
iRSpotTNCPseAAC
 Referenced in 31 articles
[sw22412]
 accuracy, Mathew’s correlation coefficient, and sensitivity, indicating that the new predictor may become...

GUIHDMR
 Referenced in 21 articles
[sw07924]
 input parameters. Furthermore, variance based sensitivity indices can be determined in an automatic...

NINJA
 Referenced in 37 articles
[sw02398]
 particularly performancesensitive field of numerical computing, initial measurements indicated a hundredfold performance disadvantage...

TEIRESIAS
 Referenced in 15 articles
[sw35978]
 consideration. Finally, experimental analysis indicates that the algorithm is output sensitive, i.e. its running time...

gvlma
 Referenced in 5 articles
[sw11196]
 unusual observations. Simulation results are presented indicating the sensitivity of the procedure in detecting model...

UQToolbox
 Referenced in 2 articles
[sw20360]
 Model Representation; ANOVA; Global Sensitivity (Total Sensitivity Indices); Model reduction (Karhunen–Loève expansion...

sensobol
 Referenced in 1 article
[sw37035]
 package sensobol: Computation of VarianceBased Sensitivity Indices. It allows to rapidly compute, bootstrap ... thirdorder Sobol’based sensitivity indices using several stateoftheart first and total ... order estimators. Sobol’ indices can be computed either for models that yield a scalar ... figures of the model output uncertainty and sensitivityrelated analysis...

weightedHypervolume
 Referenced in 27 articles
[sw31878]
 recent years. So far, the hypervolume indicator is the only measure known in the literature ... properties. On the one hand, it is sensitive to any type of improvements, i.e., whenever ... recently proposed approach of a weighted hypervolume indicator, these properties are not removed by simultaneously...

DyGloSA
 Referenced in 1 article
[sw32749]
 Revealed with DyGloSA Toolbox for Dynamical Global Sensitivity Analysis as an Early Warning for System ... ecosystems it is highly desirable to identify indicators serving as early warnings of such regime ... MATLAB toolbox for dynamical global parameter sensitivity analysis (GPSA) of ordinary differential equations models ... functions, which compute dynamically the global sensitivity indices of the system by applying four main...

NISP
 Referenced in 1 article
[sw32115]
 chaos polynomial are computed, the associated sensitivity indices are straightforward to get. This toolbox...

MINMOD
 Referenced in 11 articles
[sw16356]
 known analitically) are computed according to the ‘sensitivity approach’. The program yields the parameter estimates ... parameters, it is possible to extract four indices: (1) SG, the ability of glucose ... basal insulin, (2) S1, the tissue insulin sensitivity index, (3) φ1, first phase pancreatic responsitivity...

KEPLER
 Referenced in 2 articles
[sw08618]
 define the Frequency Modulation Indicator, a very sensitive tool in detecting where fundamental frequencies...

iROSgPseKNC
 Referenced in 8 articles
[sw25363]
 indicated that the proposed predictor is significantly better than the best existing method in sensitivity...

SoftCADS
 Referenced in 3 articles
[sw36925]
 only numerical derivatives but also dynamic sensitivities with superhigh accuracies comparable to the machine accuracy ... comparison indicates that the improved SoftCADS shortens the calculation time of the dynamic sensitivities without...

gbs
 Referenced in 24 articles
[sw06078]
 models. This package contains probabilistic and reliability indicators and random number generators from GBS distributions ... simulation study for evaluating the quality and sensitivity of the estimation method developed...

diffReps
 Referenced in 2 articles
[sw31661]
 treated conditions. The results indicated that diffReps is a highly sensitive program in detecting differential...

CONN
 Referenced in 2 articles
[sw26510]
 measures. The results indicate that the CompCor method increases the sensitivity and selectivity of fcMRI...

AUTOIK
 Referenced in 2 articles
[sw21228]
 continuous data, computation and modeling of indicator semivariograms, modeling of probability distributions at unmonitored locations ... dataset. A sensitivity analysis demonstrates the benefit of using more thresholds when indicator kriging...

MiPred
 Referenced in 5 articles
[sw29580]
 method predicts at 98.21% specificity and 95.09% sensitivity. When compared with the previous study, Triplet ... greater in total accuracy. Further analysis indicated that the improvement was due to both...

Phast
 Referenced in 2 articles
[sw25880]
 times faster and up to 15% more sensitive. It is also able to process ... both circular and linear genomic views.Furthermore, tests indicate that PHAST is as accurate or slightly ... than all available phage finding tools, with sensitivity of 85.4% and positive predictive value...