Present

NLP

2019 – Present

Publications

eXplainable AI for Word Embeddings: A Survey
Roberto Boselli, Simone D'Amico, Navid Nobani
- Cogn. Comput. 2025
- Readers: Everyone
An approach to Evaluative AI through Large Language Models
Andrea Ermellino, Lorenzo Malandri, Fabio Mercorio, Navid Nobani, Antonio Serino
- MAI-XAI@ECAI 2024
- Readers: Everyone
XAI meets LLMs: A Survey of the Relation between Explainable AI and Large Language Models
Erik Cambria, Lorenzo Malandri, Fabio Mercorio, Navid Nobani, Andrea Seveso
- CoRR 2024
- Readers: Everyone
ConvXAI: a System for Multimodal Interaction with Any Black-box Explainer
Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani
- Cogn. Comput. 2023
- Readers: Everyone
A survey on XAI and natural language explanations
Erik Cambria, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani
- Inf. Process. Manag. 2023
- Readers: Everyone
Embeddings Evaluation Using a Novel Measure of Semantic Similarity
Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani
- Cogn. Comput. 2022
- Readers: Everyone
ContrXT: Generating contrastive explanations from any text classifier
Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani, Andrea Seveso
- Inf. Fusion 2022
- Readers: Everyone
The Good, the Bad, and the Explainer: A Tool for Contrastive Explanations of Text Classifiers
Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani, Andrea Seveso
- IJCAI 2022
- Readers: Everyone
MEET-LM: A method for embeddings evaluation for taxonomic data in the labour market
Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani
- Comput. Ind. 2021
- Readers: Everyone
A Method for Taxonomy-Aware Embeddings Evaluation (Student Abstract)
Navid Nobani, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica
- AAAI 2021
- Readers: Everyone

View all 14 publications

Co-Authors