Towards the Robustness in Deep Learning Architectures for e-Science Applications
Application of deep learning in the maneuvering control of a formula SAE vehicle
Learning concepts through the fusion of representations of distinct visual domains...
Sensitive media analysis through deep learning architectures
Introducing elements of fractal geometry into deep convolutional neural networks: ...
Bridging Nonlinear Dynamics and Neural Networks for EEG-Based Brain Signal Analysis.
Investigation of open set domain adaptation methods for computer vision tasks