Energy time-series analysis describes the process of analyzing past ener...
Uncertainty estimation is an important task for critical problems, such ...
In this paper we evaluate the impact of domain shift on human detection
...
In this paper, we propose a novel voxel-based 3D single object tracking ...
Deep learning methods have been employed in gravitational-wave astronomy...
Recently, artificial neural networks have been gaining momentum in the f...
Forecasting the movements of stock prices is one the most challenging
pr...