Typicality for Information Retrieval with Application on Sample Size Reduction of High Dimensional Data

Authors: Abdalla, Nada, Javed, Muhammad Umar, Forthomme, Damien

Source: 2024 International Conference on Machine Learning and Applications (ICMLA) ICMLA Machine Learning and Applications (ICMLA), 2024 International Conference on. :804-809 Dec, 2024

Relation: 2024 International Conference on Machine Learning and Applications (ICMLA)

Proposing a Low-Rank Approximation Method with Mathematical Guarantees for High-Dimensional Tensor Data

Authors: Hasegawa, Hiroki, Yata, Kazuyoshi, Okada, Yukihiko, Kunimatsu, Jun

Source: 2024 IEEE International Conference on Big Data (BigData) Big Data (BigData), 2024 IEEE International Conference on. :34-43 Dec, 2024

Relation: 2024 IEEE International Conference on Big Data (BigData)

Identification of Important SNPs using Bayesian Deep Learning on Whole-Genome Arabidopsis thaliana Data

Authors: Kohli, Nikita, Tomal, Jabed, Yan, Yan

Source: 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Bioinformatics and Biomedicine (BIBM), 2023 IEEE International Conference on. :328-332 Dec, 2023

Relation: 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

A Bayesian Gaussian Process-Based Latent Discriminative Generative Decoder (LDGD) Model for High-Dimensional Data

Authors: Ziaei, N., Nazari, B., Eden, U.T., Widge, A.S., Yousefi, A.

Source: IEEE Access Access, IEEE. 12:113314-113335 2024

Performance of Minkowski-type Distances in Similarity Search - A Geometrical Approach

Authors: Singh, Arpan, Jayaram, Balasubramaniam

Source: 2020 IEEE 5th International Conference on Computing Communication and Automation (ICCCA) Computing Communication and Automation (ICCCA), 2020 IEEE 5th International Conference on. :467-472 Oct, 2020

Relation: 2020 IEEE 5th International Conference on Computing Communication and Automation (ICCCA)

On the Unsurprising Behaviour of Kernels in High Dimensions

Authors: Kaur, Avneet, Raj, Harsh, Jayaram, Balasubramaniam

Source: 2020 IEEE 5th International Conference on Computing Communication and Automation (ICCCA) Computing Communication and Automation (ICCCA), 2020 IEEE 5th International Conference on. :503-508 Oct, 2020

Relation: 2020 IEEE 5th International Conference on Computing Communication and Automation (ICCCA)

Fast and Positive Definite Estimation of Large Covariance Matrix for High-Dimensional Data Analysis

Authors: Wen, F., Chu, L., Ying, R., Liu, P.

Source: IEEE Transactions on Big Data IEEE Trans. Big Data Big Data, IEEE Transactions on. 7(3):603-609 Jul, 2021

XgCPred: Cell type classification using XGBoost-CNN integration and exploiting gene expression imaging in single-cell RNAseq data

Authors: Abu-Doleh, Anas ^⁎, Al Fahoum, Amjed

Source: In Computers in Biology and Medicine October 2024 181

Editorial: Application of novel statistical and machine-learning methods to high-dimensional clinical cancer and (multi-) omics data volume II

Authors: Chao Xu, Shaolong Cao, Md Ashad Alam

Source: Frontiers in Genetics, Vol 15 (2024)

Subject Terms: multi-omics analysis, high-dimensional data analysis, cancer genomics, prediction analysis, integrative analysis, medical imaging analysis, Genetics, QH426-470

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fgene.2024.1487893/full; https://doaj.org/toc/1664-8021

Access URL: https://doaj.org/article/2d14b0aebb9f477ab7e2084fdba6c365

Neural network big data fusion in remote sensing image processing technology

Authors: Wu Xiaobo

Source: Journal of Intelligent Systems, Vol 33, Iss 1, Pp 4420-34 (2024)

Subject Terms: remote sensing image, image processing, neural networks, big data, high dimensional data analysis, Science, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: https://doaj.org/toc/2191-026X

Access URL: https://doaj.org/article/4ea9ab42ec4d40699e7b0291c2e90dec

Active surveillance pharmacovigilance for Clostridioides difficile infection and gastrointestinal bleeding: an analytic framework based on case-control studies

Authors: Vajravelu, Ravy K. ^{a, b, ∗}, Byerly, Amy R. ^a, Feldman, Robert ^c, Rothenberger, Scott D. ^c, Schoen, Robert E. ^a, Gellad, Walid F. ^{b, c}, Lewis, James D. ^d

Source: In eBioMedicine May 2024 103

Learning From High-Dimensional Biomedical Datasets: The Issue of Class Imbalance

Authors: Pes, B.

Source: IEEE Access Access, IEEE. 8:13527-13540 2020

Cluster-Specific Latent Factor Estimation in High-Dimensional Financial Time Series

Authors: Begusic, S., Kostanjcar, Z.

Source: IEEE Access Access, IEEE. 8:164365-164379 2020

Minimax lower bounds for ridge combinations including neural nets

Authors: Klusowski, Jason M., Barron, Andrew R.

Source: 2017 IEEE International Symposium on Information Theory (ISIT) Information Theory (ISIT), 2017 IEEE International Symposium on. :1376-1380 Jun, 2017

Relation: 2017 IEEE International Symposium on Information Theory (ISIT)

Sequential Minimax Search for Multi-Layer Gene Grouping

Authors: Wang, W., Zhou, X., Chen, F., Cao, B.

Source: IEEE Access Access, IEEE. 7:102931-102940 2019

Hyperspectral image classification using distance metric based 1-dimensional manifold embedding

Authors: Luo, Hui-Wu, Wang, Yu-Long, Tang, Yuan Yan, Li, Chun-Li, Wang, Jian-Zhong

Source: 2016 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR) Wavelet Analysis and Pattern Recognition (ICWAPR), 2016 International Conference on. :247-251 Jul, 2016

Relation: 2016 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR)

Simplifying Data Analysis in Biomedical Research: An Automated, User-Friendly Tool

Authors: Rúben Araújo, Luís Ramalhete, Ana Viegas, Cristiana P. Von Rekowski, Tiago A. H. Fonseca, Cecília R. C. Calado, Luís Bento

Source: Methods and Protocols, Vol 7, Iss 3, p 36 (2024)

Subject Terms: biomedical research, machine learning, LLM models, high dimensional data analysis, Biology (General), QH301-705.5

File Description: electronic resource

Relation: https://www.mdpi.com/2409-9279/7/3/36; https://doaj.org/toc/2409-9279

Access URL: https://doaj.org/article/878d0ce9923e451a94c89621e3c1f3df

DiviK: divisive intelligent K-means for hands-free unsupervised clustering in big biological data

Authors: Grzegorz Mrukwa, Joanna Polanska

Source: BMC Bioinformatics, Vol 23, Iss 1, Pp 1-24 (2022)

Subject Terms: Machine learning, Unsupervised clustering, Feature engineering, Local feature space adaptation, High-dimensional data analysis, Omics, Computer applications to medicine. Medical informatics, R858-859.7, Biology (General), QH301-705.5

File Description: electronic resource

Relation: https://doaj.org/toc/1471-2105

Access URL: https://doaj.org/article/643b030c19624d7582effd8465c44530

Integrative sparse Bayesian analysis of high-dimensional multi-platform genomic data in glioblastoma

Authors: Bhadra, Anindya, Baladandayuthapani, Veerabhadran

Source: 2013 IEEE International Workshop on Genomic Signal Processing and Statistics Genomic Signal Processing and Statistics (GENSIPS), 2013 IEEE International Workshop on. :1-4 Nov, 2013

Relation: 2013 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS)

Integrating multi-platform genomic data using hierarchical Bayesian relevance vector machines

Authors: Srivastava, Sanvesh, Wang, Wenyi, Zinn, Pascal O., Colen, Rivka R., Baladandayuthapani, Veerabhadran

Source: Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS) Genomic Signal Processing and Statistics, (GENSIPS), 2012 IEEE International Workshop on. :18-21 Dec, 2012

Relation: 2012 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS)