Empirical analysis of asymptotic ensemble learning for big data. - Salman Salloum; Joshua Zhexue Huang; Yu-Lin He (BDCAT, 2016)

A frequency-based gene selection method with random forests for gene data analysis. - Thanh Trinh; Dingming Wu 001; Salman Salloum; Tung Nguyen; Joshua Zhexue Huang (RIVF, 2016)

Big data analytics on Apache Spark. - Salman Salloum; Ruslan Dautov; Xiaojun Chen 006; Patrick Xiaogang Peng; Joshua Zhexue Huang (Int. J. Data Sci. Anal., 2016)

A Random Sample Partition Data Model for Big Data Analysis. - Salman Salloum; Yu-Lin He; Joshua Zhexue Huang; Xiaoliang Zhang; Tamer Z. Emara (CoRR, 2017)

Ensemble subspace clustering of text data using two-level features. - He Zhao 009; Salman Salloum; Yeshou Cai; Joshua Zhexue Huang (Int. J. Mach. Learn. Cybern., 2017)

A Two-Stage Data Processing Algorithm to Generate Random Sample Partitions for Big Data Analysis. - Chenghao Wei; Salman Salloum; Tamer Z. Emara; Xiaoliang Zhang; Joshua Zhexue Huang; Yu-Lin He (CLOUD, 2018)

A Sampling-Based System for Approximate Big Data Analysis on Computing Clusters. - Salman Salloum; Yinxu Wu; Joshua Zhexue Huang (CIKM, 2019)

An Asymptotic Ensemble Learning Framework for Big Data Analysis. - Salman Salloum; Joshua Zhexue Huang; Yulin He; Xiaojun Chen 006 (IEEE Access, 2019)

Exploring and cleaning big data with random sample data blocks. - Salman Salloum; Joshua Zhexue Huang; Yulin He (J. Big Data, 2019)

Random Sample Partition: A Distributed Data Model for Big Data Analysis. - Salman Salloum; Joshua Zhexue Huang; Yulin He (IEEE Trans. Ind. Informatics, 2019)

A survey of data partitioning and sampling methods to support big data analysis. - Mohammad Sultan Mahmud; Joshua Zhexue Huang; Salman Salloum; Tamer Z. Emara; Kuanishbay Sadatdiynov (Big Data Min. Anal., 2020)

RSP-Hist: Approximate Histograms for Big Data Exploration on Hadoop Clusters. - Salman Salloum; Joshua Zhexue Huang (HiPC, 2021)

A review of optimization methods for computation offloading in edge computing networks. - Kuanishbay Sadatdiynov; Laizhong Cui; Lei Zhang 066; Joshua Zhexue Huang; Salman Salloum; Mohammad Sultan Mahmud (Digit. Commun. Networks, 2023)

Observation points classifier ensemble for high-dimensional imbalanced classification. - Yulin He; Xu Li; Philippe Fournier-Viger; Joshua Zhexue Huang; Mianjie Li; Salman Salloum (CAAI Trans. Intell. Technol., 2023)

A novel observation points-based positive-unlabeled learning algorithm. - Yulin He; Xu Li; Manjing Zhang; Philippe Fournier-Viger; Joshua Zhexue Huang; Salman Salloum (CAAI Trans. Intell. Technol., 2023)