58 citations · 135 across the 7 of their papers we have counts for
7 papers
Margin Optimal Classification Trees
Federico D'Onofrio, Giorgio Grani, Marta Monaci +1
In recent years, there has been growing attention to interpretable machine learning models which can give explanatory insights on their behaviour. Thanks to their interpretability,…
PUSH: a primal heuristic based on Feasibility PUmp and SHifting
Giorgio Grani, Corrado Coppola, Valerio Agasucci
This work describes PUSH, a primal heuristic combining Feasibility Pump and Shifting. The main idea is to replace the rounding phase of the Feasibility Pump with a suitable adaptat…
AI-based Data Preparation and Data Analytics in Healthcare: The Case of Diabetes
Marianna Maranghi, Aris Anagnostopoulos, Irene Cannistraci +13
The Associazione Medici Diabetologi (AMD) collects and manages one of the largest worldwide-available collections of diabetic patient records, also known as the AMD database. This…
An actor-critic algorithm with policy gradients to solve the job shop scheduling problem using deep double recurrent agents
Marta Monaci, Valerio Agasucci, Giorgio Grani
There is a growing interest in integrating machine learning techniques and optimization to solve challenging optimization problems. In this work, we propose a deep reinforcement le…
A network-based analysis of disease modules from a taxonomic perspective
Giorgio Grani, Lorenzo Madeddu, Paola Velardi
Objective: Human-curated disease ontologies are widely used for diagnostic evaluation, treatment and data comparisons over time, and clinical decision support. The classification p…
Solving the single-track train scheduling problem via Deep Reinforcement Learning
Valerio Agasucci, Giorgio Grani, Leonardo Lamorgese
Every day, railways experience disturbances and disruptions, both on the network and the fleet side, that affect the stability of rail traffic. Induced delays propagate through the…
Multimodal Feature Fusion and Knowledge-Driven Learning via Experts Consult for Thyroid Nodule Classification
Danilo Avola, Luigi Cinque, Alessio Fagioli +3
Computer-aided diagnosis (CAD) is becoming a prominent approach to assist clinicians spanning across multiple fields. These automated systems take advantage of various computer vis…