570 related articles for article (PubMed ID: 26405957)
1. Classification of imbalanced bioinformatics data by using boundary movement-based ELM.
Cheng K; Chen Q; Yang X; Gao S; Yu H
Biomed Mater Eng; 2015; 26 Suppl 1():S1855-62. PubMed ID: 26405957
[TBL] [Abstract][Full Text] [Related]
2. Direct Kernel Perceptron (DKP): ultra-fast kernel ELM-based classification with non-iterative closed-form weight calculation.
Fernández-Delgado M; Cernadas E; Barro S; Ribeiro J; Neves J
Neural Netw; 2014 Feb; 50():60-71. PubMed ID: 24287336
[TBL] [Abstract][Full Text] [Related]
3. A Guaranteed Similarity Metric Learning Framework for Biological Sequence Comparison.
Hua K; Yu Q; Zhang R
IEEE/ACM Trans Comput Biol Bioinform; 2016; 13(5):868-877. PubMed ID: 26529778
[TBL] [Abstract][Full Text] [Related]
4. Mining Contiguous Sequential Generators in Biological Sequences.
Zhang J; Wang Y; Zhang C; Shi Y
IEEE/ACM Trans Comput Biol Bioinform; 2016; 13(5):855-867. PubMed ID: 26529774
[TBL] [Abstract][Full Text] [Related]
5. Bidirectional extreme learning machine for regression problem and its learning effectiveness.
Yang Y; Wang Y; Yuan X
IEEE Trans Neural Netw Learn Syst; 2012 Sep; 23(9):1498-505. PubMed ID: 24807932
[TBL] [Abstract][Full Text] [Related]
6. Applying Cost-Sensitive Extreme Learning Machine and Dissimilarity Integration to Gene Expression Data Classification.
Liu Y; Lu H; Yan K; Xia H; An C
Comput Intell Neurosci; 2016; 2016():8056253. PubMed ID: 27642292
[TBL] [Abstract][Full Text] [Related]
7. YamiPred: A Novel Evolutionary Method for Predicting Pre-miRNAs and Selecting Relevant Features.
Kleftogiannis D; Theofilatos K; Likothanassis S; Mavroudi S
IEEE/ACM Trans Comput Biol Bioinform; 2015; 12(5):1183-92. PubMed ID: 26451829
[TBL] [Abstract][Full Text] [Related]
8. Online sequential class-specific extreme learning machine for binary imbalanced learning.
Shukla S; Raghuwanshi BS
Neural Netw; 2019 Nov; 119():235-248. PubMed ID: 31472290
[TBL] [Abstract][Full Text] [Related]
9. Extreme learning machine and adaptive sparse representation for image classification.
Cao J; Zhang K; Luo M; Yin C; Lai X
Neural Netw; 2016 Sep; 81():91-102. PubMed ID: 27389571
[TBL] [Abstract][Full Text] [Related]
10. Class-specific extreme learning machine for handling binary class imbalance problem.
Raghuwanshi BS; Shukla S
Neural Netw; 2018 Sep; 105():206-217. PubMed ID: 29870928
[TBL] [Abstract][Full Text] [Related]
11. OP-ELM: optimally pruned extreme learning machine.
Miche Y; Sorjamaa A; Bas P; Simula O; Jutten C; Lendasse A
IEEE Trans Neural Netw; 2010 Jan; 21(1):158-62. PubMed ID: 20007026
[TBL] [Abstract][Full Text] [Related]
12. Evaluation of extreme learning machine for classification of individual and combined finger movements using electromyography on amputees and non-amputees.
Anam K; Al-Jumaily A
Neural Netw; 2017 Jan; 85():51-68. PubMed ID: 27814466
[TBL] [Abstract][Full Text] [Related]
13. A novel multiple instance learning method based on extreme learning machine.
Wang J; Cai L; Peng J; Jia Y
Comput Intell Neurosci; 2015; 2015():405890. PubMed ID: 25705220
[TBL] [Abstract][Full Text] [Related]
14. Weighted data gravitation classification for standard and imbalanced data.
Cano A; Zafra A; Ventura S
IEEE Trans Cybern; 2013 Dec; 43(6):1672-87. PubMed ID: 23757568
[TBL] [Abstract][Full Text] [Related]
15. Improved support vector machine classification for imbalanced medical datasets by novel hybrid sampling combining modified mega-trend-diffusion and bagging extreme learning machine model.
Lin LS; Kao CH; Li YJ; Chen HH; Chen HY
Math Biosci Eng; 2023 Sep; 20(10):17672-17701. PubMed ID: 38052532
[TBL] [Abstract][Full Text] [Related]
16. Affinity and class probability-based fuzzy support vector machine for imbalanced data sets.
Tao X; Li Q; Ren C; Guo W; He Q; Liu R; Zou J
Neural Netw; 2020 Feb; 122():289-307. PubMed ID: 31739268
[TBL] [Abstract][Full Text] [Related]
17. Imbalanced biomedical data classification using self-adaptive multilayer ELM combined with dynamic GAN.
Zhang L; Yang H; Jiang Z
Biomed Eng Online; 2018 Dec; 17(1):181. PubMed ID: 30514298
[TBL] [Abstract][Full Text] [Related]
18. Sparse Bayesian extreme learning machine for multi-classification.
Luo J; Vong CM; Wong PK
IEEE Trans Neural Netw Learn Syst; 2014 Apr; 25(4):836-43. PubMed ID: 24807961
[TBL] [Abstract][Full Text] [Related]
19. Hierarchical multi-class SVM with ELM kernel for epileptic EEG signal classification.
Murugavel AS; Ramakrishnan S
Med Biol Eng Comput; 2016 Jan; 54(1):149-61. PubMed ID: 26296799
[TBL] [Abstract][Full Text] [Related]
20. Extreme learning machine for regression and multiclass classification.
Huang GB; Zhou H; Ding X; Zhang R
IEEE Trans Syst Man Cybern B Cybern; 2012 Apr; 42(2):513-29. PubMed ID: 21984515
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]