• 
  Alexis Bitaillou, Benoît Parrein, Guillaume Andrieux. Q-routing: from the algorithm to the routing protocol. Second IFIP International Conference on Machine Learning for Networking, Dec 2019, Paris, France. ⟨10.1007/978-3-030-45778-5_5⟩. ⟨hal-02521783⟩
• 
  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⟩
• 
  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⟩
• 
  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⟩
• 
  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⟩

32

0