M. Donati, M. Olivelli, R. Giovannini and L. Fanucci, "RT-PROFASY: Enhancing the Well-being, Safety and Productivity of Workers by Exploiting Wearable Sensors and Artificial Intelligence,"2022 IEEE International Workshop on Metrology for Industry 4.0

This paper presents the concept and the system architecture of the ICT platform developed in the framework of the RT-PROFASY project, which aims to monitor the well-being of workers by means of wearable sensors in order to estimate in real-time their...

M. Olivelli, M. Donati, B. Alessio and L. Fanucci, "Enabling the E@syCare Telemedicine Platform with Push Notification with End-to-end Acknowledgment," 2022 IEEE PerCom Workshops

Telemedicine is becoming increasingly important in recent years, especially in chronic diseases treatment. Thanks to these platforms, it is possible to assist patients remotely, being continuously monitored according to personalized care plans as if...

S. Panicacci, A. Ruiu, A. Lubrano, M. Donati, M. Olivelli and L. Fanucci, "SatNav E@syCare Telemedicine Platform in the Management of Covid-19 Patients: Field Trial Results," 2022 IEEE PerCom Workshops

In the framework of the Covid-19 pandemic, digital technology has played a key role in the healthcare sector, becoming essential for improving the quality of care and well-being of individuals and populations. In this scenario, telemedicine platforms...

Marco Pettorali, Francesca Righetti and Carlo Vallati, “Mobile6TiSCH: a Simulator for 6TiSCH-based Industrial IoT Networks with Mobile Nodes”, The 18th International Conference on Mobility, Sensing and Networking (MSN 2022)

Abstract: The Internet Engineering Task Force (IETF) has defined the 6TiSCH architecture to enable the Industrial Internet of Things (IIoT). While many industrial applications involve mobile devices (e.g., mobile robots or wearable devices carried by...

N. Messina, D.A. Coccomini, A. Esuli, F. Falchi: “Transformer-Based Multi-modal Proposal and Re-Rank for Wikipedia Image-Caption Matching”, Wikipedia and Multi-Modal & Multi-Lingual Research

With the increased accessibility of web and online encyclopedias, the amount of data to manage is constantly increasing. In Wikipedia, for example, there are millions of pages written in multiple languages. These pages contain images that often lack...

Guarnera, L.; Giudice, O.; Guarnera, F.; Ortis, A.; Puglisi, G.; Paratore, A.; Bui, L.M.Q.; Fontani, M.; Coccomini, D.A.; Caldelli, R.; Falchi, F.; Gennaro, C.; Messina, N.; Amato, G. et al. The Face Deepfake Detection Challenge, J. of Imaging

Multimedia data manipulation and forgery has never been easier than today, thanks to the power of Artificial Intelligence (AI). AI-generated fake content, commonly called Deepfakes, have been raising new issues and concerns, but also new challenges for...

E. Iadanza, R. Fabbri, F. Goretti, G. Nardo, E. Niccolai, C. Bendotti, A. Amedei ,“Machine learning for analysis of gene expression data in fast-and slow-progressing amyotrophic lateral sclerosis murine models”, Biocybernetics and Biomedical Engineer

L. Frassineti, C. Manfredi, D. Ermini, R. Fabbri, B. Olmi, A. Lanatà: “Analysis of Brain-Heart Interactions in newborns with and without seizures using the Convergent Cross Mapping approach”, 44th Annual Interna-tional Conference of the IEEE Engineer

R. Fabbri, S. Rizzo, E. Botte, A. Ahluwalia, C. Magliaro: “A novel computational platform for mimicking neural network activity in advanced in vitro neural constructs”, Forum of Federation of European Neuroscience Soci-eties (FENS), July 2022

L. Leonardi, G. Lettieri, P. Perazzo, S. Saponara: "On the Hardware-Software Integration in Cryptographic Accelerators for Industrial IoT". Applied Sciences 2022

Industrial Internet of Things (IIoT) applies IoT technologies on industrial automation systems with the aims of providing remote sensing, remote control, self-organization and self-maintenance. Since IIoT systems often constitute a critical...

M. Mazza, S. Cresci, M. Avvenuti, W. Quattrociocchi, and M. Tesconi, “RTbust: Exploiting temporal patterns for botnet detection on twitter,” in Proceedings of the 10th ACM Conference on Web Science, 2019

Within OSNs, many of our supposedly online friends may instead be fake accounts called social bots, part of large groups that purposely re-share targeted content. Here, we study retweeting behaviors on Twitter, with the ultimate goal of detecting...

L. Porfilio, M. Mazza, S. Cresci, M. Avvenuti, M. Tesconi, "Characterizing different actors in IOs through a large-scale quantitative analysis", Understanding Information Operations with Twitter Data: a Workshop Series, 2020

Information or influence operations have been used to manipulate crowds and often involve mass, coordinated inauthentic behaviors in social media. Although these operations can take many different forms and aim at different purposes, to succeed,...

M. Mazza, G. Cola, "The role of Twitter fraudulent accounts during the COVID-19 pandemic: a case study." The 1st International Workshop on Information Disorder: Disinformation and Coordinated Inauthentic Behavior (DISINFO’20), 2020

The use of social media, like Twitter or Facebook, as a means to gather information on disparate subjects has increased dramatically over the last few years. A growing number of users rely on such applications even to retrieve emergency updates, like...

M. Mazza, M. Avvenuti, S. Cresci, and M. Tesconi, “Investigating the difference between trolls, social bots, and humans on Twitter,” Computer Communications, vol. 196, pp. 23–36, 2022

It has become apparent that human accounts are not the sole actors in the social media scenario. The expanding role of social media in the consumption and diffusion of information has been accompanied by attempts to influence public opinion....

M. Mazza, G. Cola, and M. Tesconi, “Ready-to-(ab)use: From fake account trafficking to coordinated inauthentic behavior on Twitter,” Online Social Networks and Media, vol. 31, no. 100224, p. 100224, 2022

Fake accounts are the primary means for misuse and abuse of social media platforms, giving rise to coordinated inauthentic behaviors. Despite ongoing efforts to limit their exploitation, ready-to-use fake accounts can be found for sale on several...

P. Zola, G. Cola, M. Mazza and M. Tesconi, "Interaction Strength Analysis to Model Retweet Cascade Graphs", Applied Sciences, vol. 10, no. 23, p. 8394, 2020

Tracking information diffusion is a non-trivial task and it has been widely studied across different domains and platforms. The advent of social media has led to even more challenges, given the higher speed of information propagation and the growing...

E. Giusti, A. Kumar, F. Mancuso, S. Ghio and M. Martorella, "Fully polarimetric multi-aspect 3D InISAR," 2022 23rd International Radar Symposium (IRS), 2022, pp. 184-189.

This article proposes a fully polarimetric 3D InISAR algorithm. The use of radar polarimetry is proposed in this paper to increase the performance of the 3D InISAR algorithm. Polarimetry is used both to improve the scatterer extraction algorithm and to...

A. Kumar, E. Giusti, F. Mancuso and M. Martorella, "Polarimetric Interferometric ISAR Based 3-D Imaging of Non-Cooperative Target," IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022, pp. 385-388.

In this work, a Polarimetric Interferometric Inverse Synthetic Aperture Radar (PolInISAR) based approach is outlined for the 3-D imaging of non-cooperative targets. The role of polarimetry is proven vital here as it allows to select the optimal...

F. Mancuso, E. Giusti and M. Martorella, "Polarimetric Three-Dimensional ISAR Imaging," 2022 IEEE Radar Conference (RadarConf22), 2022, pp. 1-6.

Three-dimensional (3D) ISAR imaging is an effective imaging technique which allows to overtake some interpretability issues typical of bidimensional imaging systems and to enhance the potential of Automatic Target Recognition (ATR) algorithms. 3D ISAR...

K. Vichos, M. De Bonis, I. Kanellos, S. Chatzopoulos, C. Atzori, N. Manola, P. Manghi, T. Vergoulis: "A preliminary assessment of the article deduplication algorithm used for the OpenAIRE Research Graph", IRCDL 2022

Content: In recent years, a large number of Scholarly Knowledge Graphs (SKGs) have been introduced in the literature. The communities behind these graphs strive to gather, clean, and integrate scholarly metadata from various sources to produce clean...