FAGLIONI, FRANCESCO
FAGLIONI, FRANCESCO
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Risultati 1 - 9 di 9 (tempo di esecuzione: 0.017 secondi).
Chamfer distance for non-linear registration of Triply Periodic Minimal Surface lattices
2025 Lapenna, M.; Faglioni, F.; Chand, K.; Hejazi, B.; Fioresi, R.; Bruno, G.
Temperature-based pruning for input features in Graph Neural Networks
2025 Lapenna, Michela; Faglioni, Francesco; Fioresi, Rita; Bruno, Giovanni
Vision GNN (ViG) architecture for a fine-tuned segmentation of a complex Al–Si metal matrix composite XCT volume
2025 Lapenna, M.; Tsamos, A.; Faglioni, F.; Fioresi, R.; Zanchetta, F.; Bruno, G.
A Complete Strategy to Achieve High Precision Automatic Segmentation of Challenging Experimental X-Ray Computed Tomography Data Using Low-Resemblance Synthetic Training Data
2024 Tsamos, A.; Evsevleev, S.; Fioresi, R.; Faglioni, F.; Bruno, G.
Geometric deep learning for enhanced quantitative analysis of microstructures in X-ray computed tomography data
2024 Lapenna, M.; Tsamos, A.; Faglioni, F.; Fioresi, R.; Zanchetta, F.; Bruno, G.
A novel iterative algorithm to improve segmentations with deep convolutional neural networks trained with synthetic X-ray computed tomography data (i.S.Sy.Da.T.A)
2023 Tsamos, A.; Evsevleev, S.; Fioresi, R.; Faglioni, F.; Bruno, G.
Geometric Deep Learning: a temperature based analysis of graph neural networks.
2023 M. Lapenna, F. Faglioni, F. Zanchetta, R.Fioresi
Thermodynamics modeling of deep learning systems for a temperature based filter pruning technique
2023 Lapenna, M.; Faglioni, F.; Fioresi, R.
On the Thermodynamic Interpretation of Deep Learning Systems
2021 Fioresi R.; Faglioni F.; Morri F.; Squadrani L.