181 related articles for article (PubMed ID: 26738068)
1. Dynamic partial reconfiguration implementation of the SVM/KNN multi-classifier on FPGA for bioinformatics application.
Hussain HM; Benkrid K; Seker H
Annu Int Conf IEEE Eng Med Biol Soc; 2015; 2015():7667-70. PubMed ID: 26738068
[TBL] [Abstract][Full Text] [Related]
2. Reconfiguration-based implementation of SVM classifier on FPGA for Classifying Microarray data.
Hussain HM; Benkrid K; Seker H
Annu Int Conf IEEE Eng Med Biol Soc; 2013; 2013():3058-61. PubMed ID: 24110373
[TBL] [Abstract][Full Text] [Related]
3. Distributed large-scale graph processing on FPGAs.
Sahebi A; Barbone M; Procaccini M; Luk W; Gaydadjiev G; Giorgi R
J Big Data; 2023; 10(1):95. PubMed ID: 37283690
[TBL] [Abstract][Full Text] [Related]
4. Novel cascade FPGA accelerator for support vector machines classification.
Papadonikolakis M; Bouganis CS
IEEE Trans Neural Netw Learn Syst; 2012 Jul; 23(7):1040-52. PubMed ID: 24807131
[TBL] [Abstract][Full Text] [Related]
5. Design of Electronic Nose Detection System for Apple Quality Grading Based on Computational Fluid Dynamics Simulation and K-Nearest Neighbor Support Vector Machine.
Zou X; Wang C; Luo M; Ren Q; Liu Y; Zhang S; Bai Y; Meng J; Zhang W; Su SW
Sensors (Basel); 2022 Apr; 22(8):. PubMed ID: 35458982
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. IDM-PhyChm-Ens: intelligent decision-making ensemble methodology for classification of human breast cancer using physicochemical properties of amino acids.
Ali S; Majid A; Khan A
Amino Acids; 2014 Apr; 46(4):977-93. PubMed ID: 24390396
[TBL] [Abstract][Full Text] [Related]
8. Ensemble Clustering Classification compete SVM and One-Class classifiers applied on plant microRNAs Data.
Yousef M; Khalifa W; AbedAllah L
J Integr Bioinform; 2016 Dec; 13(5):304. PubMed ID: 28187418
[TBL] [Abstract][Full Text] [Related]
9. Embedded Hardware-Efficient Real-Time Classification With Cascade Support Vector Machines.
Kyrkou C; Bouganis CS; Theocharides T; Polycarpou MM
IEEE Trans Neural Netw Learn Syst; 2016 Jan; 27(1):99-112. PubMed ID: 26011869
[TBL] [Abstract][Full Text] [Related]
10. Designing a robust feature extraction method based on optimum allocation and principal component analysis for epileptic EEG signal classification.
Siuly S; Li Y
Comput Methods Programs Biomed; 2015 Apr; 119(1):29-42. PubMed ID: 25704869
[TBL] [Abstract][Full Text] [Related]
11. Improving classification of mature microRNA by solving class imbalance problem.
Wang Y; Li X; Tao B
Sci Rep; 2016 May; 6():25941. PubMed ID: 27181057
[TBL] [Abstract][Full Text] [Related]
12. Fissures segmentation using surface features: content-based retrieval for mammographic mass using ensemble classifier.
Liu H; Lan Y; Xu X; Song E; Hung CC
Acad Radiol; 2011 Dec; 18(12):1475-84. PubMed ID: 22055794
[TBL] [Abstract][Full Text] [Related]
13. SNAVA-A real-time multi-FPGA multi-model spiking neural network simulation architecture.
Sripad A; Sanchez G; Zapata M; Pirrone V; Dorta T; Cambria S; Marti A; Krishnamourthy K; Madrenas J
Neural Netw; 2018 Jan; 97():28-45. PubMed ID: 29054036
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Multi-view L2-SVM and its multi-view core vector machine.
Huang C; Chung FL; Wang S
Neural Netw; 2016 Mar; 75():110-25. PubMed ID: 26773824
[TBL] [Abstract][Full Text] [Related]
16. NMF-mGPU: non-negative matrix factorization on multi-GPU systems.
Mejía-Roa E; Tabas-Madrid D; Setoain J; García C; Tirado F; Pascual-Montano A
BMC Bioinformatics; 2015 Feb; 16():43. PubMed ID: 25887585
[TBL] [Abstract][Full Text] [Related]
17. Classification of THz pulse signals using two-dimensional cross-correlation feature extraction and non-linear classifiers.
Siuly ; Yin X; Hadjiloucas S; Zhang Y
Comput Methods Programs Biomed; 2016 Apr; 127():64-82. PubMed ID: 27000290
[TBL] [Abstract][Full Text] [Related]
18. Detection of Skin Cancer Using SVM, Random Forest and kNN Classifiers.
Murugan A; Nair SAH; Kumar KPS
J Med Syst; 2019 Jul; 43(8):269. PubMed ID: 31273532
[TBL] [Abstract][Full Text] [Related]
19. Reviewing ensemble classification methods in breast cancer.
Hosni M; Abnane I; Idri A; Carrillo de Gea JM; Fernández Alemán JL
Comput Methods Programs Biomed; 2019 Aug; 177():89-112. PubMed ID: 31319964
[TBL] [Abstract][Full Text] [Related]
20. Machine learning algorithms for FPGA Implementation in biomedical engineering applications: A review.
Altman MB; Wan W; Hosseini AS; Arabi Nowdeh S; Alizadeh M
Heliyon; 2024 Feb; 10(4):e26652. PubMed ID: 38434008
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]