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A Constructive Neural Network to Predict Pitting Corrosion Status of Stainless Steel.

, , , , , and . IWANN (1), volume 7902 of Lecture Notes in Computer Science, page 88-95. Springer, (2013)

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Use of q-values to Improve a Genetic Algorithm to Identify Robust Gene Signatures., , , , , and . CIBB, volume 8623 of Lecture Notes in Computer Science, page 199-206. Springer, (2014)Deep neural networks architecture driven by problem-specific information., , , , , and . Neural Comput. Appl., 33 (15): 9403-9423 (2021)Special issue SOCO 2020: New trends in soft computing and its application in industrial and environmental problems., , , , and . Neurocomputing, (2022)Advanced Machine Learning techniques for fake news (online disinformation) detection: A systematic mapping study., , , , , , , and . Appl. Soft Comput., (2021)A Machine Learning Approach to Predict MRI Brain Abnormalities in Preterm Infants Using Clinical Data., , , , and . IWBBIO (1), volume 13919 of Lecture Notes in Computer Science, page 419-430. Springer, (2023)MetODeep: A Deep Learning Approach for Prediction of Methionine Oxidation Sites in Proteins., , , and . IJCNN, page 1-8. IEEE, (2019)Deep Learning to Analyze RNA-Seq Gene Expression Data., , , , and . IWANN (2), volume 10306 of Lecture Notes in Computer Science, page 50-59. Springer, (2017)Data Dimension and Structure Effects in Predictive Performance of Deep Neural Networks., , and . SoMeT, volume 303 of Frontiers in Artificial Intelligence and Applications, page 361-372. IOS Press, (2018)Classification of high dimensional data using LASSO ensembles., , and . SSCI, page 1-7. IEEE, (2017)Combining feature engineering and feature selection to improve the prediction of methionine oxidation sites in proteins., , , , and . Neural Comput. Appl., 32 (2): 323-334 (2020)