activity
20222026
most citedImproving Matrix-vector Multiplication via Lossless Grammar-Compressed Matrices

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2026

LLM-Orchestrated Conformance Checking in Stroke Care Without Computer-Interpretable Guidelines

Giorgio Leonardi, Stefania Montani, Manuel Striani +2

Objective: Conformance checking in healthcare seeks to assess whether patient care pathways adhere to clinical guidelines. However, its practical application often depends on the a…

cs.LG2025

AutoML-Med: A Framework for Automated Machine Learning in Medical Tabular Data

Riccardo Francia, Maurizio Leone, Giorgio Leonardi +4

Medical datasets are typically affected by issues such as missing values, class imbalance, a heterogeneous feature types, and a high number of features versus a relatively small nu…

cs.AI2024

Towards an educational tool for supporting neonatologists in the delivery room

Giorgio Leonardi, Clara Maldarizzi, Stefania Montani +2

Nowadays, there is evidence that several factors may increase the risk, for an infant, to require stabilisation or resuscitation manoeuvres at birth. However, this risk factors are…

cs.HC2023

NRTS: A Client-Server architecture for supporting data recording, transmission and evaluation of multidisciplinary teams during the neonatal resuscitation simulation scenario

Manuel Striani

In this technical report, we describe Neonatal Resuscitation Training Simulator (NRTS), an Android mobile app designed to support medical experts to input, transmit and record data…

cs.DS2022★ 1 cited

Improving Matrix-vector Multiplication via Lossless Grammar-Compressed Matrices

Paolo Ferragina, Travis Gagie, Dominik Köppl +4

As nowadays Machine Learning (ML) techniques are generating huge data collections, the problem of how to efficiently engineer their storage and operations is becoming of paramount…