Andrea Seveso

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 16

Top Topics

Graph Databases

Top Venues

BMC Medical Informatics Decis. Mak.

Publications

Fabio Mercorio, Mario Mezzanzanica, Daniele Potertì, Antonio Serino, Andrea Seveso
Disce aut Deficere: Evaluating LLMs Proficiency on the INVALSI Italian Benchmark. CoRR (2024)
Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Andrea Seveso
Model-contrastive explanations through symbolic reasoning. Decis. Support Syst. 176 (2024)
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)
Alessandro Castelnovo, Nicole Inverardi, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Andrea Seveso
Leveraging Group Contrastive Explanations for Handling Fairness. xAI (3) (2023)
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)
Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Andrea Seveso
Skills2Job: A recommender system that encodes job offer embeddings on graph databases. Appl. Soft Comput. 101 (2021)
Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Andrea Seveso
Skills2Graph: Processing million Job Ads to face the Job Skill Mismatch Problem. IJCAI (2021)
Andrea Seveso, Fabio Mercorio, Mario Mezzanzanica
A Human-AI Teaming Approach for Incremental Taxonomy Learning from Text. IJCAI (2021)
Andrea Seveso, Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica
Skills2Job: A Recommender System that Encodes Job Offer Embeddings on Graph Databases (Student Abstract). AAAI (2021)
Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Andrea Seveso
NEO: A System for Identifying New Emerging Occupation from Job Ads. AAAI (2021)
Andrea Seveso, Andrea Campagner, Davide Ciucci, Federico Cabitza
Ordinal labels in machine learning: a user-centered approach to improve data validity in medical settings. BMC Medical Informatics Decis. Mak. (5) (2020)
Andrea Seveso, Valentina Bozzetti, Paolo Tagliabue, Maria Luisa Ventura, Federico Cabitza
Developing a Machine Learning Model for Predicting Postnatal Growth in Very Low Birth Weight Infants. HEALTHINF (2020)
Fabio Mercorio, Mario Mezzanzanica, Andrea Seveso
eXDiL: A Tool for Classifying and eXplaining Hospital Discharge Letters. CD-MAKE (2020)
Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Andrea Seveso
NEO: A Tool for Taxonomy Enrichment with New Emerging Occupations. ISWC (2) (2020)
Federico Cabitza, Andrea Campagner, Davide Ciucci, Andrea Seveso
Programmed Inefficiencies in DSS-Supported Human Decision Making. MDAI (2019)