The work “Defining and Detecting Complex Changes on RDF(S) Knowledge Bases“, with the support of NEANIAS project, has been published in Journal on Data Semantics.
The work “Defining and Detecting Complex Changes on RDF(S) Knowledge Bases“, with the support of NEANIAS project, has been published in Journal on Data Semantics.
The work “Semantic Segmentation of Radio-Astronomical Images“, with the support of NEANIAS project, has been published.
The work “Astronomical source finding services for the CIRASA visual analytic platform“, with the support of NEANIAS project, has been published in Cornell University - arXiv.org.
The work “The virtual observatory ecosystem facing the European Open Science Cloud“, with the support of NEANIAS project, has been published in HAL.
The work “Visualization and source analysis services for the SKA Regional Centres” was presented in the “Third National Workshop on the SKA Project - The Italian Route to the SKAO Revolution” by Dr Simone Rigg, from INAF.
The work “Cloud-agnostic architectures for machine learning based on Apache Spark“, with the support of NEANIAS project, has been published in “Advances in Engineering Software” Journal.
The work titled “Evaluating explainable artificial intelligence methods for multi-label deep learning classification tasks in remote sensing” has been published in the Journal "International Journal of Applied Earth Observation and Geoinformation".
The whitepaper "Onboarding EOSC hub: best practices and lessons learnt" has been produced by the NEANIAS project.
The work “The Volcanic Relief within the Kos-Nisyros-Tilos Tectonic Graben at the Eastern Edge of the Aegean Volcanic Arc, Greece and Geohazard Implications“, with the support of NEANIAS project, has been published at MDPI/Geosciences.
The peer-review article “A new view of observed galaxies through 3D modelling and visualisation”, by University of Portsmouth and collaborators, has been published in the journal Astronomy and Computing.