Articles with "ensemble machine" as a keyword



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Personalized online ensemble machine learning with applications for dynamic data streams

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Published in 2023 at "Statistics in Medicine"

DOI: 10.1002/sim.9655

Abstract: In this work we introduce the personalized online super learner (POSL), an online personalizable ensemble machine learning algorithm for streaming data. POSL optimizes predictions with respect to baseline covariates, so personalization can vary from completely… read more here.

Keywords: time; posl; time series; personalized online ... See more keywords
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Ensemble Machine Learning Methods for better Dynamic Assessment of Transformer Status

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Published in 2021 at "Journal of The Institution of Engineers (India): Series B"

DOI: 10.1007/s40031-021-00599-1

Abstract: Analyzing dissolved gases in the transformer's mineral oil helps to detect and classify the systemic faults in electric power transformers. Formerly, empirical methods such as Rogers ratio, Duval triangles 1–4–5, and pentagons 1–2 were used… read more here.

Keywords: ensemble machine; transformer; learning methods; power transformers ... See more keywords
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Ensemble machine learning models for the detection of energy theft

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Published in 2020 at "Electric Power Systems Research"

DOI: 10.1016/j.epsr.2020.106904

Abstract: Abstract Advanced metering infrastructure allows the two-way sharing of information between smart meters and utilities. However, it makes smart grids more vulnerable to cyber-security threats such as energy theft. This study suggests ensemble machine learning… read more here.

Keywords: machine learning; learning models; energy; energy theft ... See more keywords
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Ensemble machine learning prediction of posttraumatic stress disorder screening status after emergency room hospitalization.

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Published in 2018 at "Journal of anxiety disorders"

DOI: 10.1016/j.janxdis.2018.10.004

Abstract: Posttraumatic stress disorder (PTSD) develops in a substantial minority of emergency room admits. Inexpensive and accurate person-level assessment of PTSD risk after trauma exposure is a critical precursor to large-scale deployment of early interventions that… read more here.

Keywords: machine; machine learning; ensemble machine; screening status ... See more keywords
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Flexible Bayesian Ensemble Machine Learning Framework for Predicting Local Ozone Concentrations.

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Published in 2022 at "Environmental science & technology"

DOI: 10.1021/acs.est.1c04076

Abstract: 3D-grid-based chemical transport models, such as the Community Multiscale Air Quality (CMAQ) modeling system, have been widely used for predicting concentrations of ambient air pollutants. However, typical horizontal resolutions of nationwide CMAQ simulations (12 ×… read more here.

Keywords: framework; ensemble machine; bayesian ensemble; machine learning ... See more keywords
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Ensemble machine learning models based on Reduced Error Pruning Tree for prediction of rainfall-induced landslides

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Published in 2021 at "International Journal of Digital Earth"

DOI: 10.1080/17538947.2020.1860145

Abstract: ABSTRACT In this paper, we developed highly accurate ensemble machine learning models integrating Reduced Error Pruning Tree (REPT) as a base classifier with the Bagging (B), Decorate (D), and Random Subspace (RSS) ensemble learning techniques… read more here.

Keywords: machine learning; learning models; error; ensemble machine ... See more keywords
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Sufficiency of Ensemble Machine Learning Methods for Phishing Websites Detection

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Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3224781

Abstract: Phishing is a kind of worldwide spread cybercrime that uses disguised websites to trick users into downloading malware or providing personally sensitive information to attackers. With the rapid development of artificial intelligence, more and more… read more here.

Keywords: sufficiency ensemble; machine; machine learning; phishing websites ... See more keywords

Sparse Ensemble Machine Learning to Improve Robustness of Long-Term Decoding in iBMIs

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Published in 2020 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"

DOI: 10.1109/tnsre.2019.2962708

Abstract: This paper presents a novel sparse ensemble based machine learning approach to enhance robustness of intracortical Brain Machine Interfaces (iBMIs) in the face of non-stationary distribution of input neural data across time. Each classifier in… read more here.

Keywords: sparse ensemble; ensemble machine; learning improve; term ... See more keywords
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Employment of Ensemble Machine Learning Methods for Human Activity Recognition

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Published in 2022 at "Journal of Healthcare Engineering"

DOI: 10.1155/2022/6963891

Abstract: The endeavor to detect human activities and behaviors is targeted as a real-time detection mechanism that tends to predict the form of human motions and actions. Though sensors like accelerometer and gyroscopes are noticeable in… read more here.

Keywords: machine; employment ensemble; machine learning; ensemble machine ... See more keywords
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An improved catalogue of putative synaptic genes defined exclusively by temporal transcription profiles through an ensemble machine learning approach

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Published in 2019 at "BMC Genomics"

DOI: 10.1186/s12864-019-6380-z

Abstract: BackgroundAssembly and function of neuronal synapses require the coordinated expression of a yet undetermined set of genes. Previously, we had trained an ensemble machine learning model to assign a probability of having synaptic function to… read more here.

Keywords: machine learning; catalogue putative; ensemble machine; synaptic genes ... See more keywords

Response to “Comment on ‘Deep Ensemble Machine Learning Framework for the Estimation of PM2.5 Concentrations’”

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Published in 2022 at "Environmental Health Perspectives"

DOI: 10.1289/ehp11438

Abstract: We appreciate the comments by Stafoggia et al. on our article. We would like to clarify that our article aimed to introduce a novel methodology, deep ensemble machine learning (DEML), to estimate concentrations of air… read more here.

Keywords: deep ensemble; machine; machine learning; monitoring ... See more keywords