5 citations · 5 across the 3 of their papers we have counts for
4 papers
The surprising simplicity of forecasting quantum chaotic many-body dynamics
Francesco Perciavalle, Agostino Gallo, Francesco Plastina +3
Accurately simulating chaotic quantum many-body dynamics remains a major computational challenge for classical methods, due to the rapid buildup and spatial spreading of entangleme…
Graph RAG as Human Choice Model: Building a Data-Driven Mobility Agent with Preference Chain
Kai Hu, Parfait Atchade-Adelomou, Carlo Adornetto +5
Understanding human behavior in urban environments is a crucial field within city sciences. However, collecting accurate behavioral data, particularly in newly developed areas, pos…
μ-Net: A Deep Learning-Based Architecture for μ-CT Segmentation
Pierangela Bruno, Edoardo De Rose, Carlo Adornetto +12
X-ray computed microtomography (μ-CT) is a non-destructive technique that can generate high-resolution 3D images of the internal anatomy of medical and biological samples. These im…
A New Deep Learning and XAI-Based Algorithm for Features Selection in Genomics
Carlo Adornetto, Gianluigi Greco
In the field of functional genomics, the analysis of gene expression profiles through Machine and Deep Learning is increasingly providing meaningful insight into a number of diseas…