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Found 6 papers, 0 papers with code
Tensor Denoising via Amplification and Stable Rank Methods
Tensors in the form of multilinear arrays are ubiquitous in data science applications.
Prediction of Oral Food Challenge Outcomes via Ensemble Learning
The results of this analysis suggest that ensemble learning has the potential to predict OFC outcomes and reveal relevant clinical factors for further study.
A Novel Tropical Geometry-based Interpretable Machine Learning Method: Application in Prognosis of Advanced Heart Failure
In addition to learning humanly understandable rules from the dataset, existing fuzzy domain knowledge can be easily transferred into the network and used to facilitate model training.
Motion-based Camera Localization System in Colonoscopy Videos
In this study, we propose a camera localization system to estimate the relative location of the camera and classify the colon into anatomical segments.
An Unsupervised Feature Learning Approach to Reduce False Alarm Rate in ICUs
In this paper, we propose a novel set of high-level features based on unsupervised feature learning technique in order to effectively capture the characteristics of different arrhythmia in electrocardiogram (ECG) signal and differentiate them from irregularity in signals due to different sources of signal disturbances.
Solving the Conjugacy Decision Problem via Machine Learning
Machine learning and pattern recognition techniques have been successfully applied to algorithmic problems in free groups.
