Using a parallel genetic algorithm to design vibratory bowl feeders. - Andrea Edwards (ACM Southeast Regional Conference, 2004)

Actively learning computer graphics. - Jermaine Coston; Andrea Edwards (J. Comput. Sci. Coll., 2005)

Automated feature extraction and object recognition in subcellular images: poster session. - Andrea Edwards (J. Comput. Sci. Coll., 2007)

Breaking the computational barrier: a divide-conquer and aggregate based approach for Alu insertion site characterisation. - Kun Zhang 012; Wei Fan 001; Prescott Deininger; Andrea Edwards; Zujia Xu; Dongxiao Zhu (Int. J. Comput. Biol. Drug Des., 2009)

svdPPCS: an effective singular value decomposition-based method for conserved and divergent co-expression gene module identification. - Wensheng Zhang 005; Andrea Edwards; Wei Fan 001; Dongxiao Zhu; Kun Zhang 012 (BMC Bioinform., 2010)

A programming remediation plan. - Andrea Edwards; Kun Zhang 012 (J. Comput. Sci. Coll., 2010)

RS-Forest: A Rapid Density Estimator for Streaming Anomaly Detection. - Ke Wu; Kun Zhang 012; Wei Fan 001; Andrea Edwards; Philip S. Yu (ICDM, 2014)

Classifying Imbalanced Data Streams via Dynamic Feature Group Weighting with Importance Sampling. - Ke Wu; Andrea Edwards; Wei Fan 001; Jing Gao 004; Kun Zhang 012 (SDM, 2014)

The modularity and dynamicity of miRNA-mRNA interactions in high-grade serous ovarian carcinomas and the prognostic implication. - Wensheng Zhang 005; Andrea Edwards; Wei Fan 001; Erik K. Flemington; Kun Zhang 012 (Comput. Biol. Chem., 2016)

CSTG: An Effective Framework for Cost-sensitive Sparse Online Learning. - Zhong Chen 003; Zhide Fang; Wei Fan 001; Andrea Edwards; Kun Zhang 012 (SDM, 2017)

Online Density Estimation over Streaming Data: A Local Adaptive Solution. - Zhong Chen 003; Zhide Fang; Jiabin Zhao; Wei Fan 001; Andrea Edwards; Kun Zhang 012 (IEEE BigData, 2018)

Learning discriminative subregions and pattern orders for facial gender classification. - Zhong Chen 003; Andrea Edwards; Yongsheng Gao 001; Kun Zhang 012 (Image Vis. Comput., 2019)

Fusion Lasso and Its Applications to Cancer Subtype and Stage Prediction. - Zhong Chen 003; Andrea Edwards; Kun Zhang 012 (BCB, 2020)

CSRDA: Cost-sensitive Regularized Dual Averaging for Handling Imbalanced and High-dimensional Streaming Data. - Zhong Chen 003; Zhide Fang; Victor S. Sheng; Andrea Edwards; Kun Zhang 012 (ICBK, 2021)

A deep imputation and inference framework for estimating personalized and race-specific causal effects of genomic alterations on PSA. - Zhong Chen 003; Bo Cao; Andrea Edwards; Hongwen Deng; Kun Zhang 012 (J. Bioinform. Comput. Biol., 2021)

Adaptive robust local online density estimation for streaming data. - Zhong Chen 003; Zhide Fang; Victor S. Sheng; Jiabin Zhao; Wei Fan 001; Andrea Edwards; Kun Zhang 012 (Int. J. Mach. Learn. Cybern., 2021)

Functional imaging of the developing brain with wearable high-density diffuse optical tomography: A new benchmark for infant neuroimaging outside the scanner environment. - Elisabetta Maria Frijia; Addison Billing; Sarah Lloyd-Fox; Ernesto Vidal Rosas; Liam Collins-Jones; Maria Magdalena Crespo-Llado; Marta Perapoch Amadó; Topun Austin; Andrea Edwards; Luke Dunne; Greg Smith; Reuben Nixon-Hill; et al. (NeuroImage, 2021)

Proximal Cost-sensitive Sparse Group Online Learning. - Zhong Chen 003; Huixin Zhan; Victor S. Sheng; Andrea Edwards; Kun Zhang 012 (IEEE Big Data, 2022)

Projection Dual Averaging Based Second-order Online Learning. - Zhong Chen 003; Huixin Zhan; Victor S. Sheng; Andrea Edwards; Kun Zhang 012 (ICDM, 2022)

Driver gene detection through Bayesian network integration of mutation and expression profiles. - Zhong Chen 003; You Lu; Bo Cao; Wensheng Zhang 005; Andrea Edwards; Kun Zhang 012 (Bioinform., 2022)

Cot-side imaging of functional connectivity in the developing brain during sleep using wearable high-density diffuse optical tomography. - Julie Uchitel; Borja Blanco; Liam Collins-Jones; Andrea Edwards; Emma Porter; Kelle Pammenter; Jem Hebden; Robert J. Cooper; Topun Austin (NeuroImage, 2023)

An effective cost-sensitive sparse online learning framework for imbalanced streaming data classification and its application to online anomaly detection. - Zhong Chen 003; Victor S. Sheng; Andrea Edwards; Kun Zhang 012 (Knowl. Inf. Syst., 2023)

Cost-sensitive sparse group online learning for imbalanced data streams. - Zhong Chen 003; Victor S. Sheng; Andrea Edwards; Kun Zhang 012 (Mach. Learn., 2024)