264 related articles for article (PubMed ID: 28113635)
21. Adaptive Grouping Cloud Model Shuffled Frog Leaping Algorithm for Solving Continuous Optimization Problems.
Liu H; Yi F; Yang H
Comput Intell Neurosci; 2016; 2016():5675349. PubMed ID: 26819584
[TBL] [Abstract][Full Text] [Related]
22. A Novel Feature Selection Method for High-Dimensional Biomedical Data Based on an Improved Binary Clonal Flower Pollination Algorithm.
Yan C; Ma J; Luo H; Zhang G; Luo J
Hum Hered; 2019; 84(1):34-46. PubMed ID: 31466062
[TBL] [Abstract][Full Text] [Related]
23. A Hybrid Gene Selection Method Based on ReliefF and Ant Colony Optimization Algorithm for Tumor Classification.
Sun L; Kong X; Xu J; Xue Z; Zhai R; Zhang S
Sci Rep; 2019 Jun; 9(1):8978. PubMed ID: 31222027
[TBL] [Abstract][Full Text] [Related]
24. An Efficient Hybrid Feature Selection Method Using the Artificial Immune Algorithm for High-Dimensional Data.
Zhu Y; Li T; Li W
Comput Intell Neurosci; 2022; 2022():1452301. PubMed ID: 36275946
[TBL] [Abstract][Full Text] [Related]
25. Classification of Medical Datasets Using SVMs with Hybrid Evolutionary Algorithms Based on Endocrine-Based Particle Swarm Optimization and Artificial Bee Colony Algorithms.
Lin KC; Hsieh YH
J Med Syst; 2015 Oct; 39(10):306. PubMed ID: 26289628
[TBL] [Abstract][Full Text] [Related]
26. Chaotic particle swarm optimization with mutation for classification.
Assarzadeh Z; Naghsh-Nilchi AR
J Med Signals Sens; 2015; 5(1):12-20. PubMed ID: 25709937
[TBL] [Abstract][Full Text] [Related]
27. An attribute weight assignment and particle swarm optimization algorithm for medical database classifications.
Chang PC; Lin JJ; Liu CH
Comput Methods Programs Biomed; 2012 Sep; 107(3):382-92. PubMed ID: 21194784
[TBL] [Abstract][Full Text] [Related]
28. An Adaptive Cultural Algorithm with Improved Quantum-behaved Particle Swarm Optimization for Sonar Image Detection.
Wang X; Hao W; Li Q
Sci Rep; 2017 Dec; 7(1):17733. PubMed ID: 29255162
[TBL] [Abstract][Full Text] [Related]
29. Medical data mining by fuzzy modeling with selected features.
Ghazavi SN; Liao TW
Artif Intell Med; 2008 Jul; 43(3):195-206. PubMed ID: 18534831
[TBL] [Abstract][Full Text] [Related]
30. A novel feature selection approach for biomedical data classification.
Peng Y; Wu Z; Jiang J
J Biomed Inform; 2010 Feb; 43(1):15-23. PubMed ID: 19647098
[TBL] [Abstract][Full Text] [Related]
31. Investigation of Effectiveness of Shuffled Frog-Leaping Optimizer in Training a Convolution Neural Network.
Baseri Saadi S; Tataei Sarshar N; Sadeghi S; Ranjbarzadeh R; Kooshki Forooshani M; Bendechache M
J Healthc Eng; 2022; 2022():4703682. PubMed ID: 35368933
[TBL] [Abstract][Full Text] [Related]
32. An effective hybrid cuckoo search algorithm with improved shuffled frog leaping algorithm for 0-1 knapsack problems.
Feng Y; Wang GG; Feng Q; Zhao XJ
Comput Intell Neurosci; 2014; 2014():857254. PubMed ID: 25404940
[TBL] [Abstract][Full Text] [Related]
33. The feature selection bias problem in relation to high-dimensional gene data.
Krawczuk J; Łukaszuk T
Artif Intell Med; 2016 Jan; 66():63-71. PubMed ID: 26674595
[TBL] [Abstract][Full Text] [Related]
34. Medical data mining in sentiment analysis based on optimized swarm search feature selection.
Zeng D; Peng J; Fong S; Qiu Y; Wong R
Australas Phys Eng Sci Med; 2018 Dec; 41(4):1087-1100. PubMed ID: 30206813
[TBL] [Abstract][Full Text] [Related]
35. A novel divide-and-merge classification for high dimensional datasets.
Seo M; Oh S
Comput Biol Chem; 2013 Feb; 42():23-34. PubMed ID: 23257411
[TBL] [Abstract][Full Text] [Related]
36. Recognizing common CT imaging signs of lung diseases through a new feature selection method based on Fisher criterion and genetic optimization.
Liu X; Ma L; Song L; Zhao Y; Zhao X; Zhou C
IEEE J Biomed Health Inform; 2015 Mar; 19(2):635-47. PubMed ID: 25486652
[TBL] [Abstract][Full Text] [Related]
37. A novel class dependent feature selection method for cancer biomarker discovery.
Zhou W; Dickerson JA
Comput Biol Med; 2014 Apr; 47():66-75. PubMed ID: 24561345
[TBL] [Abstract][Full Text] [Related]
38. Feature selection and classifier performance on diverse bio- logical datasets.
Hemphill E; Lindsay J; Lee C; Măndoiu II; Nelson CE
BMC Bioinformatics; 2014; 15 Suppl 13(Suppl 13):S4. PubMed ID: 25434802
[TBL] [Abstract][Full Text] [Related]
39. Ensemble of sparse classifiers for high-dimensional biological data.
Kim S; Scalzo F; Telesca D; Hu X
Int J Data Min Bioinform; 2015; 12(2):167-83. PubMed ID: 26510301
[TBL] [Abstract][Full Text] [Related]
40. A granular computing approach to gene selection.
Sun L; Xu J
Biomed Mater Eng; 2014; 24(1):1307-14. PubMed ID: 24212026
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
