iNNvestigate-GUI - Explaining Neural Networks Through an Interactive Visualization Tool. - Fabio Garcea; Sina Famouri; Davide Valentino; Lia Morra; Fabrizio Lamberti (ANNPR, 2020)

Object Tracking Through Residual and Dense LSTMs. - Fabio Garcea; Alessandro Cucco; Lia Morra; Fabrizio Lamberti (ICIAR (2), 2020)

On the Use of Causal Models to Build Better Datasets. - Fabio Garcea; Lia Morra; Fabrizio Lamberti (COMPSAC, 2021)

Detecting Drift in Deep Learning: A Methodology Primer. - Luca Piano; Fabio Garcea; Valentina Gatteschi; Fabrizio Lamberti; Lia Morra (IT Prof., 2022)

Toward a Realistic Benchmark for Out-of-Distribution Detection. - Pietro Recalcati; Fabio Garcea; Luca Piano; Fabrizio Lamberti; Lia Morra (DSAA, 2023)

HOLMES: HOLonym-MEronym Based Semantic Inspection for Convolutional Image Classifiers. - Francesco Dibitonto; Fabio Garcea; André Panisson; Alan Perotti; Lia Morra (xAI (2), 2023)

Data augmentation for medical imaging: A systematic literature review. - Fabio Garcea; Alessio Serra; Fabrizio Lamberti; Lia Morra (Comput. Biol. Medicine, 2023)

For a semiotic AI: Bridging computer vision and visual semiotics for computational observation of large scale facial image archives. - Lia Morra; Antonio Santangelo; Pietro Basci; Luca Piano; Fabio Garcea; Fabrizio Lamberti; Massimo Leone (Comput. Vis. Image Underst., 2024)

Drift Detection for Black-Box Deep Learning Models. - Luca Piano; Fabio Garcea; Andrea Cavallone; Ignacio Aparicio Vazquez; Lia Morra; Fabrizio Lamberti (IT Prof., 2024)