LAUSR

An improved efficient rotation forest algorithm to predict the interactions among proteins

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0 Published in 2018 at "Soft Computing"

DOI: 10.1007/s00500-017-2582-y

Abstract: Protein–protein interactions (PPIs) are the basis to interpret biological mechanisms of life activity, and play vital roles in the execution of various cellular processes. The development of computer technology provides a new way for the… read more here.

Keywords: forest algorithm; predict interactions; rotation forest; rotation ... See more keywords

Estimating grassland aboveground biomass on the Tibetan Plateau using a random forest algorithm

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0 Published in 2019 at "Ecological Indicators"

DOI: 10.1016/j.ecolind.2019.02.023

Abstract: Abstract Effective and accurate monitoring of grassland aboveground biomass (AGB) is necessary for improving our understanding of regional carbon cycle and pastoral agricultural management. In this study, we developed a suitable AGB estimation model for… read more here.

Keywords: random forest; grassland; forest algorithm; agb ... See more keywords

Reliability prediction model of NAND flash memory based on random forest algorithm

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0 Published in 2019 at "Microelectronics Reliability"

DOI: 10.1016/j.microrel.2019.06.063

Abstract: Abstract Nowadays, NAND flash is widely used for its excellent characteristics. However, the increasing storage capability leads to the decrease of reliability of NAND flash. Therefore, improving the reliability of NAND flash chip has become… read more here.

Keywords: reliability; prediction; forest algorithm; nand flash ... See more keywords

A cost-sensitive rotation forest algorithm for gene expression data classification

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0 Published in 2017 at "Neurocomputing"

DOI: 10.1016/j.neucom.2016.09.077

Abstract: Existing works show that the rotation forest algorithm has competitive performance in terms of classification accuracy for gene expression data. However, most existing works only focus on the classification accuracy and neglect the classification costs.… read more here.

Keywords: forest algorithm; classification; rotation forest; rotation ... See more keywords

Classifying airborne bathymetry data using the Random Forest algorithm

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0 Published in 2019 at "Remote Sensing Letters"

DOI: 10.1080/2150704x.2019.1629710

Abstract: ABSTRACT The information on the topography of the seabed included in data from airborne lidar bathymetry can be used for the detection of changes occurring at the bottom of the basin and for the detection… read more here.

Keywords: water surface; bathymetry; random forest; forest algorithm ... See more keywords

A Parametric Optimization Oriented, AFSA Based Random Forest Algorithm: Application to the Detection of Cervical Epithelial Cells

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1 Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.2984657

Abstract: Cervical cancer is one of the most common cancers among women in the world, over 570,000 patients are affected annually. Pathological examination for patients using Pap Smear becomes the mainstream of cervical cancer diagnoses. Accurate… read more here.

Keywords: random forest; classification; forest algorithm; epithelial cells ... See more keywords

Using the Random Forest Algorithm for Searching Behavior Patterns in Electronic Health Records

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1 Published in 2019 at "IEEE Latin America Transactions"

DOI: 10.1109/tla.2019.8891957

Abstract: The search for information associated with qualitative data is usually done using data mining algorithms, the presented research analyzes data of patients with essential hypertension (HTA), patients who have developed hypertension but there is no… read more here.

Keywords: health; random forest; algorithm searching; forest algorithm ... See more keywords

Random Forest Algorithm Based on Speech for Early Identification of Parkinson's Disease

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2 Published in 2022 at "Computational Intelligence and Neuroscience"

DOI: 10.1155/2022/3287068

Abstract: To investigate the effectiveness of identifying patients with Parkinson's disease (PD) from speech signals, various acoustic parameters including prosodic and segmental features are extracted from speech and then the random forest classification (RF) algorithm based… read more here.

Keywords: algorithm based; identification; parkinson disease; random forest ... See more keywords

Prediction of ground vibrations induced by bench blasting using the random forest algorithm

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1 Published in 2023 at "Journal of the Southern African Institute of Mining and Metallurgy"

DOI: 10.17159/2411-9717/936/2023

Abstract: The accurate estimation of peak particle velocity (PPV) is crucial during the design of bench blasting operations in open pit mines, since the vibrations caused by blasting can significantly affect the integrity of nearby buildings… read more here.

Keywords: ground vibrations; random forest; bench blasting; model ... See more keywords

A Fast Parallel Random Forest Algorithm Based on Spark

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1 Published in 2023 at "Applied Sciences"

DOI: 10.3390/app13106121

Abstract: To improve the computational efficiency and classification accuracy in the context of big data, an optimized parallel random forest algorithm is proposed based on the Spark computing framework. First, a new Gini coefficient is defined… read more here.

Keywords: based spark; algorithm; random forest; forest algorithm ... See more keywords

How random is the random forest? Random forest algorithm on the service of structural imaging biomarkers for Alzheimer's disease: from Alzheimer's disease neuroimaging initiative (ADNI) database

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1 Published in 2018 at "Neural Regeneration Research"

DOI: 10.4103/1673-5374.233433

Abstract: Neuroinformatics is a fascinating research field that applies computational models and analytical tools to high dimensional experimental neuroscience data for a better understanding of how the brain functions or dysfunctions in brain diseases. Neuroinformaticians work… read more here.

Keywords: forest algorithm; alzheimer disease; disease; brain ... See more keywords