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  Ahmed Mejdoubi, Ouadoudi Zytoune, Hacene Fouchal, Mohamed Ouadou. A Learning Approach for Road Traffic Optimization in Urban Environments. International Conference on Machine Learning for Networking (MLN), 2019, Paris, France. pp.355-366, ⟨10.1007/978-3-030-45778-5_24⟩. ⟨hal-03085739⟩
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  François Kasséné Gomis, Thierry Bouwmans, Mamadou Samba Camara, Idy Diop. Estimation of the Hidden Message Length in Steganography: A Deep Learning Approach. International Conference on Machine Learning for Networking, MLN 2019, Dec 2019, Paris, France. pp.333-341, ⟨10.1007/978-3-030-45778-5_22⟩. ⟨hal-02561728⟩
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  Taku Wakui, Takao Kondo, Fumio Teraoka. GAMPAL: Anomaly Detection for Internet Backbone Traffic by Flow Prediction with LSTM-RNN. 2nd International Conference on Machine Learning for Networking (MLN), Dec 2019, Paris, France. pp.196-211, ⟨10.1007/978-3-030-45778-5_13⟩. ⟨hal-03266474⟩
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  Dehao Wu, Maziar Nekovee, Yue Wang. An Adaptive Deep Learning Algorithm Based Autoencoder for Interference Channels. 2nd International Conference on Machine Learning for Networking (MLN), Dec 2019, Paris, France. pp.342-354, ⟨10.1007/978-3-030-45778-5_23⟩. ⟨hal-03266473⟩

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