18 citations · 24 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 6 cited
Incorporating temporal dynamics of mutations to enhance the prediction capability of antiretroviral therapy's outcome for HIV-1
Giulia Di Teodoro, Martin Pirkl, Francesca Incardona +6
Motivation: In predicting HIV therapy outcomes, a critical clinical question is whether using historical information can enhance predictive capabilities compared with current or la…
math.OC2023★ 18 cited
Unboxing Tree Ensembles for interpretability: a hierarchical visualization tool and a multivariate optimal re-built tree
Giulia Di Teodoro, Marta Monaci, Laura Palagi
The interpretability of models has become a crucial issue in Machine Learning because of algorithmic decisions' growing impact on real-world applications. Tree ensemble methods, su…