most citedApplying Deep Bidirectional LSTM and Mixture Density Network for Basketball Trajectory Prediction

79 citations · 110 across the 3 of their papers we have counts for

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cs.CV2017★ 23 cited

Deep Residual Bidir-LSTM for Human Activity Recognition Using Wearable Sensors

Yu Zhao, Rennong Yang, Guillaume Chevalier +1

Human activity recognition (HAR) has become a popular topic in research because of its wide application. With the development of deep learning, new ideas have appeared to address H…