Search alternatives:
where optimization » whale optimization (Expand Search), phase optimization (Expand Search), other optimization (Expand Search)
code optimization » codon optimization (Expand Search), model optimization (Expand Search), dose optimization (Expand Search)
binary dataset » final dataset (Expand Search), ovary dataset (Expand Search), bin dataset (Expand Search)
dataset where » dataset when (Expand Search), dataset over (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
data code » data model (Expand Search), data came (Expand Search)
where optimization » whale optimization (Expand Search), phase optimization (Expand Search), other optimization (Expand Search)
code optimization » codon optimization (Expand Search), model optimization (Expand Search), dose optimization (Expand Search)
binary dataset » final dataset (Expand Search), ovary dataset (Expand Search), bin dataset (Expand Search)
dataset where » dataset when (Expand Search), dataset over (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
data code » data model (Expand Search), data came (Expand Search)
-
1
-
2
-
3
-
4
-
5
-
6
-
7
-
8
-
9
Hyperparameters of the LSTM Model.
Published 2025“…This effectively balances exploration and exploitation, and addresses the early convergence problem of the original algorithms. To choose the most crucial characteristics of the dataset, the feature selection method employs the binary format of AD-PSO-Guided WOA. …”
-
10
Prediction results of individual models.
Published 2025“…This effectively balances exploration and exploitation, and addresses the early convergence problem of the original algorithms. To choose the most crucial characteristics of the dataset, the feature selection method employs the binary format of AD-PSO-Guided WOA. …”
-
11
The AD-PSO-Guided WOA LSTM framework.
Published 2025“…This effectively balances exploration and exploitation, and addresses the early convergence problem of the original algorithms. To choose the most crucial characteristics of the dataset, the feature selection method employs the binary format of AD-PSO-Guided WOA. …”
-
12
<i>hi</i>PRS algorithm process flow.
Published 2023“…<b>(C)</b> The whole training data is then scanned, searching for these sequences and deriving a re-encoded dataset where interaction terms are binary features (i.e., 1 if sequence <i>i</i> is observed in <i>j</i>-th patient genotype, 0 otherwise). …”
-
13
-
14
-
15
-
16
-
17
-
18
-
19
Algoritmo de clasificación de expresiones de odio por tipos en español (Algorithm for classifying hate expressions by type in Spanish)
Published 2024“…</li></ul><p dir="ltr"><b>File Structure</b></p><p dir="ltr">The code generates and saves:</p><ul><li>Weights of the trained model (.h5)</li><li>Configured tokenizer</li><li>Training history in CSV</li><li>Requirements file</li></ul><p dir="ltr"><b>Important Notes</b></p><ul><li>The model excludes category 2 during training</li><li>Implements transfer learning from a pre-trained model for binary hate detection</li><li>Includes early stopping callbacks to prevent overfitting</li><li>Uses class weighting to handle category imbalances</li></ul><p dir="ltr">The process of creating this algorithm is explained in the technical report located at: Blanco-Valencia, X., De Gregorio-Vicente, O., Ruiz Iniesta, A., & Said-Hung, E. (2025). …”
-
20