23 citations · 38 across the 6 of their papers we have counts for
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stat.AP2017★ 9 cited
Deep Learning applied to Road Traffic Speed forecasting
Thomas Epelbaum, Fabrice Gamboa, Jean-Michel Loubes +1
In this paper, we propose deep learning architectures (FNN, CNN and LSTM) to forecast a regression model for time dependent data. These algorithm's are designed to handle Floating…
stat.ML2017★ 23 cited
Deep learning: Technical introduction
Thomas Epelbaum
This note presents in a technical though hopefully pedagogical way the three most common forms of neural network architectures: Feedforward, Convolutional and Recurrent. For each n…