A QGIS Decision Support Tool to demonstrate the use of NEANIAS Underwater Services.
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AI services for Open Science.
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Artificial Intelligence for big satellite data.
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Astronomical research in the next decade: trends, barriers and needs in data access, management, visualization and analysis.
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Astrophysics visual analytics services on the European Open Science Cloud.
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Big data and machine learning framework for clouds and its usage for text classification.
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Cloud-agnostic architectures for machine learning based on Apache Spark.
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Cloud-Based Visual Discovery in Astronomy: Big Data Exploration using Game Engines and VR on EOSC.
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Evaluating explainable artificial intelligence methods for multi-label deep learning classification tasks in remote sensing.
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Integration and deployment of Model Serving Framework to serve machine learning models at production scale in easy way.
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