3 papers
cs.LG2026
A Data-Driven Approach to Support Clinical Renal Replacement Therapy
Alice Balboni, Luis Escobar, Andrea Manno +5
This study investigates a data-driven machine learning approach to predict membrane fouling in critically ill patients undergoing Continuous Renal Replacement Therapy (CRRT). Using…
cs.LG2025
Binary Kernel Logistic Regression: a sparsity-inducing formulation and a convergent decomposition training algorithm
Antonio Consolo, Andrea Manno, Edoardo Amaldi
Kernel logistic regression (KLR) is a widely used supervised learning method for binary and multi-class classification, which provides estimates of the conditional probabilities of…
cs.LG2025
Soft regression trees: a model variant and a decomposition training algorithm
Antonio Consolo, Edoardo Amaldi, Andrea Manno
Decision trees are widely used for classification and regression tasks in a variety of application fields due to their interpretability and good accuracy. During the past decade, g…