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The performance of the Different Machine Learning Models evaluated using the ...
The RTF model achieves the highest AUC (0.89), Sensitivity (75%), Precision (73%) and F-Score (74%). The SVM model achieves the highest Specificity (88.9%). -
Dataset Description.
† Microarray platforms used by submitter. a:GPL10558 b:GPL4133 c:GPL5175 d:GPL570 e:GPL571 f:GPL6883 g:GPL96 h:GPL1708 i:GPL6884 Dataset description. -
r37980778c78--4108d12d7cc2e6b9991f14faaea6633a
Steady state performance of the feed-forward strategy. -
Test-set Kappa for FFNN with FS (FFNN + FS) and without FS (FFNN + noFS).
SD: Standard Deviation. Trained with 60 epochs, learning rate of 0.1, one hidden fully-connected layer of size 100, and ELU activation. -
Test-set Kappa for RNN with optimization (RNN + FS + OPT) and without optimiz...
SD: Standard Deviation. -
PV module parameters at nominal operation conditions (25°C- 1000 W/m<sup>2</s...
PV module parameters at nominal operation conditions (25°C- 1000 W/m2). -
r37980778c78--6db275aa71ea043043f1611bf73c6aa3
Main characteristics of the UAV and sensor settings during the flight. -
dataset + tabled results
1031 data points meaning of each excel sheet: IN - input variable values for each data point (each data point is one row) TARGET - target variable values for each data... -
r37980778c78--c6b3fbcd173aae65d79258ff4c96f9e3
RC: Reservoir computing; FC: Fully-connected layer; CSNN: Convolutional spiking neural network; HTM: Hierarchical temporal memory; RNN: Recurrent neural network; DN: Delta network. -
Classification results for each method.
The scores for the precision, recall, F1-score, and accuracy metrics are shown for all four classification methods. The method with the highest score for each metric is... -
r37980778c78--646750553354e22269c10cb26196e05a
The various screening methods, with their sensitivities and specificities. -
Development of a Reverse Phase HPLC Retention Index Model for Nontargeted Met...
The MolFind application has been developed as a nontargeted metabolomics chemometric tool to facilitate structure identification when HPLC biofluids analysis reveals a feature... -
Holm-adjusted <i>p</i>-values for the pairwise Wilcoxon post-hoc tests.
Non-significant differences (p > 0.05) in bold. -
r37980778c78--8529b4adb39f5df848e2964d0f8e0bc6
Comparison of the performance of Artificial Neural Networks (ANN) classifier with gradient descent back-propagation using hidden units {1, 2, 4, 8} and the momentum {0,0.2, 0.5}... -
r37980778c78--7aab8e16cb802f810d9c6c6a0ad405e6
Determining the target proteins of new anticancer compounds is a very important task in Medicinal Chemistry. In this sense, chemists carry out preclinical assays with a high... -
The demographics of the NHIS dataset that was used in our ANN.
We show means and standard deviations for the continuous variables, means for the binary variables, and the percentage for each race. -
Learning method performance evaluation across different feature sets, grouped...
Performance is measured with MAPE (%). Smaller MAPE means higher forecast accuracy. D refers to calendar data, L is previous load estimation plan, P is electricity price, W is...
