ATELIER. Self-Labelling dynamic Loss function training data

Description

This dataset contains all the statistics collected during the training of multiple Neural Networks, which uses the following architecture technologies: Siamese Neural Networks, Dynamic loss function, modified during the training through Reinforcement learning and a 'Curriculum-Learning' cycle in between training cycles. The goal of the Models is to correctly identify anomalies in the QoE of real-time videos through the network KPIs. The dataset contains 3 type of experiment with different levels of model complexity. Please refer to the associated github repository and the published paper for a detailed description of both the dataset and the infrastructure that generated the dataset.Journal paper title: "ATELIER: Service Tailored and Limited-Trust Network Analytics Using Cooperative Learning"

Resources

Name Format Description Link
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-10984557
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-10984557
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-10984557
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-10984557
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-10984557
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-10984557
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-10984557
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-10984557

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