Unsupervised Anomaly Detection in Energy Time Series Data Using Variational Recurrent Autoencoders with Attention - researchr publication authors

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Joao Pereira, Margarida Silveira. Unsupervised Anomaly Detection in Energy Time Series Data Using Variational Recurrent Autoencoders with Attention. In M. Arif Wani, Mehmed Kantardzic, Moamar Sayed Mouchaweh, João Gama, Edwin Lughofer, editors, 17th IEEE International Conference on Machine Learning and Applications, ICMLA 2018, Orlando, FL, USA, December 17-20, 2018. pages 1275-1282, IEEE, 2018. [doi]

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