Publication Search Results
Long COVID and chronic COVID syndromes.
2020-10-09, Rory J O’Connor, Rory J O’Connor, Manoj Sivan, Manoj Sivan, Stephen J. Halpin, Stephen J. Halpin, Joh Kend, 0000-0001-7017-5015 Amaoui, Bollini, Andrea, Johnson James
We thank Dr Garg and colleagues for their interest in our work and their useful comments.1 We agree that our cohort of hospitalised patients is correspondingly older, more likely to have had severe disease and have more comorbidities than groups whose primary COVID-19 infection was mild and managed in the community. This article is protected by copyright. All rights reserved.
PathGraph: querying and exploring big data graphs
2018, Dario Colazzo, Vincenzo Mecca, Maurizio Nolé, Carlo Sartiani
DSpace 7 - Enhanced Submission & Workflow
2019-11-26, Digilio, Giuseppe, Cortese, Claudio, Bollini, Andrea
The last two years have been very intense for the DSpace community. A great effort has been put into finalizing the development of a DSpace release, 7.0, which has many changes from previous releases, particularly with regard to UI technology. As part of the activities related to the creation of DSpace 7, particularly innovative is the submission and workflow process that can be associated with the different collections. The presentation will provide a deep dive into the new Enhanced Submission and Workflow features of DSpace 7, including how to configure, customize & use this feature (and differences with DSpace 6 and below)
Extending the Digital Archives of Italian Psychology With Semantic Data
2018, Cortese, Claudio
Building a Semantic Web Digital Library for the Municipality of Milan
2018, Cortese, Claudio, Emilia Groppo
Movies in the magnet: Naturalistic paradigms in developmental functional neuroimaging
2015, Smith, Jane
What can we learn about the archaeological record combining quantitative analysis and ethnoarchaeology: issues from a work in progress
2018, Cortese, Claudio
Limited improvement of color deficient vision with colored filters
2015, Corrado, Lombardi, Smith, Jane
Development and Validation of SI Combustion Models for Natural-Gas Heavy-Duty Engines
2019, Lorenzo Sforza, Tommaso Lucchini, Giovanni Gianetti, Gianluca D'Errico
A visual analytics system to support tax evasion discovery
2018-06-01, Didimo W., Liotta G., Montecchiani F., Pagliuca D., Giamminonni, Luca
This paper describes TAXNET, a decision support system for tax evasion discovery, based on a powerful visual language and on advanced network visualization techniques. It has been developed in cooperation with the Italian Revenue Agency, where it is currently used. TAXNET allows users to visually define classes of suspicious patterns, it exploits effective graph pattern matching technologies to rapidly extract subgraphs that correspond to one or more patterns, it provides facilities to conveniently merge the results, and it implements new ad-hoc centrality indexes to rank taxpayers based on their fiscal risk. Moreover, it offers a visual interface to analyze and interact with those networks that match a desired pattern. The paper discusses the results of an experimental study and some use cases conducted with expert officers on real data and in a real working environment. The experiments give evidence of the effectiveness of our system.