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Combining variable neighborhood with gradient ascent for learning to rank problem.

, и . Neural Comput. Appl., 35 (17): 12599-12610 (июня 2023)

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Sadek Ali

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A new weighting scheme and discriminative approach for information retrieval in static and dynamic document collections., и . UKCI, стр. 1-8. IEEE, (2014)(1+1)-Evolutionary Gradient Strategy to Evolve Global Term Weights in Information Retrieval., и . UKCI, том 513 из Advances in Intelligent Systems and Computing, стр. 387-405. Springer, (2016)Evolutionary algorithms and machine learning techniques for information retrieval.. University of Nottingham, UK, (2017)British Library, EThOS.Combining variable neighborhood with gradient ascent for learning to rank problem., и . Neural Comput. Appl., 35 (17): 12599-12610 (июня 2023)ES-Rank: evolution strategy learning to rank approach., и . SAC, стр. 944-950. ACM, (2017)A two-stage framework for Arabic social media text misinformation detection combining data augmentation and AraBERT., , , и . Soc. Netw. Anal. Min., 14 (1): 53 (декабря 2024)Term frequency with average term occurrences for textual information retrieval., и . Soft Comput., 20 (8): 3045-3061 (2016)A survey on improving pattern matching algorithms for biological sequences., , и . Concurr. Comput. Pract. Exp., (2022)A new fast technique for pattern matching in biological sequences., , и . J. Supercomput., 79 (1): 367-388 (2023)Correction: Machine learning for human emotion recognition: a comprehensive review., , , и . Neural Comput. Appl., 36 (16): 8949 (июня 2024)