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Neural architecture search with interpretable meta-features and fast predictors.

, , , , , и . Inf. Sci., (ноября 2023)

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Marco André d'Ávila Carvalho

P L Kinney

Luiz Cláudio ˜deœ Carvalho

André G. C. Pacheco

Irene Melo de Carvalho

 

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Neural architecture search with interpretable meta-features and fast predictors., , , , , и . Inf. Sci., (ноября 2023)The NoiseFiltersR Package: Label Noise Preprocessing in R., , , , , и . R J., 9 (1): 219 (2017)<tt>CRISPRloci: </tt> comprehensive and accurate annotation of CRISPR-Cas systems., , , , , , , , , и 2 other автор(ы). Nucleic Acids Res., 49 (Webserver-Issue): 125-130 (2021)Information Theory for Biological Sequence Classification: A Novel Feature Extraction Technique Based on Tsallis Entropy., , , , , , и . Entropy, 24 (10): 1398 (2022)A hybrid meta-learning architecture for multi-objective optimization of SVM parameters., , , и . Neurocomputing, (2014)Inducing Hierarchical Multi-label Classification rules with Genetic Algorithms., , , и . Appl. Soft Comput., (2019)Top-Down Hierarchical Ensembles of Classifiers for Predicting G-Protein-Coupled-Receptor Functions., , , и . BSB, том 5167 из Lecture Notes in Computer Science, стр. 35-46. Springer, (2008)A label ranking approach for selecting rankings of collaborative filtering algorithms., , и . SAC, стр. 1393-1395. ACM, (2018)Using the One-vs-One decomposition to improve the performance of class noise filters via an aggregation strategy in multi-class classification problems., , , , , и . Knowl. Based Syst., (2015)CF4CF-META: Hybrid Collaborative Filtering Algorithm Selection Framework., , и . DS, том 11198 из Lecture Notes in Computer Science, стр. 114-128. Springer, (2018)