Datasets

creator: Mireille Boutin, 0000-0002-0837-6577

Total is 9 Results
20 Commercial Foods to Test 3-step Phenylalanine Estimation Process

10.4231/R7K35RV5

Amruthavarshini Talikoti , Mireille Boutin ORCID logo

03/27/2019

This publication contains the ingredient list and phe:protein ratios for 20 commercial foods, along with assumptions made to test a proposed mathematical process to estimate phenylalanine in commercial foods.

Amino Acid Electrical and Computer Engineering Food Science Nutrients Phenylalanine Phenylketonuria PKU Protein

n-TARP Binary Clustering Code

10.4231/R74B2ZJV

Mireille Boutin ORCID logo , Yellamraju Tarun

05/07/2018

Binary clustering algorithm based on random projections

Clustering Electrical and Computer Engineering Matlab Random Projection

Raw PPG Signal Measured Using Wearable Sensor-kit in Varying Levels of Activity

10.4231/8VF2-1729

Deena Alabed , Mireille Boutin ORCID logo , Tiberius Wehrly

05/03/2019

Photoplethysmogram (PPG) signals collected from five subjects in three scenarios that vary in the level of activity, measured using Asiawill Pulse Heart Rate sensor implemented in an Arduino-based wearable sensor-kit.

Asiawill Pulse Sensor Electrical and Computer Engineering Health Monitoring Device Matlab Photoplethysmogram PPG

Labeled Raw PPG Signals Measured Using Wearable Sensor-kit

10.4231/1BE9-YY17

Deena Alabed , Mireille Boutin ORCID logo , Tiberius Wehrly

05/03/2019

Photoplethysmogram (PPG) signals collected from nine subjects in a still seated position, measured using Asiawill Pulse Heart Rate sensor implemented in an Arduino-based wearable sensor-kit.

Asiawill Pulse Sensor Electrical and Computer Engineering Health Monitoring Device Matlab Photoplethysmogram PPG

RP1D (Clustering Method Using 1D Random Projections)

10.4231/R74F1NN4

Mireille Boutin ORCID logo , Sangchun Han

11/12/2014

The source code of RP1D (Clustering Method Using 1D Random Projections).

Clustering Computer Science Electrical and Computer Engineering Random Projection Source Code

Code and Dataset for Pattern Recognition Benchmarks

10.4231/R7610X8M

Jonas Hepp , Mireille Boutin ORCID logo , Yellamraju Tarun

02/03/2016

This code computed a sequence of bounds for the error rate of a pattern recognition method. The bounds correspond to the error rate that one would expect to achieve by simply selecting features at random and thresholding the feature (TARP) approach.

classification Computer Science Electrical and Computer Engineering feature evaluation image processing image recognition Pattern Recognition Pedestrian Classification

Code and Dataset for TARP Detection Benchmarks

10.4231/R7ST7MVC

Kelsie Larson , Mireille Boutin ORCID logo

05/16/2017

The TARP method uses random projections, followed by threshold classifications, to construct receiver-operating characteristic curves and uncover underlying structure in the given data.

Electrical and Computer Engineering Machine Learning Receiver Operating Characteristics ROC curve Signal Processing Target Detection

Code and Dataset for Pattern Recognition Benchmarks

10.4231/R7G73BPN

Jonas Hepp , Mireille Boutin ORCID logo , Yellamraju Tarun

12/12/2016

This code computed a sequence of bounds for the error rate of a pattern recognition method. The bounds correspond to the error rate that one would expect to achieve by simply selecting features at random and thresholding the feature (TARP) approach.

classification Computer Science Electrical and Computer Engineering feature evaluation image processing image recognition Pattern Recognition Pedestrian Classification

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