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melta » melita (Expand Search), meta (Expand Search), delta (Expand Search)
meld » held (Expand Search), med (Expand Search), mild (Expand Search)
elms » llms (Expand Search), elm (Expand Search), ems (Expand Search)
ease » case (Expand Search), base (Expand Search), east (Expand Search)
menba » mena (Expand Search), melba (Expand Search), memba (Expand Search)
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ELM embedded discriminative dictionary learning for image classification
Published 2022“…In this work we propose a simple and effective framework called ELM-DDL to address these issues. Specifically, we represent input features with Extreme Learning Machine (ELM) with orthogonal output projection, which enables diverse representation on nonlinear hidden space and task specific feature learning on output space. …”
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Novel multi-way microvalve with ease of fabrication and integration for microfluidics application
Published 2020Get full text
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NOx measurements in vehicle exhaust using advanced deep ELM networks
Published 2021“…Moreover, to further improve the regression performance the proposed deep ELM was provided with features derived from supervised learning improving its ability to address target constituents. …”
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UMPSA opens more help desks for prospective students, easing university admission process
Published 2024Get full text
Newspaper -
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Easing the “second-shift” burden : grandparental childcare and the subjective wellbeing of working mothers in Singapore
Published 2020Get full text
Final Year Project (FYP) -
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Streamlining electronic reporting of serious adverse events (SAEs) using the REDCap data collection system: the eSAE Project
Published 2024“…This functionality ‘The eSAE Project’ is now an active project for all of our new trials where data collection is undertaken using the REDCap system.…”
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Beyond MELD Score: Association of Machine Learning-derived CT Body Composition with 90-Day Mortality Post Transjugular Intrahepatic Portosystemic Shunt Placement
Published 2024“…Multivariable logistic regression showed that SMA (OR = 0.97, p < 0.01), SMI (OR = 0.94, p = 0.03), SFA (OR = 0.99, p = 0.01), and VFA (OR = 0.99, p = 0.02) remained significant predictors of 90-day mortality when adjusted for MELD score. ROC curve analysis demonstrated that including SMA, SFA, and VFA improves the predictive power of MELD score in predicting 90-day mortality after TIPS (AUC, 0.84; 95% CI: 0.77, 0.91; p = 0.02). …”
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Improved extreme learning machine for spectra classification of Covid-19
Published 2024Subjects: Get full text
Thesis-Master by Coursework -
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Trans-pacific partnership : now it gets difficult
Published 2012Get full text
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Commentary -
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Generic Object Recognition with Local Receptive Fields Based Extreme Learning Machine
Published 2015Subjects: “…Generic object recognition; local receptive fields; Extreme Learning Machine (ELM)…”
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Toward multivariate fragility functions for seismic damage and loss estimation of high-rise buildings
Published 2024Get full text
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MMP14 in sarcoma : a regulator of tumor microenvironment communication in connective tissues
Published 2020Get full text
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