51 citations · 209 across the 15 of their papers we have counts for
4 papers · 1 filter
Distributed Learning of Deep Neural Networks using Independent Subnet Training
Binhang Yuan, Cameron R. Wolfe, Chen Dun +3
Distributed machine learning (ML) can bring more computational resources to bear than single-machine learning, thus enabling reductions in training time. Distributed learning parti…
Diagnosing Cardiac Abnormalities from 12-Lead Electrocardiograms Using Enhanced Deep Convolutional Neural Networks
Binhang Yuan, Wenhui Xing
We train an enhanced deep convolutional neural network in order to identify eight cardiac abnormalities from the standard 12-lead electrocardiograms (ECGs) using the dataset of 140…
Declarative Recursive Computation on an RDBMS, or, Why You Should Use a Database For Distributed Machine Learning
Dimitrije Jankov, Shangyu Luo, Binhang Yuan +4
A number of popular systems, most notably Google's TensorFlow, have been implemented from the ground up to support machine learning tasks. We consider how to make a very small set…
WaveletAE: A Wavelet-enhanced Autoencoder for Wind Turbine Blade Icing Detection
Binhang Yuan, Chen Wang, Chen Luo +4
Wind power, as an alternative to burning fossil fuels, is abundant and inexhaustible. To fully utilize wind power, wind farms are usually located in areas of high altitude and faci…