| Deep residual bidir-LSTM for human activity recognition using wearable sensors Y Zhao, R Yang, G Chevalier, X Xu, Z Zhang Mathematical Problems in Engineering 2018, 1-13, 2018 | 322 | 2018 |
| Applying deep bidirectional LSTM and mixture density network for basketball trajectory prediction Y Zhao, R Yang, G Chevalier, RC Shah, R Romijnders Optik 158, 266-272, 2018 | 91 | 2018 |
| LSTMs for Human Activity Recognition G Chevalier https://github.com/guillaume-chevalier/LSTM-Human-Activity-Recognition, 2012 …, 2016 | 38* | 2016 |
| LARNN: linear attention recurrent neural network G Chevalier arXiv preprint arXiv:1808.05578, 2018 | 26 | 2018 |
| Neuraxle - A Python Framework for Neat Machine Learning Pipelines G Chevalier, A Brillant, E Hamel Montreal Artificial Intelligence Symposium (MAIS) 2019, 2, 2019 | | 2019 |
| Spiking Neural Network SNN with PyTorch where Backpropagation engenders STDP G Chevalier https://github.com/guillaume-chevalier/Spiking-Neural-Network-SNN-with …, 2019 | | 2019 |
| Random Thoughts on Brain-Computer Interfaces, Productivity, and Privacy G Chevalier Guillaume Chevalier's Blog, 2019 | | 2019 |
| Satellite Image Segmentation: a Workflow with U-Net G Chevalier https://medium.com/vooban-ai/satellite-image-segmentation-a-workflow-with-u …, 2017 | | 2017 |
Rajiv ShahUniversity of Illinois at ChicagoVerified email at rajivshah.com
