PURR Registry

Simplicity of K-means versus deepness of Deep Learning. A Case of Unsupervised Feature Learning with Limited Data

10.4231/R7N58J9Z

Baichuan Zhang , Bartlomiej P. Rajwa , Murat Dundar , Qiang Kou , Yicheng He

10/01/2015

A study contrasting K-means-based unsupervised feature learning and deep learning techniques for small data sets with limited intra- as well as inter-class diversity

bacterial colonies BARDOT Biomedical Engineering Computer Science deep learning Elastic light scattering Interdisciplinary Research K-Means Clustering Life Sciences Machine Learning representation learning

Code and Dataset for TARP Detection Benchmarks

10.4231/R7ST7MVC

Kelsie Larson , Mireille Boutin

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

Data for Analyzing the Effect of Data Splitting and Covariate Shift on Machine Leaning Based Streamflow Prediction in Ungauged Basins

10.4231/0PG5-KC30

Pin-ching Li , Sayan Dey , Venkatesh Mohan Merwade

01/23/2023

This resource contains the data used in the study "Analyzing the Effect of Data Splitting and Covariate Shift on Machine Leaning Based Streamflow Prediction in Ungauged Basins" published in Water Resources Research (doi: 10.1029/2023WR034464)

Artificial Neural Network (ANN) covariate shift Hydrology Machine Learning prediction in ungauged basin Random Forest streamflow prediction

Codes for Analyzing the Effect of Data Splitting and Covariate Shift on Machine Leaning Based Streamflow Prediction in Ungauged Basins

10.4231/B783-2C47

Pin-ching Li , Sayan Dey , Venkatesh Mohan Merwade

01/23/2023

This resource contains codes used in the study "Analyzing the Effect of Data Splitting and Covariate Shift on Machine Leaning Based Streamflow Prediction in Ungauged Basins" published in Water Resources Research (doi: 10.1029/2023WR034464)

Artificial Neural Network (ANN) Machine Learning Random Forest streamflow prediction

General Aviation Flight Phase Identification using Automatic Dependent Surveillance-Broadcast (ADS-B)

10.4231/X0HZ-MF23

John H Mott , Qilei Zhang

08/23/2021

Dataset including KLAF ADS-B data and synthetic flight data for clustering validation purposes.

ADS-B Aviation Technology Clustering Machine Learning

RoboMal Malware Detection Dataset

10.4231/YN7G-H807

Byung-cheol Min , Haozhe Zhou , Richard Voyles , Upinder Kaur , Xiaxin Shen

10/15/2021

The RoboMal Dataset consists of 450 binary executables designed to facilitate malware detection in robotic software.

Engineering Technology Machine Learning malware Python Robotics security

Clustering in Machine Learning Pattern Formation of VO2

10.4231/966Q-6F95

Alexandre Zimmers , Dmitri Basov , Erica Carlson , Forrest Simmons , Ivan K. Schuller , Lionel Aigouy , Lukasz Burzawa , Melissa Alzate Banguero , Mumtaz Qazilbash , Pavel Salev , Sayan Basak

04/07/2023

Codes used in "Deep Learning Hamiltonians form Disordered Image Data in Quantum Materials" https://arxiv.org/abs/2211.01490 and the resulting visualizations.

Clustering Machine Learning Physics quantum materials Scientific visualization symmetry Vanadium dioxide VO2

Genome-wide, Organ-delimited gene regulatory networks (OD-GRN) provide high accuracy in candidate Transcription Factor (TF) selection across diverse processes

10.4231/50R5-EM83

Karen Hudson , Kranthi K Varala , Ying Li

01/04/2024

Organ-specific gene expression datasets that include hundreds to thousands of experiments allow reconstruction of gene regulatory networks and discovery of transcriptional regulators various pathways and processes.

Arabidopsis thaliana Gene regulatory networks k-nearest neighbor (kNN) linear support vector machines (SVM) Machine Learning Systems biology

Structural attributes derived from Google Street View imagery, Louisiana coastal zone

10.4231/1TZX-BR43

David R Johnson , Ed Delp , Fu-Chen Chen , Mohammad Jahanshahi

07/28/2020

Structural attributes relevant to flood risk (foundation height/type, square footage, number of stories, building type), produced using machine learning for automated image analysis of GSV images.

flood risk Industrial Engineering Machine Learning structure attributes

Gait phase estimation using wearable sensors and PCA based linear regression model

10.4231/Q0HY-AT09

Ahmed Khaled Soliman , Andres Torres , Chang Heon Lee , Guilherme A. Ribeiro , Li-fan Wu , Mo Rastgaar

05/16/2022

Estimating gait realtime through 2 wearable sensors and a PCA based linear regression model.

Acceleration Biomedical Engineering Machine Learning Mechanical Engineering PCA Robotics Stepwise Multiple linear Regression Wearable Device

Datasets

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Total is 18 Results