activity
20222025
most citedMultimodal and multicontrast image fusion via deep generative models

39 citations · 43 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CV2025

Enhancing Visual Sentiment Analysis via Semiotic Isotopy-Guided Dataset Construction

Marco Blanchini, Giovanna Maria Dimitri, Benedetta Tondi +2

Visual Sentiment Analysis (VSA) is a challenging task due to the vast diversity of emotionally salient images and the inherent difficulty of acquiring sufficient data to capture th…

cs.CV2025

Integrating Background Knowledge in Medical Semantic Segmentation with Logic Tensor Networks

Luca Bergamin, Giovanna Maria Dimitri, Fabio Aiolli

Semantic segmentation is a fundamental task in medical image analysis, aiding medical decision-making by helping radiologists distinguish objects in an image. Research in this fiel…

cs.LG2025

Toward Explainable Offline RL: Analyzing Representations in Intrinsically Motivated Decision Transformers

Leonardo Guiducci, Antonio Rizzo, Giovanna Maria Dimitri

Elastic Decision Transformers (EDTs) have proved to be particularly successful in offline reinforcement learning, offering a flexible framework that unifies sequence modeling with…

q-bio.OT2024

Mining comorbidities: a brief survey

Giovanna Maria Dimitri

In this manuscript we will present a brief overview of the comorbidity concept. We will start by laying its foundations and its definitions and then describing the role that machin…

cs.SI2023★ 1 cited

Impact of the Covid 19 outbreaks on the italian twitter vaccination debat: a network based analysis

Veronica Lachi, Giovanna Maria Dimitri, Alessandro Di Stefano +3

Vaccine hesitancy, or the reluctance to be vaccinated, is a phenomenon that has recently become particularly significant, in conjunction with the vaccination campaign against COVID…

cs.CV2023

A One-Class Classifier for the Detection of GAN Manipulated Multi-Spectral Satellite Images

Lydia Abady, Giovanna Maria Dimitri, Mauro Barni

The highly realistic image quality achieved by current image generative models has many academic and industrial applications. To limit the use of such models to benign applications…

cs.LG2023★ 39 cited

Multimodal and multicontrast image fusion via deep generative models

Giovanna Maria Dimitri, Simeon Spasov, Andrea Duggento +3

Recently, it has become progressively more evident that classic diagnostic labels are unable to reliably describe the complexity and variability of several clinical phenotypes. Thi…

cs.SI2023

Is Facebook regionally a small world network?

Giovanna Maria Dimitri

The analysis of social networks, can lead to important discoveries concerning society and trends. Can in fact imply the discovery of several new aspects of social behavior, as well…

physics.ao-ph2022★ 1 cited

A Multi-Modal Machine Learning Approach to Detect Extreme Rainfall Events in Sicily

Eleonora Vitanza, Giovanna Maria Dimitri, Chiara Mocenni

In 2021 300 mm of rain, nearly half the average annual rainfall, fell near Catania (Sicily island, Italy). Such events took place in just a few hours, with dramatic consequences on…

cs.CV2022★ 1 cited

Which country is this picture from? New data and methods for DNN-based country recognition

Omran Alamayreh, Giovanna Maria Dimitri, Jun Wang +2

Recognizing the country where a picture has been taken has many potential applications, such as identification of fake news and prevention of disinformation campaigns. Previous wor…

q-bio.QM2022★ 1 cited

Modular multi-source prediction of drug side-effects with DruGNN

Pietro Bongini, Franco Scarselli, Monica Bianchini +3

Drug Side-Effects (DSEs) have a high impact on public health, care system costs, and drug discovery processes. Predicting the probability of side-effects, before their occurrence,…