Source code for 'Lemna: Explaining deep learning based security applications'.
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May 15, 2020 - Python
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local-regression
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resemble is an R package which implements functions dedicated to non-linear modelling of complex spectroscopy data
machine-learning chemoinformatics spectroscopy spectral-data chemometrics nir local-regression pedometrics soil-spectroscopy lazy-learning spectral-library infrared-spectroscopy memory-based-learning
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Oct 17, 2025 - R
Wind Power Prediction with ECMWF Data as Input using Statistical Learning
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Apr 7, 2020 - PostScript
A library of smoothing kernels in multiple languages for use in kernel regression and kernel density estimation.
statistics kernel kernel-methods kernel-smoother nonparametric kernel-density-estimation local-regression kernel-regression
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Feb 9, 2017
Comparative analysis of nonparametric regression methods (KNN, LOWESS, Bin, Kernel, Local Linear) to explore the nonlinear relationship between health expenditure and life expectancy using WHO data (2000–2015).
python scikit-learn cross-validation data-visualization global-health statsmodels nonparametric-regression local-regression knn-regression life-expectancy lowess smoothing-methods diminishing-returns who-dataset
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Nov 8, 2025 - Jupyter Notebook
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