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  1. No Access

    Article

    Modeling Morning Commute with Different Kinds of Activities Based on Bottleneck Model

    Morning commute problem has always been concerned by researchers in transportation research field. For the bottleneck existing in the road network between home and school, this paper studies the household trav...

    Qing Dai, Jiajia Zhang, Zhengkui Lin in Journal of Systems Science and Systems Engineering (2023)

  2. No Access

    Article

    Improved imputation of rule sets in class association rule modeling: application to transportation mode choice

    Predicting transportation mode choice is a critical component of forecasting travel demand. Recently, machine learning methods have become increasingly more popular in predicting transportation mode choice. Cl...

    Jiajia Zhang, Tao Feng, Harry Timmermans, Zhengkui Lin in Transportation (2023)

  3. Article

    Open Access

    A gene module identification algorithm and its applications to identify gene modules and key genes of hepatocellular carcinoma

    To further improve the effect of gene modules identification, combining the Newman algorithm in community detection and K-means algorithm framework, a new method of gene module identification, GCNA-Kpca algori...

    Yan Zhang, Zhengkui Lin, **aofeng Lin, Xue Zhang, Qian Zhao… in Scientific Reports (2021)

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  4. No Access

    Chapter and Conference Paper

    Reputation-Based Framework for Internet of Things

    Internet of Things (IoT) is going to create a world where physical objects are integrated into traditional networks in order to provide intelligent services for human-beings. Trust plays an important role in c...

    Juan Chen, Zhengkui Lin, **n Liu, Zhian Deng… in Machine Learning and Intelligent Communica… (2018)

  5. No Access

    Chapter and Conference Paper

    Scaling Up the Accuracy of Bayesian Classifier Based on Frequent Itemsets by M-estimate

    Frequent Itemsets Mining Classifier (FISC) is an improved Bayesian classifier which averaging all classifiers built by frequent itemsets. Considering that in learning Bayesian network classifier, estimating pr...

    **g Duan, Zhengkui Lin, Weiguo Yi… in Artificial Intelligence and Computational … (2010)