Components of Stochastic Reaction-Diffusion-Dynamics model implemented in CellDynaMo package. by Evgenii Kliuchnikov (12770739)

The computational auditory signal processing and perception model (CASP): A revised model implementation by Lily Cassandra Paulick (11981420)

Appendix C. Model implementation details and JAGS code for the northern dusky salamander model. by Elise F. Zipkin (285168)

“…Model implementation details and JAGS code for the northern dusky salamander model.…”

Neural network model implementing a FRF (Filter-Rectify-Filter) arrangement for texture segmentation. by Christopher DiMattina (6475880)

Performance of unweighted versus weighted gradient boosting model implementations by weight variability and sample size. by Nathaniel MacNell (13886145)

“…<p>Performance of unweighted versus weighted gradient boosting model implementations by weight variability and sample size.…”

Performance of unweighted versus weighted gradient boosting model implementations by sample size (baseline simulations). by Nathaniel MacNell (13886145)

“…<p>Performance of unweighted versus weighted gradient boosting model implementations by sample size (baseline simulations).…”

Performance of unweighted versus weighted gradient boosting model implementations with no marginal predictors, by sample size. by Nathaniel MacNell (13886145)

Schematic of model, implementation of GLUT1-deficiency and effects of glucose transport deficiency on selected metabolites. by Jay S. Coggan (11195904)

Performance of unweighted versus weighted gradient boosting model implementations by predictor strength and sample size. by Nathaniel MacNell (13886145)

“…<p>Performance of unweighted versus weighted gradient boosting model implementations by predictor strength and sample size.…”

Supplement 1. Symbiont population dynamics data set and cost or benefit model implementation in R. by R. Cunning (2929170)

“…<h2>File List</h2><div> <p><a href="Pdam_dataset.csv">Pdam_dataset.csv</a> (MD5: f339fb38a32a02c75d8af0b2658d146d)</p> <p><a href="Pdam_metadata.csv">Pdam_metadata.csv</a> (MD5: 50a904eedb36ce85111a3e674d09a449)</p> <p><a href="Pdam_fitModel.R">Pdam_fitModel.R</a> (MD5: c8104a06f0574a6eb4ffb2ddb1c08b19)</p> <p><a href="Pdam_runModel.R">Pdam_runModel.R</a> (MD5: 6860a90a42c2fc5bb356faed79afa874)</p> </div><h2>Description</h2><div> <p>These supplements are designed to allow the reader to reproduce the cost or benefit model implemented in this study using the statistical package R. …”

Dataset decomposition obtained by means of a multiplicative model implemented in the algorithm described in the Methods section. by Edoardo Saccenti (217343)

Model Implementation : A Survey on Parallel and Distributed Multi-Agent Systems for High Performance Computing by Alban Rousset (802203)

Comparison in cases reported in 2019 (the year proceeding the optimal model) and 2020 (the year of optimal model implementation). by Tiawanlyn G. Godwin-Akpan (15447213)

“…<p>Comparison in cases reported in 2019 (the year proceeding the optimal model) and 2020 (the year of optimal model implementation).</p>…”

AIC scores and likelihood estimates for the data set analyzed for each model implemented by ChromEvol software. by Danon Clemes Cardoso (392174)

SOWFA simulation setup belonging to the paper: The revised FLORIDyn model: Implementation of heterogeneous flow and the Gaussian wake by Marcus Becker (10155428)

Evolution of the Tp2 locus: likelihood values (lnL) and parameter estimates for the evolutionary models implemented. by Roger Pelle (59739)

Scheme of model implementation for estimating temperature-dependent <i>S</i>. <i>litura</i> population growth. by Babasaheb B. Fand (732726)

“…<p>Scheme of model implementation for estimating temperature-dependent <i>S</i>. …”

Phylogenetic relationships among adenovirus polymerase sequences inferred using the amino acid models implemented in MrBayes. by Jill M. Ascher (401418)

Evolution of the Tp1 locus: likelihood value (lnL) and parameter estimates for six evolution models implemented. by Roger Pelle (59739)

Basic CNN architecture that was used in building promoter models implemented in the learnCNN.py program [3, 10]. by Martin Triska (4425007)

“…<p>Basic CNN architecture that was used in building promoter models implemented in the learnCNN.py program [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0187243#pone.0187243.ref003" target="_blank">3</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0187243#pone.0187243.ref010" target="_blank">10</a>].…”