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Feature Ranking for Feature Sorting and Feature Selection, and Feature Sorting: FR4(FSoFS)$$FSo.

, , , , и . SOCO, том 531 из Lecture Notes in Networks and Systems, стр. 575-583. Springer, (2022)

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Antonio J Levy

Antonio F J Bellote

Pedro Ballesteros Barahona

Bernardo Ballesteros Katemann

Iris Ballesteros-Tolosana

 

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Contemporary training methodologies based on evolutionary artificial neural networks with product and sigmoid neurons for classification.. AI Commun., 29 (3): 469-471 (2016)Supervised Machine Learning Techniques in the Bitcoin Transactions. A Case of Ransomware Classification., и . SOCO, том 1401 из Advances in Intelligent Systems and Computing, стр. 803-810. Springer, (2021)A Novel Pre-processing Method for Enhancing Classification Over Sensor Data Streams Using Subspace Probability Detection., , , , , и . HAIS, том 12886 из Lecture Notes in Computer Science, стр. 38-49. Springer, (2021)Tackling Ant Colony Optimization Meta-Heuristic as Search Method in Feature Subset Selection Based on Correlation or Consistency Measures., и . IDEAL, том 8669 из Lecture Notes in Computer Science, стр. 386-393. Springer, (2014)Understanding Matching Data Through Their Partial Components., , , и . IDEAL, том 10585 из Lecture Notes in Computer Science, стр. 599-606. Springer, (2017)Data Cleansing Meets Feature Selection: A Supervised Machine Learning Approach., и . IWINAC (2), том 9108 из Lecture Notes in Computer Science, стр. 369-378. Springer, (2015)New training approaches for classification based on evolutionary neural networks. Application to product and sigmoidal units.. Inteligencia Artif., 17 (54): 30-34 (2014)Feature Ranking for Feature Sorting and Feature Selection, and Feature Sorting: FR4(FSoFS)$$FSo., , , , и . SOCO, том 531 из Lecture Notes in Networks and Systems, стр. 575-583. Springer, (2022)Addressing Low Dimensionality Feature Subset Selection: ReliefF(-k) or Extended Correlation-Based Feature Selection(eCFS)?, , и . SOCO, том 950 из Advances in Intelligent Systems and Computing, стр. 251-260. Springer, (2019)Predicting concentration levels of air pollutants by transfer learning and recurrent neural network., , , , и . Knowl. Based Syst., (2020)