359 related articles for article (PubMed ID: 28633551)
1. A Pareto-based Ensemble with Feature and Instance Selection for Learning from Multi-Class Imbalanced Datasets.
Fernández A; Carmona CJ; José Del Jesus M; Herrera F
Int J Neural Syst; 2017 Sep; 27(6):1750028. PubMed ID: 28633551
[TBL] [Abstract][Full Text] [Related]
2. A scalable memetic algorithm for simultaneous instance and feature selection.
García-Pedrajas N; de Haro-García A; Pérez-Rodríguez J
Evol Comput; 2014; 22(1):1-45. PubMed ID: 23544367
[TBL] [Abstract][Full Text] [Related]
3. Ensemble of Rotation Trees for Imbalanced Medical Datasets.
Guo H; Liu H; Wu CA; Liu W; She W
J Healthc Eng; 2018; 2018():8902981. PubMed ID: 29850005
[TBL] [Abstract][Full Text] [Related]
4. Multi-objective evolutionary algorithms for fuzzy classification in survival prediction.
Jiménez F; Sánchez G; Juárez JM
Artif Intell Med; 2014 Mar; 60(3):197-219. PubMed ID: 24525210
[TBL] [Abstract][Full Text] [Related]
5. Constructing ensembles of classifiers by means of weighted instance selection.
García-Pedrajas N
IEEE Trans Neural Netw; 2009 Feb; 20(2):258-77. PubMed ID: 19179252
[TBL] [Abstract][Full Text] [Related]
6. A hybrid cost-sensitive ensemble for imbalanced breast thermogram classification.
Krawczyk B; Schaefer G; Woźniak M
Artif Intell Med; 2015 Nov; 65(3):219-27. PubMed ID: 26319694
[TBL] [Abstract][Full Text] [Related]
7. Feature Selection and Classification of Clinical Datasets Using Bioinspired Algorithms and Super Learner.
Murugesan S; Bhuvaneswaran RS; Khanna Nehemiah H; Keerthana Sankari S; Nancy Jane Y
Comput Math Methods Med; 2021; 2021():6662420. PubMed ID: 34055041
[TBL] [Abstract][Full Text] [Related]
8. Feature Selection for High-Dimensional and Imbalanced Biomedical Data Based on Robust Correlation Based Redundancy and Binary Grasshopper Optimization Algorithm.
Abdulrauf Sharifai G; Zainol Z
Genes (Basel); 2020 Jun; 11(7):. PubMed ID: 32605144
[TBL] [Abstract][Full Text] [Related]
9. Heterogeneous Ensemble Combination Search Using Genetic Algorithm for Class Imbalanced Data Classification.
Haque MN; Noman N; Berretta R; Moscato P
PLoS One; 2016; 11(1):e0146116. PubMed ID: 26764911
[TBL] [Abstract][Full Text] [Related]
10. Multi-Objective Particle Swarm Optimization Approach for Cost-Based Feature Selection in Classification.
Zhang Y; Gong DW; Cheng J
IEEE/ACM Trans Comput Biol Bioinform; 2017; 14(1):64-75. PubMed ID: 26353379
[TBL] [Abstract][Full Text] [Related]
11. Evolutionary undersampling for classification with imbalanced datasets: proposals and taxonomy.
García S; Herrera F
Evol Comput; 2009; 17(3):275-306. PubMed ID: 19708770
[TBL] [Abstract][Full Text] [Related]
12. Experimental Study and Comparison of Imbalance Ensemble Classifiers with Dynamic Selection Strategy.
Zhao D; Wang X; Mu Y; Wang L
Entropy (Basel); 2021 Jun; 23(7):. PubMed ID: 34203274
[TBL] [Abstract][Full Text] [Related]
13. Automatic feed phase identification in multivariate bioprocess profiles by sequential binary classification.
Nikzad-Langerodi R; Lughofer E; Saminger-Platz S; Zahel T; Sagmeister P; Herwig C
Anal Chim Acta; 2017 Aug; 982():48-61. PubMed ID: 28734365
[TBL] [Abstract][Full Text] [Related]
14. Particle swarm optimization for feature selection in classification: a multi-objective approach.
Xue B; Zhang M; Browne WN
IEEE Trans Cybern; 2013 Dec; 43(6):1656-71. PubMed ID: 24273143
[TBL] [Abstract][Full Text] [Related]
15. Protein classification with imbalanced data.
Zhao XM; Li X; Chen L; Aihara K
Proteins; 2008 Mar; 70(4):1125-32. PubMed ID: 18076026
[TBL] [Abstract][Full Text] [Related]
16. Class-imbalanced classifiers for high-dimensional data.
Lin WJ; Chen JJ
Brief Bioinform; 2013 Jan; 14(1):13-26. PubMed ID: 22408190
[TBL] [Abstract][Full Text] [Related]
17. Classification of ADHD with fMRI data and multi-objective optimization.
Shao L; You Y; Du H; Fu D
Comput Methods Programs Biomed; 2020 Nov; 196():105676. PubMed ID: 32791440
[TBL] [Abstract][Full Text] [Related]
18. Mining features for biomedical data using clustering tree ensembles.
Pliakos K; Vens C
J Biomed Inform; 2018 Sep; 85():40-48. PubMed ID: 30012356
[TBL] [Abstract][Full Text] [Related]
19. Ensemble learning with active example selection for imbalanced biomedical data classification.
Oh S; Lee MS; Zhang BT
IEEE/ACM Trans Comput Biol Bioinform; 2011; 8(2):316-25. PubMed ID: 20876935
[TBL] [Abstract][Full Text] [Related]
20. Identifying (Quasi) Equally Informative Subsets in Feature Selection Problems for Classification: A Max-Relevance Min-Redundancy Approach.
Karakaya G; Galelli S; Ahipasaoglu SD; Taormina R
IEEE Trans Cybern; 2016 Jun; 46(6):1424-37. PubMed ID: 26151949
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]