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Author

Navid Nobani

Observed names: NOBANI, NAVID, Nobani N., Nobani, Navid
Observed institution: University of Milano-Bicocca
ORCID: 0000-0001-9964-097X
Observed ORCID: 0000-0001-9964-097X
OpenAlex ID: A5040060014
A survey on XAI and natural language explanations
2022 · Erik Cambria, Lorenzo Malandri, et al. · Information Processing & Management · 131
MEET-LM: A method for embeddings evaluation for taxonomic data in the labour market
2020 · Lorenzo Malandri, Fabio Mercorio, et al. · Computers in Industry · 35
ConvXAI: a System for Multimodal Interaction with Any Black-box Explainer
2022 · Lorenzo Malandri, Fabio Mercorio, et al. · Cognitive Computation · 32
ContrXT: Generating contrastive explanations from any text classifier
2021 · Lorenzo Malandri, Fabio Mercorio, et al. · Information Fusion · 20
Embeddings Evaluation Using a Novel Measure of Semantic Similarity
2022 · Anna Giabelli, Lorenzo Malandri, et al. · Cognitive Computation · 16
XAI meets LLMs: A Survey of the Relation between Explainable AI and Large Language Models
2024 · Cambria, Erik, Malandri, Lorenzo, et al. · arXiv (Cornell University) · 14
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eXplainable AI for Word Embeddings: A Survey
2024 · Roberto Boselli, Simone D’Amico, et al. · Cognitive Computation · 13
TaxoRef: Embeddings Evaluation for AI-driven Taxonomy Refinement
2021 · Lorenzo Malandri, Fabio Mercorio, et al. · Lecture notes in computer science · 12
MEET: A Method for Embeddings Evaluation for Taxonomic Data
2020 · Lorenzo Malandri, Fabio Mercorio, et al. · IEEE ... International Conference on Data Mining workshops · 8
The Good, the Bad, and the Explainer: A Tool for Contrastive Explanations of Text Classifiers
2022 · Lorenzo Malandri, Fabio Mercorio, et al. · International Joint Conference on Artificial Intelligence · 6
Learning across modalities: a systematic survey of multimodal models for financial analysis
2026 · Simone D’Amico, Fabio Mercorio, et al. · Information Fusion · 5
Towards an Explainer-agnostic Conversational XAI
2021 · Navid Nobani, Fabio Mercorio, et al. · International Joint Conference on Artificial Intelligence · 5
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Participatory approach, dissemination, and implementation of research on aging: the Age-It experience
2025 · Carlos Chiatti, Marco Alberio, et al. · The Journals of Gerontology Series B · 3
Synthetic data generation: A tertiary study
2026 · Navid Nobani, Giovanni Officioso, et al. · Information Processing & Management · 1
Categorical variable encoding methods for tabular data: a benchmarking study
2026 · Federico Clerici, Navid Nobani · International Journal of Data Science and Analytics · 1
SkiLLens: Recognising and Mapping Novel Skills from Millions of Job Ads Across Europe Using Language Models
2026 · Alessia De Santo, Lorenzo Malandri, et al. · Conference of the European Chapter of the Association for Computational Linguistics · 1
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Contrastive Explanations of Text Classifiers as a Service
2022 · Lorenzo Malandri, Fabio Mercorio, et al. · 1
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Benchmarking Distributional Vector Similarity Measures: A Survey
2026 · Erik Cambria, Navid Nobani, et al. · Expert Systems
Human-Centred Approaches for Non-Expert Users in Explainable AI
2026 · Erik Cambria, Lorenzo Malandri, et al. · CRC Press eBooks
Using language models to extract and map emerging skills to the ESCO taxonomy
2026 · Alessia De Santo, Navid Nobani, et al. · Discover Artificial Intelligence
Learning Across Modalities: A Systematic Survey of Multimodal Models for Financial Analysis
2025 · Simone D'Amico, Fabio Mercorio, et al. · SSRN Electronic Journal
A Method for Taxonomy-Aware Embeddings Evaluation (Student Abstract)
2021 · Navid Nobani, Lorenzo Malandri, et al. · Proceedings of the AAAI Conference on Artificial Intelligence
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GRASP: Graph-based Mining of Scientific Papers
2021 · Navid Nobani, Mauro Pelucchi, et al. · International Conference on Data Science, Technology and Applications (DATA)
Consumer behavior regarding sustainable food consumption : an exploratory research based on the theory of planned behavior
2016 · Navid Nobani, Reza Pourabrisham, et al.
Works count: 26
Citation count: 304
H-index: 8
I10-index: 8
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