Learning and Detecting Stuttering Disorders. - Fabio Fassetti; Ilaria Fassetti; Simona Nisticò (AIAI, 2019)

Local Interpretable Classifier Explanations with Self-generated Semantic Features. - Fabrizio Angiulli; Fabio Fassetti; Simona Nisticò (DS, 2021)

Finding Local Explanations Through Masking Models. - Fabrizio Angiulli; Fabio Fassetti; Simona Nisticò (IDEAL, 2021)

Outlier Explanation Through Masking Models. - Fabrizio Angiulli; Fabio Fassetti; Simona Nisticò; Luigi Palopoli 001 (ADBIS, 2022)

A Semi-automatic Data Generator for Query Answering. - Fabrizio Angiulli; Alessandra Del Prete; Fabio Fassetti; Simona Nisticò (ISMIS, 2022)

Audio Super-Resolution via Vision Transformer. - Simona Nisticò; Luigi Palopoli 001; Adele Pia Romano (ISMIS, 2022)

Towards Reliable Machine Learning. - Simona Nisticò (ADBIS (Short Papers), 2023)

Counterfactuals Explanations for Outliers via Subspaces Density Contrastive Loss. - Fabrizio Angiulli; Fabio Fassetti; Simona Nisticò; Luigi Palopoli 001 (DS, 2023)

Large Language Models-Based Local Explanations of Text Classifiers. - Fabrizio Angiulli; Francesco De Luca; Fabio Fassetti; Simona Nisticó (DS (1), 2024)

Exploiting Outlier Explanation to Unveil Key-aspects of High Green Comparative Advantage Nations. - Fabrizio Angiulli; Fabio Fassetti; Simona Nisticò; Luigi Palopoli 001 (GreenAI@AI*IA, 2024)

A Clustering-based Approach for Interpreting Black-box Models. - Luca Ferragina; Simona Nisticò (SEBD, 2024)

Explaining outliers and anomalous groups via subspace density contrastive loss. - Fabrizio Angiulli; Fabio Fassetti; Simona Nisticò; Luigi Palopoli 001 (Mach. Learn., 2024)

Explaining anomalies through semi-supervised Autoencoders. - Fabrizio Angiulli; Fabio Fassetti; Luca Ferragina; Simona Nisticò (Array, 2025)

Explaining evolving outliers for uncovering key aspects of the green comparative advantage. - Fabrizio Angiulli; Fabio Fassetti; Simona Nisticò; Luigi Palopoli 001 (Array, 2025)

Improving local interpretable classifier explanations exploiting self-generated semantic features. - Fabrizio Angiulli; Fabio Fassetti; Simona Nisticò (Neural Comput. Appl., 2025)