Programmed Inefficiencies in DSS-Supported Human Decision Making. - Federico Cabitza; Andrea Campagner; Davide Ciucci; Andrea Seveso (MDAI, 2019)

Developing a Machine Learning Model for Predicting Postnatal Growth in Very Low Birth Weight Infants. - Andrea Seveso; Valentina Bozzetti; Paolo Tagliabue; Maria Luisa Ventura; Federico Cabitza (HEALTHINF, 2020)

eXDiL: A Tool for Classifying and eXplaining Hospital Discharge Letters. - Fabio Mercorio; Mario Mezzanzanica; Andrea Seveso (CD-MAKE, 2020)

NEO: A Tool for Taxonomy Enrichment with New Emerging Occupations. - Anna Giabelli; Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica; Andrea Seveso (ISWC (2), 2020)

Ordinal labels in machine learning: a user-centered approach to improve data validity in medical settings. - Andrea Seveso; Andrea Campagner; Davide Ciucci; Federico Cabitza (BMC Medical Informatics Decis. Mak., 2020)

NEO: A System for Identifying New Emerging Occupation from Job Ads. - Anna Giabelli; Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica; Andrea Seveso (AAAI, 2021)

Skills2Job: A Recommender System that Encodes Job Offer Embeddings on Graph Databases (Student Abstract). - Andrea Seveso; Anna Giabelli; Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica (AAAI, 2021)

Skills2Graph: Processing million Job Ads to face the Job Skill Mismatch Problem. - Anna Giabelli; Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica; Andrea Seveso (IJCAI, 2021)

A Human-AI Teaming Approach for Incremental Taxonomy Learning from Text. - Andrea Seveso; Fabio Mercorio; Mario Mezzanzanica (IJCAI, 2021)

Skills2Job: A recommender system that encodes job offer embeddings on graph databases. - Anna Giabelli; Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica; Andrea Seveso (Appl. Soft Comput., 2021)

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)

ContrXT: Generating contrastive explanations from any text classifier. - Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica; Navid Nobani; Andrea Seveso (Inf. Fusion, 2022)

Leveraging Group Contrastive Explanations for Handling Fairness. - Alessandro Castelnovo; Nicole Inverardi; Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica; Andrea Seveso (xAI (3), 2023)

BEEP - BEst DrivEr's License Performer: A CALAMITA Challenge. - Fabio Mercorio; Daniele Potertì; Antonio Serino; Andrea Seveso (CLiC-it, 2024)

Augmenting XAI with LLMs: A Case Study in Banking Marketing Recommendation. - Alessandro Castelnovo; Roberto Depalmas; Fabio Mercorio; Nicolò Mombelli; Daniele Potertì; Antonio Serino; Andrea Seveso; Salvatore Sorrentino; Laura Viola (xAI (1), 2024)

Disce aut Deficere: Evaluating LLMs Proficiency on the INVALSI Italian Benchmark. - Fabio Mercorio; Mario Mezzanzanica; Daniele Potertì; Antonio Serino; Andrea Seveso (CoRR, 2024)

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)

Model-contrastive explanations through symbolic reasoning. - Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica; Andrea Seveso (Decis. Support Syst., 2024)

Explainable AI for Text Classification: Lessons from a Comprehensive Evaluation of Post Hoc Methods. - Mirko Cesarini; Lorenzo Malandri; Filippo Pallucchini; Andrea Seveso; Frank Xing (Cogn. Comput., 2024)

ITALIC: An Italian Culture-Aware Natural Language Benchmark. - Andrea Seveso; Daniele Potertì; Edoardo Federici; Mario Mezzanzanica; Fabio Mercorio (NAACL (Long Papers), 2025)

JobSet: Synthetic Job Advertisements Dataset for Labour Market Intelligence. - Samuele Colombo; Simone D'Amico; Lorenzo Malandri; Fabio Mercorio; Andrea Seveso (SAC, 2025)

Designing Role Vectors to Improve LLM Inference Behaviour. - Daniele Potertì; Andrea Seveso; Fabio Mercorio (CoRR, 2025)

SAFE: A Sparse Autoencoder-Based Framework for Robust Query Enrichment and Hallucination Mitigation in LLMs. - Samir Abdaljalil; Filippo Pallucchini; Andrea Seveso; Hasan Kurban; Fabio Mercorio; Erchin Serpedin (CoRR, 2025)