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Found 3 papers, 1 papers with code
Bayesian and Neural Inference on LSTM-based Object Recognition from Tactile and Kinesthetic Information
Recent advances in the field of intelligent robotic manipulation pursue providing robotic hands with touch sensitivity.
Leveraging Graph and Deep Learning Uncertainties to Detect Anomalous Trajectories
Our experimental results suggest that the graphical representation of traffic patterns improves the ability of the DL models, such as evidential and Monte Carlo dropout, to learn the temporal-spatial correlation of data and associated uncertainties.
Effective injury forecasting in soccer with GPS training data and machine learning
Injuries have a great impact on professional soccer, due to their large influence on team performance and the considerable costs of rehabilitation for players.
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