Navid Nobani

18 papers A* 3C 1Journal 10Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Categorical variable encoding methods for tabular data: a benchmarking study.
Int. J. Data Sci. Anal.
Federico Clerici, Navid Nobani
2026 J jnl
Learning across modalities: a systematic survey of multimodal models for financial analysis.
Inf. Fusion
Simone D'Amico, Fabio Mercorio, Navid Nobani, Giancarlo Sperlì, Carmine Ventre
2026 — conf
SkiLLens: Recognising and Mapping Novel Skills from Millions of Job Ads Across Europe Using Language Models.
EACL (Industry Track)
Alessia De Santo, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani
2026 J jnl
Synthetic data generation: A tertiary study.
Inf. Process. Manag.
Navid Nobani, Giovanni Officioso, Filippo Pallucchini, Giancarlo Sperlì, Fabio Mercorio
2025 J jnl
eXplainable AI for Word Embeddings: A Survey.
Cogn. Comput.
Roberto Boselli, Simone D'Amico, Navid Nobani
2024 — conf
An approach to Evaluative AI through Large Language Models.
MAI-XAI@ECAI
Andrea Ermellino, Lorenzo Malandri, Fabio Mercorio, Navid Nobani, Antonio Serino
2024 J jnl
XAI meets LLMs: A Survey of the Relation between Explainable AI and Large Language Models.
CoRR
Erik Cambria, Lorenzo Malandri, Fabio Mercorio, Navid Nobani, Andrea Seveso
2023 J jnl
A survey on XAI and natural language explanations.
Inf. Process. Manag.
Erik Cambria, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani
2023 J jnl
ConvXAI: a System for Multimodal Interaction with Any Black-box Explainer.
Cogn. Comput.
Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani
2022 J jnl
ContrXT: Generating contrastive explanations from any text classifier.
Inf. Fusion
Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani, Andrea Seveso
2022 J jnl
Embeddings Evaluation Using a Novel Measure of Semantic Similarity.
Cogn. Comput.
Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani
2022 A* conf
The Good, the Bad, and the Explainer: A Tool for Contrastive Explanations of Text Classifiers.
IJCAI
Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani, Andrea Seveso
2021 A* conf
A Method for Taxonomy-Aware Embeddings Evaluation (Student Abstract).
AAAI
Navid Nobani, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica
2021 C conf
GRASP: Graph-based Mining of Scientific Papers.
DATA
Navid Nobani, Mauro Pelucchi, Matteo Perico, Andrea Scrivanti, Alessandro Vaccarino
2021 J jnl
MEET-LM: A method for embeddings evaluation for taxonomic data in the labour market.
Comput. Ind.
Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani
2021 — conf
TaxoRef: Embeddings Evaluation for AI-driven Taxonomy Refinement.
ECML/PKDD (3)
Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani
2021 A* conf
Towards an Explainer-agnostic Conversational XAI.
IJCAI
Navid Nobani, Fabio Mercorio, Mario Mezzanzanica
2020 — conf
MEET: A Method for Embeddings Evaluation for Taxonomic Data.
ICDM (Workshops)
Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani