3 papers
cs.NE2026
Multi-Objective Molecular Generation with Frequency-Controlled Evolutionary Dynamics
Elia Colleoni, Paolo Guida, Didier Barradas-Bautista +1
Molecule generation methods that leverage generative models have been successfully applied to drug discovery. However, they often require extensive pre-training, suffer statistical…
physics.flu-dyn2026
Real-time control of multiphase processes with learned operators
Paolo Guida, Didier Barradas-Bautista
Multiphase flows frequently occur naturally and in manufactured devices. Controlling such phenomena is extremely challenging due to the strongly non-linear dynamics, rapid phase tr…
cs.CV2026
ForamDeepSlice: A High-Accuracy Deep Learning Framework for Foraminifera Species Classification from 2D Micro-CT Slices
Abdelghafour Halimi, Ali Alibrahim, Didier Barradas-Bautista +2
This study presents a comprehensive deep learning pipeline for the automated classification of foraminifera species using 2D micro-CT slices derived from 3D scans. We curated a sci…