
SINDy
 Referenced in 31 articles
[sw30277]
 dynamics (SINDy) is a recently proposed datadriven modelling framework that uses sparse regression techniques...

np
 Referenced in 111 articles
[sw10543]
 mean regression models and parametric quantile regression models, among others. The np package focuses ... discrete, and categorical data often found in applied settings. Datadriven methods of bandwidth selection...

TPVM
 Referenced in 9 articles
[sw03347]
 messagepassing model; (b) a datadriven instantiation model that enables straightforward specification of computation...

CANN
 Referenced in 6 articles
[sw41756]
 general approach to predictive datadriven constitutive modeling by deep learning. In this paper ... novel machine learning architecture for datadriven modeling of the mechanical constitutive behavior of materials...

PyDMD
 Referenced in 5 articles
[sw38466]
 uses Dynamic Mode Decomposition for a datadriven model simplification based on spatiotemporal coherent structures ... model reduction algorithm developed by Schmid (see ”Dynamic mode decomposition of numerical and experimental data ... highfidelity measurements, like experimental data and numerical simulations, so it is an equationfree ... system. See Kutz (”Dynamic Mode Decomposition: DataDriven Modeling of Complex Systems”) for a comprehensive...

SCAPE
 Referenced in 28 articles
[sw19408]
 PEople)a datadriven method for building a human shape model that spans variation...

3DMatch
 Referenced in 6 articles
[sw32561]
 this paper, we present 3DMatch, a datadriven model that learns a local volumetric patch...

QuantGAN
 Referenced in 5 articles
[sw42448]
 GANs: Deep Generation of Financial Time Series. Modeling financial time series by stochastic processes ... alternative, we introduce Quant GANs, a datadriven model which is inspired by the recent...

CAPUSHE
 Referenced in 62 articles
[sw13365]
 Slope heuristics: overview and implementation. Model selection is a general paradigm which includes many statistical ... have proposed a promising datadriven method to calibrate such criteria whose penalties are known...

MOSSFARM
 Referenced in 2 articles
[sw02750]
 structure selection are very important for datadriven modeling, data mining, and system identification tasks...

MLMOD
 Referenced in 1 article
[sw39711]
 MLMOD Package: Machine Learning Methods for DataDriven Modeling in LAMMPS. We discuss a software ... package for incorporating into simulations datadriven models trained using machine learning methods. These...

decon
 Referenced in 22 articles
[sw11088]
 function from contaminated data; (2) nonparametric regression model with errorsinvariables. The R functions ... data to the deconvolution kernel estimation. Several methods for the selection of the datadriven ... Deconvolution estimation in measurement error models: The R package decon. Journal of Statistical Software...

ResLogit
 Referenced in 1 article
[sw42492]
 residual neural network logit model for datadriven choice modelling. This paper presents a novel ... model formulation seamlessly integrates a Deep Neural Network (DNN) architecture into a multinomial logit model ... shown remarkable success in modelling complex and noisy behavioural data. However, econometric studies have argued ... choice analysis.We develop a datadriven choice model that extends the systematic utility function...

svars
 Referenced in 1 article
[sw38309]
 DataDriven Identification of SVAR Models. Implements datadriven identification methods for structural vector autoregressive ... /jss.v097.i05>. Based on an existing VAR model object (provided by e.g. VAR() from the ’vars ... structural impact matrix is obtained via datadriven identification techniques (i.e. changes in volatility (Rigobon...

DeepAdverserialRegulariser
 Referenced in 16 articles
[sw42064]
 modelbased methods. Among those variational regularization models are one of the most popular approaches ... propose a new framework for applying datadriven approaches to inverse problems, using a neural...

BioPreDynbench
 Referenced in 2 articles
[sw29329]
 suite of benchmark problems for dynamic modelling in systems biology. BioPreDynBench has been developed ... BioPreDyn partners are developing datadriven computational models to analyze multiscale biological networks, creating...

Distil
 Referenced in 1 article
[sw37878]
 Distil: A MixedInitiative Model Discovery System for Subject Matter Experts. We present inprogress ... with subject matter expertise to generate datadriven models using an interactive analytic question first...

CoPro
 Referenced in 1 article
[sw37594]
 CoPro: a datadriven modelling framework for conflict risk projections. In light of predicted shifts...

ShapeNet
 Referenced in 17 articles
[sw35059]
 providing many semantic annotations for each 3D model such as consistent rigid alignments, parts ... interface to enable data visualization of object attributes, promote datadriven geometric analysis, and provide ... indexed more than 3,000,000 models, 220,000 models out of which are classified...

emgr
 Referenced in 15 articles
[sw07554]
 have widespread use, for example in: model reduction, decentralized control, optimal placement, sensitivity analysis ... nonlinear systems due to their datadriven computation. The empirical Gramian framework is a compact...