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Publication search results
found 3,540 matches
- 2024
- Hui Liu, Xiang Liu, Jing Diao, Wenting Ye, Xueling Liu, Dehui Wei:
Sparse Variable Selection on High Dimensional Heterogeneous Data With Tree Structured Responses. IEEE Access 12: 50779-50791 (2024) - Ashis Kumar Mandal, Md. Nadim, Hasi Saha, Tangina Sultana, Md. Delowar Hossain, Eui-Nam Huh:
Feature Subset Selection for High-Dimensional, Low Sampling Size Data Classification Using Ensemble Feature Selection With a Wrapper-Based Search. IEEE Access 12: 62341-62357 (2024) - Julio Enrique Castrillón-Candás:
Spatial best linear unbiased prediction: a computational mathematics approach for high dimensional massive datasets. Adv. Comput. Math. 50(3): 37 (2024) - Maha Nssibi, Ghaith Manita, Amit Chhabra, Seyedali Mirjalili, Ouajdi Korbaa:
Gene selection for high dimensional biological datasets using hybrid island binary artificial bee colony with chaos game optimization. Artif. Intell. Rev. 57(3): 51 (2024) - Cong Wu, Hongxin Li, Jiajia Ren, K. Marimuthu, Priyan Malarvizhi Kumar:
Correction to: Artificial neural network based high dimensional data visualization technique for interactive data exploration in E-commerce. Ann. Oper. Res. 332(1): 1197-1198 (2024) - Marina Cuesta, Carmen Lancho, Alberto Fernández-Isabel, Emilio L. Cano, Isaac Martín de Diego:
CSViz: Class Separability Visualization for high-dimensional datasets. Appl. Intell. 54(1): 924-946 (2024) - Yasser Abroshan, Mohammad Hossein Moattar:
Discriminative feature selection using signed Laplacian restricted Boltzmann machine for speed and generalization improvement of high dimensional data classification. Appl. Soft Comput. 153: 111274 (2024) - Sedighe Rastaghi, Azadeh Saki, Hamed Tabesh:
Correction: Modifying the false discovery rate procedure based on the information theory under arbitrary correlation structure and its performance in high-dimensional genomic data. BMC Bioinform. 25(1): 83 (2024) - Sedighe Rastahi, Azadeh Saki, Hamed Tabesh:
Modifying the false discovery rate procedure based on the information theory under arbitrary correlation structure and its performance in high-dimensional genomic data. BMC Bioinform. 25(1): 57 (2024) - Junjie Shen, Shuo Wang, Yongfei Dong, Hao Sun, Xichao Wang, Zaixiang Tang:
A non-negative spike-and-slab lasso generalized linear stacking prediction modeling method for high-dimensional omics data. BMC Bioinform. 25(1): 119 (2024) - Yueyue Huang, Minmin Wu, Ding Li, Zhiqiang Chen, Xueshu Yu, Yifan Gao, Xiaojuan Lai, Lianmin Ye, Shichao Quan, Yingru Lu, Ali Asghar Heidari, Huiling Chen, Jingye Pan:
Advancing gene feature selection: Comprehensive learning modified hunger games search for high-dimensional data. Biomed. Signal Process. Control. 87(Part A): 105423 (2024) - Zahra Jalilibal, Mohammad Hassan Ahmadi Karavigh, Mohammad Reza Maleki, Amirhossein Amiri:
Control charting methods for monitoring high dimensional data streams: A conceptual classification scheme. Comput. Ind. Eng. 191: 110141 (2024) - Joachim Schaeffer, Eric Lenz, William C. Chueh, Martin Z. Bazant, Rolf Findeisen, Richard D. Braatz:
Interpretation of high-dimensional linear regression: Effects of nullspace and regularization demonstrated on battery data. Comput. Chem. Eng. 180: 108471 (2024) - Aboubacry Gaye, Abdou Kâ Diongue, Seydou Nourou Sylla, Maryam Diarra, Amadou Diallo, Cheikh Talla, Cheikh Loucoubar:
Supervised Classification of High-Dimensional Correlated Data: Application to Genomic Data. J. Classif. 41(1): 158-169 (2024) - Guohua Shen, Mengnan Cai, Zhiqiu Huang, Yang Yang, Feifei Guo, Linlin Wei:
LoHDP: Adaptive local differential privacy for high-dimensional data publishing. Concurr. Comput. Pract. Exp. 36(11) (2024) - Weijuan Liang, Qingzhao Zhang, Shuangge Ma:
Hierarchical false discovery rate control for high-dimensional survival analysis with interactions. Comput. Stat. Data Anal. 192: 107906 (2024) - Lixing Liang, Yipeng Zhuang, Philip L. H. Yu:
Variable selection for high-dimensional incomplete data. Comput. Stat. Data Anal. 192: 107877 (2024) - Cheng Wang, Haozhe Chen, Binyan Jiang:
HiQR: An efficient algorithm for high-dimensional quadratic regression with penalties. Comput. Stat. Data Anal. 192: 107904 (2024) - Qiuyan Zhang, Chen Wang, Baoxue Zhang, Hu Yang:
An RIHT statistic for testing the equality of several high-dimensional mean vectors under homoskedasticity. Comput. Stat. Data Anal. 190: 107855 (2024) - Yan-Yong Zhao, Yuchun Zhang, Yuan Liu, Noriszura Ismail:
Distributed debiased estimation of high-dimensional partially linear models with jumps. Comput. Stat. Data Anal. 191: 107857 (2024) - Hasan Bulut:
A robust test statistic for independence in high dimensional data. Commun. Stat. Simul. Comput. 53(2): 702-713 (2024) - Cathy W. S. Chen, Rosaria Lombardo, Enrico Ripamonti:
High-dimensional data analysis and visualisation. Comput. Stat. 39(1): 1-2 (2024) - Wenxing Guo, Xueying Zhang, Bei Jiang, Linglong Kong, Yaozhong Hu:
Wavelet-based Bayesian approximate kernel method for high-dimensional data analysis. Comput. Stat. 39(4): 2323-2341 (2024) - Caizhu Huang, Xia Cui, Euloge Clovis Kenne Pagui:
Two-sample mean vector projection test in high-dimensional data. Comput. Stat. 39(3): 1061-1091 (2024) - Nayiri Galestian Pour, Soudabeh Shemehsavar:
Learning from high dimensional data based on weighted feature importance in decision tree ensembles. Comput. Stat. 39(1): 313-342 (2024) - Anne Hartebrodt, Richard Röttger, David B. Blumenthal:
Federated singular value decomposition for high-dimensional data. Data Min. Knowl. Discov. 38(3): 938-975 (2024) - Marco Heyden, Edouard Fouché, Vadim Arzamasov, Tanja Fenn, Florian Kalinke, Klemens Böhm:
Adaptive Bernstein change detector for high-dimensional data streams. Data Min. Knowl. Discov. 38(3): 1334-1363 (2024) - Leipeng Zhu, Zhiqing Zhang, Dongdong Song, Biao Chen:
Analysis of traffic accident causes based on data augmentation and ensemble learning with high-dimensional small-sample data. Expert Syst. Appl. 237(Part C): 121782 (2024) - Mohamed Rahmani, Ghoutia Naima Sabri, Abdelhamid Cherifi, Abdullah S. Karar, Hichem Mrabet:
Massive capacity of novel three-dimensional OCDMA-FSO system for next generation of high-data wireless networks. Trans. Emerg. Telecommun. Technol. 35(1) (2024) - Ahmed Bir-Jmel, Sidi Mohamed Douiri, Souad El Bernoussi:
Minimum redundancy maximum relevance and VNS based gene selection for cancer classification in high-dimensional data. Int. J. Comput. Sci. Eng. 27(1): 78-89 (2024)
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