Towards the Robustness in Deep Learning Architectures for e-Science Applications
Introducing elements of fractal geometry into deep convolutional neural networks: ...
Learning concepts through the fusion of representations of distinct visual domains...
Application of deep learning in the maneuvering control of a formula SAE vehicle
Bridging Nonlinear Dynamics and Neural Networks for EEG-Based Brain Signal Analysis.
Sensitive media analysis through deep learning architectures
Feature learning applied to sketch-based image retrieval and low-altitude remote s...