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Found 7 papers, 1 papers with code
STREAMLINE: An Automated Machine Learning Pipeline for Biomedicine Applied to Examine the Utility of Photography-Based Phenotypes for OSA Prediction Across International Sleep Centers
While machine learning (ML) includes a valuable array of tools for analyzing biomedical data, significant time and expertise is required to assemble effective, rigorous, and unbiased pipelines.
Automatic Classification of OSA related Snoring Signals from Nocturnal Audio Recordings
Time and frequency features of the nocturnal audio signal were extracted to classify the audio signal into OSA related snore, simple snore and other sounds.
A Fully Automated System for Sizing Nasal PAP Masks Using Facial Photographs
We present a fully automated system for sizing nasal Positive Airway Pressure (PAP) masks.
Semi-Automated Nasal PAP Mask Sizing using Facial Photographs
We present a semi-automated system for sizing nasal Positive Airway Pressure (PAP) masks based upon a neural network model that was trained with facial photographs of both PAP mask users and non-users.
Turn Down that Noise: Synaptic Encoding of Afferent SNR in a Single Spiking Neuron
We have added a simplified neuromorphic model of Spike Time Dependent Plasticity (STDP) to the Synapto-dendritic Kernel Adapting Neuron (SKAN).
Learning ELM network weights using linear discriminant analysis
We present an alternative to the pseudo-inverse method for determining the hidden to output weight values for Extreme Learning Machines performing classification tasks.
Explicit Computation of Input Weights in Extreme Learning Machines
In the absence of supervised training for the input weights, random linear combinations of training data samples are used to project the input data to a higher dimensional hidden layer.
