Navid Nobani - RankMe

18 papers A* 3C 1Journal 10Unranked 4

Year	Rank	Type	Title / 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