Fabio Garcea

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 12

Top Topics

Drift Detection

Occlusion Handling

Top Venues

Publications

Pietro Recalcati, Fabio Garcea, Luca Piano, Fabrizio Lamberti, Lia Morra
Toward a Realistic Benchmark for Out-of-Distribution Detection. CoRR (2024)
Lia Morra, Antonio Santangelo, Pietro Basci, Luca Piano, Fabio Garcea, Fabrizio Lamberti, Massimo Leone
For a semiotic AI: Bridging computer vision and visual semiotics for computational observation of large scale facial image archives. CoRR (2024)
Francesco Dibitonto, Fabio Garcea, André Panisson, Alan Perotti, Lia Morra
HOLMES: HOLonym-MEronym based Semantic inspection for Convolutional Image Classifiers. CoRR (2024)
Luca Piano, Fabio Garcea, Andrea Cavallone, Ignacio Aparicio Vazquez, Lia Morra, Fabrizio Lamberti
Drift Detection for Black-Box Deep Learning Models. IT Prof. 26 (2) (2024)
Fabio Garcea, Alessio Serra, Fabrizio Lamberti, Lia Morra
Data augmentation for medical imaging: A systematic literature review. Comput. Biol. Medicine 152 (2023)
Pietro Recalcati, Fabio Garcea, Luca Piano, Fabrizio Lamberti, Lia Morra
Toward a Realistic Benchmark for Out-of-Distribution Detection. DSAA (2023)
Francesco Dibitonto, Fabio Garcea, André Panisson, Alan Perotti, Lia Morra
HOLMES: HOLonym-MEronym Based Semantic Inspection for Convolutional Image Classifiers. xAI (2) (2023)
Luca Piano, Fabio Garcea, Valentina Gatteschi, Fabrizio Lamberti, Lia Morra
Detecting Drift in Deep Learning: A Methodology Primer. IT Prof. 24 (5) (2022)
Fabio Garcea, Lia Morra, Fabrizio Lamberti
On the Use of Causal Models to Build Better Datasets. COMPSAC (2021)
Fabio Garcea, Sina Famouri, Davide Valentino, Lia Morra, Fabrizio Lamberti
iNNvestigate-GUI - Explaining Neural Networks Through an Interactive Visualization Tool. ANNPR (2020)
Fabio Garcea, Alessandro Cucco, Lia Morra, Fabrizio Lamberti
Object Tracking Through Residual and Dense LSTMs. ICIAR (2) (2020)
Fabio Garcea, Alessandro Cucco, Lia Morra, Fabrizio Lamberti
Object Tracking through Residual and Dense LSTMs. CoRR (2020)