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2020 – today
- 2024
[j5]Mirko Cesarini, Lorenzo Malandri, Filippo Pallucchini, Andrea Seveso, Frank Xing:
Explainable AI for Text Classification: Lessons from a Comprehensive Evaluation of Post Hoc Methods. Cogn. Comput. 16(6): 3077-3095 (2024)- [j4]Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Andrea Seveso:
Model-contrastive explanations through symbolic reasoning. Decis. Support Syst. 176: 114040 (2024) - [c11]Alessandro Castelnovo
, Roberto Depalmas, Fabio Mercorio, Nicolò Mombelli, Daniele Potertì, Antonio Serino, Andrea Seveso, Salvatore Sorrentino, Laura Viola:
Augmenting XAI with LLMs: A Case Study in Banking Marketing Recommendation. xAI (1) 2024: 211-229 - [i2]Fabio Mercorio, Mario Mezzanzanica, Daniele Potertì, Antonio Serino, Andrea Seveso:
Disce aut Deficere: Evaluating LLMs Proficiency on the INVALSI Italian Benchmark. CoRR abs/2406.17535 (2024) - [i1]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 abs/2407.15248 (2024) - 2023
- [c10]Alessandro Castelnovo, Nicole Inverardi, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Andrea Seveso:
Leveraging Group Contrastive Explanations for Handling Fairness. xAI (3) 2023: 332-345 - 2022
- [j3]Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani, Andrea Seveso:
ContrXT: Generating contrastive explanations from any text classifier. Inf. Fusion 81: 103-115 (2022) - [c9]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: 5936-5939 - 2021
- [j2]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: 107049 (2021) - [c8]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: 15885-15886 - [c7]Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Andrea Seveso:
NEO: A System for Identifying New Emerging Occupation from Job Ads. AAAI 2021: 16035-16037 - [c6]Andrea Seveso, Fabio Mercorio, Mario Mezzanzanica:
A Human-AI Teaming Approach for Incremental Taxonomy Learning from Text. IJCAI 2021: 4917-4918 - [c5]Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Andrea Seveso:
Skills2Graph: Processing million Job Ads to face the Job Skill Mismatch Problem. IJCAI 2021: 4984-4987 - 2020
- [j1]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. 20-S(5): 142 (2020) - [c4]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: 490-497 - [c3]Fabio Mercorio, Mario Mezzanzanica, Andrea Seveso:
eXDiL: A Tool for Classifying and eXplaining Hospital Discharge Letters. CD-MAKE 2020: 159-172 - [c2]Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Andrea Seveso:
NEO: A Tool for Taxonomy Enrichment with New Emerging Occupations. ISWC (2) 2020: 568-584
2010 – 2019
- 2019
- [c1]Federico Cabitza, Andrea Campagner, Davide Ciucci, Andrea Seveso:
Programmed Inefficiencies in DSS-Supported Human Decision Making. MDAI 2019: 201-212
Coauthor Index
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