Variational Encoder-Decoder Recurrent Neural Network (VED-RNN) for Anomaly Prediction in a Host Environment - researchr publication authors

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Lydia Bouzar-Benlabiod, Lila Méziani, Stuart H. Rubin, Kahina Belaidi, Nour El Houda Haddar. Variational Encoder-Decoder Recurrent Neural Network (VED-RNN) for Anomaly Prediction in a Host Environment. In 20th IEEE International Conference on Information Reuse and Integration for Data Science, IRI 2019, Los Angeles, CA, USA, July 30 - August 1, 2019. pages 75-82, IEEE, 2019. [doi]

This author has not been identified. Look up 'Lydia Bouzar-Benlabiod' in GoogleThis author has not been identified. Look up 'Lila Méziani' in GoogleThis author has not been identified. Look up 'Stuart H. Rubin' in GoogleThis author has not been identified. Look up 'Kahina Belaidi' in GoogleThis author has not been identified. Look up 'Nour El Houda Haddar' in Google

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