Fabio Garcea

According to our database, Fabio Garcea authored at least 9 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

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

2023

Data augmentation for medical imaging: A systematic literature review.

Fabio Garcea, Alessio Serra, Fabrizio Lamberti, Lia Morra

Comput. Biol. Medicine, 2023

HOLMES: HOLonym-MEronym Based Semantic Inspection for Convolutional Image Classifiers.

Francesco Dibitonto, Fabio Garcea, André Panisson, Alan Perotti, Lia Morra

Proceedings of the Explainable Artificial Intelligence, 2023

Toward a Realistic Benchmark for Out-of-Distribution Detection.

Pietro Recalcati, Fabio Garcea, Luca Piano, Fabrizio Lamberti, Lia Morra

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

2022

Detecting Drift in Deep Learning: A Methodology Primer.

Luca Piano, Fabio Garcea, Valentina Gatteschi, Fabrizio Lamberti, Lia Morra

IT Prof., 2022

2021

On the Use of Causal Models to Build Better Datasets.

Fabio Garcea, Lia Morra, Fabrizio Lamberti

Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021

2020

Object Tracking Through Residual and Dense LSTMs.

Fabio Garcea, Alessandro Cucco, Lia Morra, Fabrizio Lamberti

Proceedings of the Image Analysis and Recognition - 17th International Conference, 2020

iNNvestigate-GUI - Explaining Neural Networks Through an Interactive Visualization Tool.

Fabio Garcea, Sina Famouri, Davide Valentino, Lia Morra, Fabrizio Lamberti

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2020