D3.4: Middle layer for machine-learning components towards pilot requirements
In this deliverable we outline the analysis of the explainability landscape within InterConnect and provide the references to data, implementations and code that are developed towards the goal of exploiting the semantic possibilities of SAREF towards easier integration of Machine Learning algorithms which form the elements of a middle layer between the applications and use […]
In this deliverable we outline the analysis of the explainability landscape within InterConnect and provide the references to data, implementations and code that are developed towards the goal of exploiting the semantic possibilities of SAREF towards easier integration of Machine Learning algorithms which form the elements of a middle layer between the applications and use cases and the various ML algorithms.