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    DataMiner Process

    Private Feed Forward Neural Network Trainer in AGINFRAplus

    The algorithm trains a Feed Forward Artificial Neural Network using an online Back-Propagation procedure and returns the training error and a binary file containing the trained...
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    DataMiner Process

    Private Lof in AGINFRAplus

    Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by...
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    DataMiner Process

    Private Stat Val in AGINFRAplus

    statistical validation of networks. It takes in input the edgelist of a (INTEGER-)WEIGHTED UNIPARTITE DIRECTED or BINARY BIPARTITE network and returns an output network that is...
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    DataMiner Process

    Private Xmeans in AGINFRAplus

    A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A...
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    Private Kmeans in AGINFRAplus

    A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation...
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    DataMiner Process

    Private Time Geo Chart in AGINFRAplus

    An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country.
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    DataMiner Process

    Private Dbscan in AGINFRAplus

    A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is...
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    Private Time Series Analysis in AGINFRAplus

    An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the...
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    DataMiner Process

    Private Time Series Charts in AGINFRAplus

    An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed.
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    DataMiner Process

    Private Geo Chart in AGINFRAplus

    An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country.
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    DataMiner Process

    Private Feed Forward Neural Network Regressor in AGINFRAplus

    The algorithm simulates a real-valued vector function using a trained Feed Forward Artificial Neural Network and returns a table containing the function actual inputs and the...
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    Dataset

    Private CROP_SIMULATION_FOR_FIELD_V1_ID_4ac985c6 66f3 410f 9409 52d00e9f3bf9

    Runs a crop simulation for a single crop parcel. {Published by Rob Knapen (rob.knapen) on 2019/10/23 20:13 GMT}
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    DataMiner Process

    Private Feed Forward Neural Network Trainer in AGINFRAplus

    The algorithm trains a Feed Forward Artificial Neural Network using an online Back-Propagation procedure and returns the training error and a binary file containing the trained...
  • Webinar

    Webinar on Galaxy and Galaxy Integration with DataMiner Service

    Galaxy is a platform enacting its users to easily create and execute scientific workflows. In this webinar it is showcased how the instance of this platform operated by EGI...
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  • Webinar

    Webinar on Ontology Management using Vocbench in the context of AGINFRAPLUS P...

    Vocbench is a vocabulary and ontology management web-based tool. Its original purpose was the management of the AgroVoc thesaurus. It is actively maintained by the ART group...
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    ResearchObject

    Private JustForTestInCatalogueNew

    sss
  • VirtualResearchEnvironment

    AgroClimaticModeling VRE

    This virtual research environment (VRE) supports the development and use of scientific applications for agriculture and food in the area of agro-climatic modelling. It allows...
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  • VirtualResearchEnvironment

    AGINFRAplus VRE

    This Virtual Research Environment is conceived to be the working environment supporting cooperation and collaboration among the AGINFRA+ project beneficiaries.
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  • VirtualResearchEnvironment

    RAKIP_portal VRE

    The food safety community is generating a variety of scientific knowledge (e.g. scientific publications, experimental data and mathematical models) and resources (databases...
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  • VirtualResearchEnvironment

    DEMETER VRE

    The DEMETER VRE will support the early identification of issues in the food (and feed) chain. This VRE has been developed to act like a knowledge exchange portal for this...
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