4 papers
Integrating Deep Learning and Spatial Statistics in Marine Ecosystem Monitoring
Gian Mario Sangiovanni, Gianluca Mastrantonio, Daniele Ventura +2
In ecology, photogrammetry is a crucial method for efficiently collecting non-destructive samples of natural environments. When estimating the spatial distribution of animals, dete…
Modelling benthic animals in space and time using Bayesian Point Process with cross validation: the case of Holoturians
Daniele Poggio, Gian Mario Sangiovanni, Gianluca Mastrantonio +4
Understanding the spatial distribution of Holothurians is an essential task for ecosystem monitoring and sustainable management, particularly in the Mediterranean habitats. However…
BayVel: A Bayesian Framework for RNA Velocity Estimation in Single-Cell Transcriptomics
Elena Sabbioni, Enrico Bibbona, Gianluca Mastrantonio +1
RNA velocity is a model of gene expression dynamics designed to analyze single-cell RNA sequencing (scRNA-seq) data, and it has recently gained significant attention. However, desp…
Estimating the optimal time to perform a PET-PSMA exam in prostatectomized patients based on data from clinical practice
Martina Amongero, Gianluca Mastrantonio, Stefano De Luca +1
Prostatectomized patients are at risk of resurgence, and for this reason, during a follow-up period, they are monitored for Prostate Specific Antigen (PSA) growth, an indicator of…