Mining heterogeneous gene expression data with time lagged recurrent neural networks. - Yulan Liang; Arpad Kelemen (KDD, 2002)

Adaptive Generalized Estimation Equation with Bayes Classifier for the Job Assignment Problem. - Yulan Liang; King-Ip Lin; Arpad Kelemen (PAKDD, 2002)

E-DREAM: A Web-Based Platform for Virtual Agile Manufacturing. - Dunbing Tang; Li Zheng; Kwai-Sang Chin; Zhizhong Li 003; Yulan Liang; Xiaojian Jiang; Changjian Hu (Concurr. Eng. Res. Appl., 2002)

Bayesian regularized neural network for multiple gene expression pattern classification. - Arpad Kelemen; Yulan Liang (IJCNN, 2003)

Naive Bayesian classifier for microarray data. - Arpad Kelemen; Hong Zhou; Pamela Lawhead; Yulan Liang (IJCNN, 2003)

Constraint Satisfaction In "Conscious" Software Agents–A Practical Application. - Arpad Kelemen; Stan Franklin; Yulan Liang (Appl. Artif. Intell., 2005)

Differential and trajectory methods for time course gene expression data. - Yulan Liang; Bamidele Tayo; Xueya Cai; Arpad Kelemen (Bioinform., 2005)

Temporal gene expression classification with regularised neural network. - Yulan Liang; Arpad Kelemen (Int. J. Bioinform. Res. Appl., 2005)

Bayesian Dynamic Multivariate Models for Inferring Gene Interaction Networks. - Yulan Liang; Arpad Kelemen (EMBC, 2006)

Real-Time Detection of Driver Cognitive Distraction Using Support Vector Machines. - Yulan Liang; Michelle L. Reyes; John D. Lee (IEEE Trans. Intell. Transp. Syst., 2007)

Bayesian models and meta analysis for multiple tissue gene expression data following corticosteroid administration. - Yulan Liang; Arpad Kelemen (BMC Bioinform., 2008)

Review of Computational Intelligence for Gene-Gene and Gene-Environment Interactions in Disease Mapping. - Arpad Kelemen; Yulan Liang; Athanasios V. Vasilakos (Computational Intelligence in Medical Informatics, 2008)

Time Course Gene Expression Classification with Time Lagged Recurrent Neural Network. - Yulan Liang; Arpad Kelemen (Computational Intelligence in Bioinformatics, 2008)

Computational Intelligence in Bioinformatics: SNP/Haplotype Data in Genetic Association Study for Common Diseases. - Arpad Kelemen; Athanasios V. Vasilakos; Yulan Liang (IEEE Trans. Inf. Technol. Biomed., 2009)

The Effects of Visual and Cognitive Distraction on Driver Situation Awareness. - Meghan Rogers; Yu Zhang; David Kaber; Yulan Liang; Shruti Gangakhedkar (HCI (21), 2011)

Sequential support vector regression with embedded entropy for SNP selection and disease classification. - Yulan Liang; Arpad Kelemen (Stat. Anal. Data Min., 2011)

Effect of performance feedback (or lack thereof) on driver calibration. - Shannon C. Roberts; William J. Horrey; Yulan Liang (AutomotiveUI, 2012)

How Dangerous Is Looking Away From the Road? Algorithms Predict Crash Risk From Glance Patterns in Naturalistic Driving. - Yulan Liang; John D. Lee; Lora Yekhshatyan (Hum. Factors, 2012)

The Effects of Visual and Cognitive Distractions on Operational and Tactical Driving Behaviors. - Yu Zhang; David B. Kaber; Meghan Rogers; Yulan Liang; Shruti Gangakhedkar (Hum. Factors, 2014)

Reading Text While Driving: Understanding Drivers' Strategic and Tactical Adaptation to Distraction. - Yulan Liang; William J. Horrey; Joshua D. Hoffman (Hum. Factors, 2015)

Sequential In-Vehicle Glance Distributions: An Alternative Approach for Analyzing Glance Data. - Yusuke Yamani; William J. Horrey; Yulan Liang; Donald L. Fisher (Hum. Factors, 2015)

Considering Traffic and Roadway Context in Driver Behavior Assessments: A Preliminary Analysis. - Yulan Liang; Elease J. McLaurin; Lucinda A. Simmons; Santosh K. Verma; William J. Horrey; Mary F. Lesch (AutomotiveUI (adjunct), 2016)

Computational dynamic approaches for temporal omics data with applications to systems medicine. - Yulan Liang; Arpad Kelemen (BioData Min., 2017)

Dynamic modeling and network approaches for omics time course data: overview of computational approaches and applications. - Yulan Liang; Arpad Kelemen (Briefings Bioinform., 2018)

Research on Discipline Construction from the Perspective of Big Data Management. - Tengjun Guo; Fangfang Huang; Danli Li; Yulan Liang (DMI, 2023)

Research on the Influencing Mechanism of Higher Education Quality in the Context of Big Data. - Tengjun Guo; Danli Li; Qingzhong Sun; Yulan Liang (MMBD, 2023)