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Select item 104071421.

Neural networks based linear (PCA) and nonlinear (ISOMAP) feature extraction for soil swelling pressure prediction (North East Algeria)

Bahloul Ouassila, Tebbi Fatima Zohra, Lekouara Laid, Bekhouche Hizia

Heliyon. 2023 Aug; 9(8): e18673. Published online 2023 Jul 26. doi: 10.1016/j.heliyon.2023.e18673

PMCID:: PMC10407142

Abstract Article PDF–13M

Select item 96323532.

Application of KNN-based isometric mapping and fuzzy c-means algorithm to predict short-term rockburst risk in deep underground projects

Muhammad Kamran, Barkat Ullah, Mahmood Ahmad, Mohanad Muayad Sabri Sabri

Front Public Health. 2022; 10: 1023890. Published online 2022 Oct 20. doi: 10.3389/fpubh.2022.1023890

PMCID:: PMC9632353

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Automatic Active Lesion Tracking in Multiple Sclerosis Using Unsupervised Machine Learning

Jason Uwaeze, Ponnada A. Narayana, Arash Kamali, Vladimir Braverman, Michael A. Jacobs, Alireza Akhbardeh

Diagnostics (Basel) 2024 Mar; 14(6): 632. Published online 2024 Mar 16. doi: 10.3390/diagnostics14060632

PMCID:: PMC10969435

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Multi-view data visualisation via manifold learning

Theodoulos Rodosthenous, Vahid Shahrezaei, Marina Evangelou

PeerJ Comput Sci. 2024; 10: e1993. Published online 2024 May 24. doi: 10.7717/peerj-cs.1993

PMCID:: PMC11157621

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ISOMAP and machine learning algorithms for the construction of embedded functional connectivity networks of anatomically separated brain regions from resting state fMRI data of patients with Schizophrenia

Ioannis K Gallos, Kostakis Gkiatis, George K Matsopoulos, Constantinos Siettos

AIMS Neurosci. 2021; 8(2): 295–321. Published online 2021 Feb 19. doi: 10.3934/Neuroscience.2021016

PMCID:: PMC7940114

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Genetic algorithm-based feature selection with manifold learning for cancer classification using microarray data

Zixuan Wang, Yi Zhou, Tatsuya Takagi, Jiangning Song, Yu-Shi Tian, Tetsuo Shibuya

BMC Bioinformatics. 2023; 24: 139. Published online 2023 Apr 8. doi: 10.1186/s12859-023-05267-3

PMCID:: PMC10082986

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Prediction model and demonstration of regional agricultural carbon emissions based on Isomap–ACO–ET: a case study of Guangdong Province, China

Yanwei Qi, Huailiang Liu, Jianbo Zhao

Sci Rep. 2023; 13: 12688. Published online 2023 Aug 4. doi: 10.1038/s41598-023-39996-5

PMCID:: PMC10403573

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Prediction of hot spots in protein–DNA binding interfaces based on supervised isometric feature mapping and extreme gradient boosting

Ke Li, Sijia Zhang, Di Yan, Yannan Bin, Junfeng Xia

BMC Bioinformatics. 2020; 21(Suppl 13): 381. Published online 2020 Sep 17. doi: 10.1186/s12859-020-03683-3

PMCID:: PMC7495874

Abstract Article PDF–872K

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Dual-Force ISOMAP: A New Relevance Feedback Method for Medical Image Retrieval

Hualei Shen, Dacheng Tao, Dianfu Ma

PLoS One. 2013; 8(12): e84096. Published online 2013 Dec 31. doi: 10.1371/journal.pone.0084096

PMCID:: PMC3877227

Abstract Article PDF–3.3M

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Nondestructive Inspection of Reinforced Concrete Utility Poles with ISOMAP and Random Forest

Saeed Ullah, Minjoong Jeong, Woosang Lee

Sensors (Basel) 2018 Oct; 18(10): 3463. Published online 2018 Oct 15. doi: 10.3390/s18103463

PMCID:: PMC6210453

Abstract Article PDF–2.7M

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Supervised Manifold Learning Based on Multi-Feature Information Discriminative Fusion within an Adaptive Nearest Neighbor Strategy Applied to Rolling Bearing Fault Diagnosis

Hongwei Wang, Linhu Yao, Haoran Wang, Yu Liu, Zhiyuan Li, Di Wang, Ren Hu, Lei Tao

Sensors (Basel) 2023 Dec; 23(24): 9820. Published online 2023 Dec 14. doi: 10.3390/s23249820

PMCID:: PMC10747974

Abstract Article PDF–6.5M

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A Study on Dimensionality Reduction and Parameters for Hyperspectral Imagery Based on Manifold Learning

Wenhui Song, Xin Zhang, Guozhu Yang, Yijin Chen, Lianchao Wang, Hanghang Xu

Sensors (Basel) 2024 Apr; 24(7): 2089. Published online 2024 Mar 25. doi: 10.3390/s24072089

PMCID:: PMC11014055

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LISA2: Learning Complex Single-Cell Trajectory and Expression Trends

Yang Chen, Yuping Zhang, James Y. H. Li, Zhengqing Ouyang

Front Genet. 2021; 12: 681206. Published online 2021 Aug 23. doi: 10.3389/fgene.2021.681206

PMCID:: PMC8428276

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Role of proliferation COVID-19 media chatter in predicting Indian stock market: Integrated framework of nonlinear feature transformation and advanced AI

Indranil Ghosh, Esteban Alfaro-Cortés, Matías Gámez, Noelia García-Rubio

Expert Syst Appl. 2023 Jun 1; 219: 119695. Published online 2023 Feb 11. doi: 10.1016/j.eswa.2023.119695

PMCID:: PMC9920769

Abstract Article PDF–7.2M

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Combination of the Manifold Dimensionality Reduction Methods with Least Squares Support vector machines for Classifying the Species of Sorghum Seeds

Y. M. Chen, P. Lin, J. Q. He, Y. He, X.L. Li

Sci Rep. 2016; 6: 19917. Published online 2016 Jan 28. doi: 10.1038/srep19917

PMCID:: PMC4730150

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Select item 964078516.

Systematic investigation of keywords selection and processing strategy on search engine forecasting: a case of tourist volume in Beijing

Ziqi Yuan, Guozhu Jia

Inf Technol Tourism. 2022; 24(4): 547–580. Published online 2022 Nov 7. doi: 10.1007/s40558-022-00238-5

PMCID:: PMC9640785

Abstract Article PDF–1.8M

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Laser-Induced Breakdown Spectroscopy Combined with Nonlinear Manifold Learning for Improvement Aluminum Alloy Classification Accuracy

Edward Harefa, Weidong Zhou

Sensors (Basel) 2022 May; 22(9): 3129. Published online 2022 Apr 20. doi: 10.3390/s22093129

PMCID:: PMC9102175

Abstract Article PDF–2.2M

Select item 15624518.

Hessian eigenmaps: Locally linear embedding techniques for high-dimensional data

David L. Donoho, Carrie Grimes

Proc Natl Acad Sci U S A. 2003 May 13; 100(10): 5591–5596. Published online 2003 Apr 30. doi: 10.1073/pnas.1031596100

PMCID:: PMC156245

Abstract Article PDF–226K

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Comparative analysis of nonlinear dimensionality reduction techniques for breast MRI segmentation

Alireza Akhbardeh, Michael A. Jacobs

Med Phys. 2012 Apr; 39(4): 2275–2289. Published online 2012 Apr 3. doi: 10.1118/1.3682173

PMCID:: PMC3337666

Abstract Article PDF–9.6M

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Unraveling Flow Patterns through Nonlinear Manifold Learning

Flavia Tauro, Salvatore Grimaldi, Maurizio Porfiri

PLoS One. 2014; 9(3): e91131. Published online 2014 Mar 10. doi: 10.1371/journal.pone.0091131

PMCID:: PMC3948738

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PMC Images search for Isometric Mapping/Isomap

Figure 20

The fused feature of RMS² and SampEn based on (a) principal component analysis (PCA) and (b) Isometric Feature Mapping (Isomap).

A Novel Health Indicator Based on Cointegration for Rolling Bearings’ Run-To-Failure Process

Sensors (Basel). 2019 May;19(9):2151.
Figure 11

(a) Typical multiparametric MRI data and (b) resulting embedded images and scattergrams for a malignant breast case from three NLDR algorithms Diffusion Maps (DfM), Isometric feature mapping (ISOMAP), Locally Linear Embedding (LLE). The lower scattergram shown is derived from Isomap. Clear demarcation of the lesion and surrounding breast are shown.

Comparative analysis of nonlinear dimensionality reduction techniques for breast MRI segmentation

Med Phys. 2012 Apr;39(4):2275-2289.
Fig 3Visualisation of the Davies–Bouldin Metric (DBM) results for vanilla classifiers using a topology preserving two-dimensional projection with Isometric Mapping (Isomap).

Each row represents a classifier trained with a label excluded whose projection is visualised. While each column represents a different classifier architecture evaluated. A denser clustering represents a consistent view of the unknown class by the architecture.

Transferability of features for neural networks links to adversarial attacks and defences

PLoS One. 2022;17(4):e0266060.
Figure 12

(a) Typical axial multiparametric MRI data from a patient with no breast lesion. (b) resulting embedded images and scattergrams demonstrating the separation of fatty and glandular tissue in the embedded image, the scattergram shown is derived from Isometric feature mapping (ISOMAP).

Comparative analysis of nonlinear dimensionality reduction techniques for breast MRI segmentation

Med Phys. 2012 Apr;39(4):2275-2289.