Cross-Dataset Motor Imagery Classification with Deep Learning and Riemannian Geometry
Autoencoders neural networks optimization by visual analytics data
Optimizing effective perceived noise in distributed electric propulsion with neura...
Automatic synthesis of arbitrarily connected artificial neural networks
Towards the Robustness in Deep Learning Architectures for e-Science Applications
Impacts of Code Optimization in Noise Reduction and Performance Improvement of Qua...
Machine Learning-Driven Optimization of Magnetoplasmonic Biosensors