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Interpretable scientific discovery with symbolic regression: a review
Published 2024“…<p dir="ltr">Symbolic regression is emerging as a promising machine learning method for learning succinct underlying interpretable mathematical expressions directly from data. …”
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Data-driven discovery of Tsallis-like distribution using symbolic regression in high-energy physics
Published 2024“…We introduce a groundbreaking application of SR on actual experimental data with an unknown underlying model, representing a significant departure from previous applications, which are primarily limited to simulated data. …”
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The Influence of Kanban Project Management Methodology Success Factors on Data Science Project Teams
Published 2022“…The data analysis methods included descriptive statistics and regression analysis. …”
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Board changes and CEO turnover
Published 2014“…For firms that decrease independence, the CEO turnover performance sensitivity significantly decreases following SOX. …”
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Ensemble Deep Random Vector Functional Link Neural Network for Regression
Published 2022“…Subsequently, we propose a novel regularization method [boosted factor (BF)], two dRVFLs variants [edRVFL with skip connection (edRVFL-SC) and edRVFL with random skip connections (edRVFL-RSC)] and one strategy [ensemble skip connection edRVFL (esc-edRVFL)] which show significant improvement over the original dRVFL. The BF is a newly introduced hyperparameter to scale the values of the activated hidden neurons to accommodate the diversity of the data, and it is also able to filter the neurons. edRVFL-SC and edRVFL-RSC are the edRVFL variants with skip connections. …”
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Modeling of photovoltaic soiling loss as a function of environmental variables
Published 2017“…The advantage of the ANN-based model is its simplicity, ease of data fitting and no requirement of an accurate mathematical model.…”
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A slow but steady nanoLuc: R162A mutation results in a decreased, but stable, nanoLuc activity
Published 2024“…<p dir="ltr">NanoLuc (NLuc) <u>luciferase</u> has found extensive application in designing a range of <u>biologica</u><u>l</u><u> assays,</u> including <u>gene expression analysis</u>, protein-protein interaction, and protein conformational changes due to its enhanced brightness and small size. …”
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A flexible genetic algorithm-fuzzy regression approach for forecasting: The case of bitumen consumption
Published 2019“…Moreover, the fuzzy regression (FR) model is used for estimation. Analysis of variance (ANOVA) is used for selecting among GA, FR or conventional regression (CR). …”
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Notch Signaling Inhibition by LY411575 Attenuates Osteoblast Differentiation and Decreased Ectopic Bone Formation Capacity of Human Skeletal (Mesenchymal) Stem Cells
Published 2019“…Global gene expression profiling of LY411575-treated cells revealed changes in multiple signaling pathways, including focal adhesion, insulin, TGFβ, IL6, and Notch signaling, and decreased the expression of genes associated with functional categories of tissue development. …”
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Vocal Changes in Patients With Polycystic Ovary Syndrome
Published 2011“…There was no statistically significant difference in the acoustic parameters except for an increase in the relative average perturbation (P value = 0.035) and a decrease in maximum phonation time (P value = 0.001) in patients with PCOS. …”
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Classification of Cognitive Workload Levels under Vague Visual Stimulation
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Estimating hydrogen absorption energy on different metal hydrides using Gaussian process regression approach
Published 2022“…<p dir="ltr">Hydrogen is a promising alternative energy source due to its significantly high energy density. Also, hydrogen can be transformed into electricity in energy systems such as fuel cells. …”
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Preoperative Bevacizumab Does Not Significantly Increase Postoperative Complication Rates in Patients Undergoing Hepatic Surgery for Colorectal Cancer Liver Metastases
Published 2008“…Univariate and multivariate logistic regression models were used to evaluate the association of patient and tumor characteristics, neoadjuvant therapy, and operative factors with postoperative complications. …”
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Essays on the effect of excess compensation and governance changes on firm value
Published 2012“…This dissertation consists of three essays on the effect of excess compensation and corporate governance changes on the firm’s performance. The first paper utilizes a cost minimization stochastic frontier approach to investigate the efficiency of director total compensation. …”
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Metabolomics of Dynamic Changes in Insulin Resistance Before and After Exercise in PCOS
Published 2019“…While compering within the groups, no significant changes in the amino acid levels before and after exercise were observed. …”
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Herpes simplex virus type 1 epidemiology in the Middle East and North Africa: systematic review, meta-analyses, and meta-regressions
Published 2019“…Assay type, sex, population type, year of data collection, year of publication, sample size, and sampling method were not significantly associated with seroprevalence. …”
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