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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| Issue Date | Title | Author(s) |
|---|---|---|
| 2021 | Scaling deep learning data management with Cassandra DB | Versaci, Francesco ; Busonera, Giovanni |
| Jun-2021 | SliceNet: deep dense depth estimation from a single indoor panorama using a slice-based representation | Pintore, Giovanni ; Agus, Marco ; Almansa, Eva ; Schneider, Jens ; Gobbetti, Enrico |
| 2020 | State-of-the-art in Automatic 3D Reconstruction of Structured Indoor Environments | Pintore, Giovanni ; Mura, Claudio ; Ganovelli, Fabio ; Fuentes-Perez, Lizeth ; Pajarola, Renato ; Gobbetti, Enrico |
| 12-Apr-2017 | Techniques for seamless color registration and mapping on dense 3D models | Pintus, Ruggero ; Gobbetti, Enrico ; Callieri, Marco ; Dellepiane, Matteo |
| Nov-2020 | test | Pinna, Marco |
| 14-Sep-2022 | test new2 | |
| 2021 | WaveTF: A Fast 2D Wavelet Transform for Machine Learning in Keras | Versaci, Francesco |
| May-2021 | Web-based Exploration of Annotated Multi-Layered Relightable Image Models | Jaspe-Villanueva, Alberto ; Ahsan, Moonisa ; Pintus, Ruggero ; Giachetti, Andrea ; Gobbetti, Enrico |