Development of Generative Machine Learning Models for the Design of Materials for ...
Molecular property prediction with high accuracy: a semi-supervised learning approach
Analysis and refinement of machine learning methods for blood vessel morphometry
Graph-based and transfer learning models for times series representation
Study of the String-Averaging algorithmic topology for Stochastic Gradient methods...
Explainability in Graph Neural Networks for Autism Assessment Using fMRI Analysis
Incorporating contrastive learning in image segmentation by dynamic trees