Datasets (systems and benchmarks) used in the selected studies to train RNN models.</p
Overview of the datasets and their distributions of active and inactive experimental results.</p
Performance of machine learning models on test set using the ROSE-adjusted balanced training set.</p
Performance comparison of a species-specific predictor using the test dataset.</p
Analysis of the selected studies in terms of tools used for implementing RNN models.</p
Comparison of detection techniques based on RNN applications with OJClone dataset.</p
Comparison of detection techniques based on RNN applications with BigCloneBench dataset.</p
<p>Experimental siRNA datasets used to establish computational models predicting siRNA efficacy.</p
<p>The different datasets constructed and used in this study and their composition.</p
model weights used in the experiment. InceptionResnetV2, MobilenetV2, Resnet50V5, Resnet152 and Xcep...
<p>Dataset names, number of data samples, data dimension and number of classes of the 6 benchmark da...
<p>This dataset was used to create the predictive model applied to all other datasets.</p
<p>The training data set “MG” is used. (A) The gain parameter . (B) The bias parameter .</p
<p>Summary of experimental dataset types and where they are integrated into the computational model....
Evaluation of models trained on the Oslo-CoMet dataset from finetuning the entire architecture.</p
A collection of real and simulated datasets used for benchmarking MARGARET against other state-of-th...
Overview of the datasets and their distributions of active and inactive experimental results.</p
Performance of machine learning models on test set using the ROSE-adjusted balanced training set.</p
Performance comparison of a species-specific predictor using the test dataset.</p
Analysis of the selected studies in terms of tools used for implementing RNN models.</p
Comparison of detection techniques based on RNN applications with OJClone dataset.</p
Comparison of detection techniques based on RNN applications with BigCloneBench dataset.</p
<p>Experimental siRNA datasets used to establish computational models predicting siRNA efficacy.</p
<p>The different datasets constructed and used in this study and their composition.</p
model weights used in the experiment. InceptionResnetV2, MobilenetV2, Resnet50V5, Resnet152 and Xcep...
<p>Dataset names, number of data samples, data dimension and number of classes of the 6 benchmark da...
<p>This dataset was used to create the predictive model applied to all other datasets.</p
<p>The training data set “MG” is used. (A) The gain parameter . (B) The bias parameter .</p
<p>Summary of experimental dataset types and where they are integrated into the computational model....
Evaluation of models trained on the Oslo-CoMet dataset from finetuning the entire architecture.</p
A collection of real and simulated datasets used for benchmarking MARGARET against other state-of-th...
Overview of the datasets and their distributions of active and inactive experimental results.</p
Performance of machine learning models on test set using the ROSE-adjusted balanced training set.</p
Performance comparison of a species-specific predictor using the test dataset.</p
DOI
Add to ORKG