Search alternatives:
codings optimization » codon optimization (Expand Search), joint optimization (Expand Search), routing optimization (Expand Search)
model optimization » codon optimization (Expand Search), global optimization (Expand Search), based optimization (Expand Search)
data codings » data recordings (Expand Search), data encoding (Expand Search), data codes (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
binary fast » binary mask (Expand Search)
fast model » first model (Expand Search), rat model (Expand Search), best model (Expand Search)
codings optimization » codon optimization (Expand Search), joint optimization (Expand Search), routing optimization (Expand Search)
model optimization » codon optimization (Expand Search), global optimization (Expand Search), based optimization (Expand Search)
data codings » data recordings (Expand Search), data encoding (Expand Search), data codes (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
binary fast » binary mask (Expand Search)
fast model » first model (Expand Search), rat model (Expand Search), best model (Expand Search)
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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). …”
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Bayesian sequential design for sensitivity experiments with hybrid responses
Published 2023“…To deal with the problem of complex computation involved in searching for optimal designs, fast algorithms are presented using two strategies to approximate the optimal criterion, denoted as SI-optimal design and Bayesian D-optimal design, respectively. …”
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Fortran & C++: design fractal-type optical diffractive element
Published 2022“…</p> <p>(4) export geometry/optics raw data and figures for binary DOE devices.</p> <p><br></p> <p>[Wolfram Mathematica code "square_triangle_DOE.nb"]:</p> <p>read the optimized binary DOE document (after Fortran & C++ code) to calculate its diffractive fields for comparison.…”