GX-HUI: Global Explanations of AI Models based on High-Utility Itemsets. - Davide Napolitano; Luca Cagliero (COMPSAC, 2023)

Learning Confidence Intervals for Feature Importance: A Fast Shapley-based Approach. - Davide Napolitano; Lorenzo Vaiani; Luca Cagliero (EDBT/ICDT Workshops, 2023)

PoliTo at MULTI-Fake-DetectiVE: Improving FND-CLIP for Multimodal Italian Fake News Detection. - Lorenzo D'Amico; Davide Napolitano; Lorenzo Vaiani; Luca Cagliero (EVALITA, 2023)

Enhancing BERT-Based Visual Question Answering through Keyword-Driven Sentence Selection. - Davide Napolitano; Lorenzo Vaiani; Luca Cagliero (CoRR, 2023)

On Leveraging Multi-Page Element Relations in Visually-Rich Documents. - Davide Napolitano; Lorenzo Vaiani; Luca Cagliero (COMPSAC, 2024)

Evaluating the Reliability of Shapley Value Estimates: An Interval-Based Approach. - Davide Napolitano; Luca Cagliero (HI-AI@KDD, 2024)

BONES: a Benchmark fOr Neural Estimation of Shapley values. - Davide Napolitano; Luca Cagliero (CoRR, 2024)

Efficient Neural Network-Based Estimation of Interval Shapley Values. - Davide Napolitano; Lorenzo Vaiani; Luca Cagliero (IEEE Trans. Knowl. Data Eng., 2024)