Search Results - "Huang, Joshua"

Enhanced Balanced Min Cut by Chen, Xiaojun, Hong, Weijun, Nie, Feiping, Huang, Joshua Zhexue, Shen, Li

“…Spectral clustering is a hot topic and many spectral clustering algorithms have been proposed. These algorithms usually solve the discrete cluster indicator…”
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Offloading dependent tasks in MEC-enabled IoT systems: A preference-based hybrid optimization method by Sadatdiynov, Kuanishbay, Cui, Laizhong, Huang, Joshua Zhexue

“…The rapid development of IoT-based services has resulted in an exponential increase in the number of connected smart mobile devices (SMDs). Processing the…”
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An effective content-based event recommendation model by Trinh, Thanh, Wu, Dingming, Wang, Ruili, Huang, Joshua Zhexue

“…Event-based social networks (EBSNs) facilitate people to interact with each other by sharing similar interests in online groups or taking part in offline…”
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Genome-wide association data classification and SNPs selection using two-stage quality-based Random Forests by Nguyen, Thanh-Tung, Huang, Joshua, Wu, Qingyao, Nguyen, Thuy, Li, Mark

“…Single-nucleotide polymorphisms (SNPs) selection and identification are the most important tasks in Genome-wide association data analysis. The problem is…”
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Data quality model for assessing public COVID-19 big datasets by Ngueilbaye, Alladoumbaye, Huang, Joshua Zhexue, Khan, Mehak, Wang, Hongzhi

“…For decision-making support and evidence based on healthcare, high quality data are crucial, particularly if the emphasized knowledge is lacking. For public…”
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TWCC: Automated Two-way Subspace Weighting Partitional Co-Clustering by Chen, Xiaojun, Yang, Min, Zhexue Huang, Joshua, Ming, Zhong

“…•A co-clustering method TWCC was proposed, in which two types of weights are automatically computed.•It’s the first two-way subspace weighting partitional…”
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A feature group weighting method for subspace clustering of high-dimensional data by Chen, Xiaojun, Ye, Yunming, Xu, Xiaofei, Huang, Joshua Zhexue

“…This paper proposes a new method to weight subspaces in feature groups and individual features for clustering high-dimensional data. In this method, the…”
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Stratified sampling for feature subspace selection in random forests for high dimensional data by Ye, Yunming, Wu, Qingyao, Zhexue Huang, Joshua, Ng, Michael K., Li, Xutao

“…For high dimensional data a large portion of features are often not informative of the class of the objects. Random forest algorithms tend to use a simple…”
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Subspace Weighting Co-Clustering of Gene Expression Data by Chen, Xiaojun, Huang, Joshua Z., Wu, Qingyao, Yang, Min

“…Microarray technology enables the collection of vast amounts of gene expression data from biological experiments. Clustering algorithms have been successfully…”
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Recommending high-utility search engine queries via a query-recommending model by Wang, JianGuo, Zhexue Huang, Joshua, Guo, Jiafeng, Lan, Yanyan

“…Query recommendation technology is of great importance for search engines, because it can assist users to find the information they require. Many query…”
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Comparison of 3D heads-up display system with conventional surgical microscopy for minimally invasive glaucoma surgery on an artificial eye model by Huang, Jordan J., Waldner, Derek, Huang, Jaxon J., Huang, Joshua M., Huang, Paul, Teichman, Joshua C., Darvish-Zargar, Mahshad, Gooi, Patrick

“…To survey ophthalmic surgeons’ opinions comparing a novel three-dimensional (3D) heads-up display system with a conventional surgical microscopy for minimally…”
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A Hierarchical Gamma Mixture Model-Based Method for Classification of High-Dimensional Data by Azhar, Muhammad, Li, Mark Junjie, Zhexue Huang, Joshua

“…Data classification is an important research topic in the field of data mining. With the rapid development in social media sites and IoT devices, data have…”
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Margin-based ensemble classifier for protein fold recognition by Yang, Tao, Kecman, Vojislav, Cao, Longbing, Zhang, Chengqi, Zhexue Huang, Joshua

“…► Recognition of protein folding patterns is an important step in protein structure and function predictions. ► A novel ensemble classifier, called MarFold, is…”
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On the Impact of Dissimilarity Measure in k-Modes Clustering Algorithm by Ng, M.K., Li, M.J., Huang, J.Z., Zengyou He

“…This correspondence describes extensions to the k-modes algorithm for clustering categorical data. By modifying a simple matching dissimilarity measure for…”
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Stratified feature sampling method for ensemble clustering of high dimensional data by Jing, Liping, Tian, Kuang, Huang, Joshua Z.

“…High dimensional data with thousands of features present a big challenge to current clustering algorithms. Sparsity, noise and correlation of features are…”
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A survey of data partitioning and sampling methods to support big data analysis by Mahmud, Mohammad Sultan, Huang, Joshua Zhexue, Salloum, Salman, Emara, Tamer Z., Sadatdiynov, Kuanishbay

“…Computer clusters with the shared-nothing architecture are the major computing platforms for big data processing and analysis. In cluster computing, data…”
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Two-level quantile regression forests for bias correction in range prediction by Nguyen, Thanh-Tung, Huang, Joshua Z., Nguyen, Thuy Thi

“…Quantile regression forests (QRF), a tree-based ensemble method for estimation of conditional quantiles, has been proven to perform well in terms of prediction…”
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Geographically distributed data management to support large-scale data analysis by Emara, Tamer Z., Trinh, Thanh, Huang, Joshua Zhexue

“…Nowadays, several companies prefer storing their data on multiple data centers with replication for many reasons. The data that spans various data centers…”
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Knowledge-based vector space model for text clustering by Jing, Liping, Ng, Michael K., Huang, Joshua Z.

“…This paper presents a new knowledge-based vector space model (VSM) for text clustering. In the new model, semantic relationships between terms (e.g., words or…”
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An efficient random forests algorithm for high dimensional data classification by Wang, Qiang, Nguyen, Thanh-Tung, Huang, Joshua Z., Nguyen, Thuy Thi

“…In this paper, we propose a new random forest (RF) algorithm to deal with high dimensional data for classification using subspace feature sampling method and…”
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