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For: Fernandez-lozano C, Seoane JA, Gestal M, Gaunt TR, Dorado J, Campbell C. Texture classification using feature selection and kernel-based techniques. Soft Comput 2015;19:2469-80. [DOI: 10.1007/s00500-014-1573-5] [Cited by in Crossref: 26] [Cited by in F6Publishing: 13] [Article Influence: 3.3] [Reference Citation Analysis]
Number Citing Articles
1 Mohan G, M MS. Intelligent framework for brain tumor grading using advanced feature analysis. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization 2022. [DOI: 10.1080/21681163.2022.2083017] [Reference Citation Analysis]
2 Amin J, Sharif M, Haldorai A, Yasmin M, Nayak RS. Brain tumor detection and classification using machine learning: a comprehensive survey. Complex Intell Syst . [DOI: 10.1007/s40747-021-00563-y] [Cited by in Crossref: 15] [Cited by in F6Publishing: 9] [Article Influence: 7.5] [Reference Citation Analysis]
3 Das A, Chatterjee S. A Novel Algorithm to Detect Brain Tumor using Staged-Type-II Fuzzy Classifier. 2020 IEEE Symposium Series on Computational Intelligence (SSCI) 2020. [DOI: 10.1109/ssci47803.2020.9308426] [Reference Citation Analysis]
4 More S, Singla J. Machine Learning Methods for Knee Feature Extraction from MR Images. 2020 International Conference on Smart Electronics and Communication (ICOSEC) 2020. [DOI: 10.1109/icosec49089.2020.9215328] [Reference Citation Analysis]
5 Dong H, Sun J, Li T, Ding R, Sun X. A multi-objective algorithm for multi-label filter feature selection problem. Appl Intell 2020;50:3748-74. [DOI: 10.1007/s10489-020-01785-2] [Cited by in Crossref: 7] [Cited by in F6Publishing: 6] [Article Influence: 2.3] [Reference Citation Analysis]
6 Khaire UM, Dhanalakshmi R. High-dimensional microarray dataset classification using an improved adam optimizer (iAdam). J Ambient Intell Human Comput 2020;11:5187-204. [DOI: 10.1007/s12652-020-01832-3] [Cited by in Crossref: 17] [Cited by in F6Publishing: 9] [Article Influence: 5.7] [Reference Citation Analysis]
7 Nawn D, Chatterjee S, Anura A, Bag S, Chakraborty D, Pal M, Paul RR, Chatterjee J. Elucidation of Differential Nano-Textural Attributes for Normal Oral Mucosa and Pre-Cancer. Microsc Microanal 2019;25:1224-33. [DOI: 10.1017/s1431927619014867] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
8 Khaire UM, Dhanalakshmi R. Stability of feature selection algorithm: A review. Journal of King Saud University - Computer and Information Sciences 2019. [DOI: 10.1016/j.jksuci.2019.06.012] [Cited by in Crossref: 82] [Cited by in F6Publishing: 46] [Article Influence: 20.5] [Reference Citation Analysis]
9 Carballal A, Fernandez-lozano C, Rodriguez-fernandez N, Castro L, Santos A. Avoiding the Inherent Limitations in Datasets Used for Measuring Aesthetics When Using a Machine Learning Approach. Complexity 2019;2019:1-12. [DOI: 10.1155/2019/4659809] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 1.5] [Reference Citation Analysis]
10 Shaukat A, Farhan S, Fahiem MA, Tauseef H, Tahir F, Usman G. Textural and Geometrical Features Based Approach for Identification of Individuals Using Palmprint and Hand Shape Images from Multiple Multimodal Datasets. J Test Eval 2018;46:20160625. [DOI: 10.1520/jte20160625] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.2] [Reference Citation Analysis]
11 Fernandez-lozano C, Valente RA, Díaz MF, Pazos A. A generalized linear model for cardiovascular complications prediction in PD patients. Proceedings of the First International Conference on Data Science, E-learning and Information Systems 2018. [DOI: 10.1145/3279996.3280039] [Cited by in Crossref: 1] [Article Influence: 0.2] [Reference Citation Analysis]
12 Mohan G, Subashini MM. MRI based medical image analysis: Survey on brain tumor grade classification. Biomedical Signal Processing and Control 2018;39:139-61. [DOI: 10.1016/j.bspc.2017.07.007] [Cited by in Crossref: 194] [Cited by in F6Publishing: 196] [Article Influence: 38.8] [Reference Citation Analysis]
13 Rafi M, Mukhopadhyay S. Segmentation of Synthetic Textures Employing Gabor Filter Magnitude in a Multi-Channeling Environment. 2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) 2017. [DOI: 10.1109/sitis.2017.53] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.3] [Reference Citation Analysis]
14 Quraishi I, Hasnat A, Choudhury JP. Selection of optimal pixel resolution for landslide susceptibility analysis within the Bukit Antarabangsa, Kuala Lumpur, by using image processing and multivariate statistical tools. J Image Video Proc 2017;2017:21. [DOI: 10.1186/s13640-017-0169-2] [Reference Citation Analysis]
15 Tripathy A, Anand A, Rath SK. Document-level sentiment classification using hybrid machine learning approach. Knowl Inf Syst 2017;53:805-31. [DOI: 10.1007/s10115-017-1055-z] [Cited by in Crossref: 54] [Cited by in F6Publishing: 29] [Article Influence: 9.0] [Reference Citation Analysis]
16 Chen X, Yu M, Yue F, Li B. A Scheme of Template Selection and Updating for Palmprint Authentication Systems. Biometric Recognition 2017. [DOI: 10.1007/978-3-319-69923-3_27] [Cited by in Crossref: 1] [Article Influence: 0.2] [Reference Citation Analysis]
17 Chen W, Hao Z, Cai R, Zhang X, Hu Y, Liu M. Multiple-cause discovery combined with structure learning for high-dimensional discrete data and application to stock prediction. Soft Comput 2016;20:4575-88. [DOI: 10.1007/s00500-015-1764-8] [Cited by in Crossref: 6] [Cited by in F6Publishing: 1] [Article Influence: 0.9] [Reference Citation Analysis]
18 de Jesús Rubio J. A method with neural networks for the classification of fruits and vegetables. Soft Comput 2017;21:7207-20. [DOI: 10.1007/s00500-016-2263-2] [Cited by in Crossref: 12] [Cited by in F6Publishing: 12] [Article Influence: 1.7] [Reference Citation Analysis]
19 Ogiela MR, Krzyworzeka N. Heuristic approach for computer-aided lesion detection in mammograms. Soft Comput 2016;20:4193-202. [DOI: 10.1007/s00500-016-2186-y] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 0.6] [Reference Citation Analysis]
20 Heras J, Domínguez C, Mata E, Pascual V. Surveying and benchmarking techniques to analyse DNA gel fingerprint images. Brief Bioinform 2016;17:912-25. [PMID: 26634918 DOI: 10.1093/bib/bbv102] [Reference Citation Analysis]
21 Fernandez-lozano C, Cuiñas RF, Seoane JA, Fernández-blanco E, Dorado J, Munteanu CR. Classification of signaling proteins based on molecular star graph descriptors using Machine Learning models. Journal of Theoretical Biology 2015;384:50-8. [DOI: 10.1016/j.jtbi.2015.07.038] [Cited by in Crossref: 20] [Cited by in F6Publishing: 18] [Article Influence: 2.5] [Reference Citation Analysis]