Search alternatives:
robust optimization » process optimization (Expand Search), robust estimation (Expand Search), joint optimization (Expand Search)
location algorithm » selection algorithm (Expand Search), encryption algorithm (Expand Search), correction algorithm (Expand Search)
learning location » learning application (Expand Search), learning motivation (Expand Search), learning applications (Expand Search)
mask learning » task learning (Expand Search), maze learning (Expand Search), mfs learning (Expand Search)
binary mask » binary image (Expand Search)
binary b » binary _ (Expand Search)
b robust » _ robust (Expand Search), a robust (Expand Search)
robust optimization » process optimization (Expand Search), robust estimation (Expand Search), joint optimization (Expand Search)
location algorithm » selection algorithm (Expand Search), encryption algorithm (Expand Search), correction algorithm (Expand Search)
learning location » learning application (Expand Search), learning motivation (Expand Search), learning applications (Expand Search)
mask learning » task learning (Expand Search), maze learning (Expand Search), mfs learning (Expand Search)
binary mask » binary image (Expand Search)
binary b » binary _ (Expand Search)
b robust » _ robust (Expand Search), a robust (Expand Search)
-
1
-
2
-
3
-
4
-
5
Algoritmo de detección de odio en español (Algorithm for detection of hate speech in Spanish)
Published 2024“…</li><li>It uses input IDs and attention masks as inputs.</li><li>It generates a binary classification (hate vs. non-hate).…”
-
6
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). …”
-
7
Models and Dataset
Published 2025“…<p dir="ltr"><b>P3DE (Parameter-less Population Pyramid with Deep Ensemble):</b><br>P3DE is a hybrid feature selection framework that combines the Parameter-less Population Pyramid (P3) metaheuristic optimization algorithm with a deep ensemble of autoencoders. …”
-
8
Supplementary Material 8
Published 2025“…</li><li><b>XGboost: </b>An optimized gradient boosting algorithm that efficiently handles large genomic datasets, commonly used for high-accuracy predictions in <i>E. coli</i> classification.…”