DSpace CRIS
DSpace-CRIS consists of a data model describing objects of interest to Research and Development and a set of tools to manage the data. Standard DSpace is used to deal with publications and data sets, whereas DSpace-CRIS involves other CRIS entities: Researcher Pages, Projects, Organization Units and Second Level Dynamic Objects (single entities specialized by a profile, such as Journal, Prize, Event etc; because any profile can define its own set of properties and nested objects)
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Conference Materials
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| Issue Date | Title | Author(s) | |
|---|---|---|---|
| 1 | Jun-2021 | SliceNet: deep dense depth estimation from a single indoor panorama using a slice-based representation | Pintore, Giovanni ; Agus, Marco ; Almansa Aránega, Eva María ; Schneider, Jens ; Gobbetti, Enrico |
| 2 | Nov-2021 | Exploiting Neighboring Pixels Similarity for Effective SV-BRDF Reconstruction from Sparse MLICs | Pintus, Ruggero ; Ahsan, Moonisa ; Marton, Fabio ; Gobbetti, Enrico |
| 3 | Oct-2021 | Guiding Lens-based Exploration using Annotation Graphs | Ahsan, Moonisa ; Marton, Fabio ; Pintus, Ruggero ; Gobbetti, Enrico |
| 4 | 7-Aug-2022 | AI Support for Accelerating Histopathological Slide Examinations of Prostate Cancer in Clinical Studies | Del Rio, Mauro ; Lianas, Luca ; Aspegren, Oskar ; Busonera, Giovanni ; Versaci, Francesco ; Zelic, Renata ; Vincent, Per H ; Leo, Simone ; Pettersson, Andreas ; Akre, Olof ; Pireddu, Luca |