18 citations · 70 across the 18 of their papers we have counts for
5 papers · 1 filter
A graph neural network-based model with Out-of-Distribution Robustness for enhancing Antiretroviral Therapy Outcome Prediction for HIV-1
Giulia Di Teodoro, Federico Siciliano, Valerio Guarrasi +6
Predicting the outcome of antiretroviral therapies (ART) for HIV-1 is a pressing clinical challenge, especially when the ART includes drugs with limited effectiveness data. This sc…
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…
CMA Light: a novel Minibatch Algorithm for large-scale non convex finite sum optimization
Corrado Coppola, Giampaolo Liuzzi, Laura Palagi
The supervised training of a deep neural network on a given dataset consists in the unconstrained minimization of the finite sum of continuously differentiable functions, commonly…
A computational study of off-the-shelf MINLP solvers on a benchmark set of congested capacitated facility location problems
Pasquale Avella, Alice Calamita, Laura Palagi
This paper analyzes the performance of five well-known off-the-shelf optimization solvers on a set of congested capacitated facility location problems formulated as mixed-integer c…
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…