Learning µ-branching Programs with Queries. - Vijay Raghavan 002; Dawn Wilkins (COLT, 1993)

How Many Queries Are Needed to Learn? - Lisa Hellerstein; Krishnan Pillaipakkamnatt; Vijay Raghavan 002; Dawn Wilkins (J. ACM, 1996)

The Effectiveness of Machine Learning Techniques for Predicting Time to Case Disposition. - Dawn Wilkins; Krishnan Pillaipakkamnatt (ICAIL, 1997)

A Characterization and Nearly Linear-Time Equivalence Test for µ-Branching Programs. - Vijay Raghavan 002; Dawn Wilkins (Theory Comput. Syst., 1997)

A Design for Delivering Filtered Web Views. - Kathryn F. Gates; Pamela B. Lawhead; Dawn Wilkins (WebNet, 1998)

A Tool For Homework Submission Using the World Wide Web. - Krishnan Pillaipakkamnatt; Dawn Wilkins (WebNet, 1998)

Toward an adaptive WWW: a case study in customised hypermedia. - Kathryn F. Gates; Pamela B. Lawhead; Dawn Wilkins (New Rev. Hypermedia Multim., 1998)

Neural network control for a fire-fighting robot. - Yan Zhou; Dawn Wilkins; Robert P. Cook (Softw. Concepts Tools, 1998)

Remote Manipulation of A Robot Arm Via The World Wide Web: Recycling Old Technology. - Dawn Wilkins; Pamela B. Lawhead (WebNet, 1999)

Evaluating individuals in team projects. - Dawn Wilkins; Pamela B. Lawhead (SIGCSE, 2000)

Improving the Performance of SVM-RFE to Select Genes in Microarray Data. - Yuanyuan Ding; Dawn Wilkins (BMC Bioinform., 2006)

Robust clustering in high dimensional data using statistical depths. - Yuanyuan Ding; Xin Dang; Hanxiang Peng; Dawn Wilkins (BMC Bioinform., 2007)

Proceedings of the Fourth Annual Conference of the MidSouth Computational Biology and Bioinformatics Society. - Dawn Wilkins; Yuriy Gusev; Raja Loganantharaj; Susan Bridges; Stephen Winters-Hilt; Jonathan D. Wren (BMC Bioinform., 2007)

How are your enrollments?: panel discussion. - Paul D. Wiedemeier; Jose L. Cordova; Linda B. Sherrell; Dawn Wilkins (J. Comput. Sci. Coll., 2007)

Proceedings of the 2008 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Conference. - Jonathan D. Wren; Dawn Wilkins; James C. Fuscoe; Susan Bridges; Stephen Winters-Hilt; Yuriy Gusev (BMC Bioinform., 2008)

Graph ranking for exploratory gene data analysis. - Cuilan Gao; Xin Dang; Yixin Chen 002; Dawn Wilkins (BMC Bioinform., 2009)

Proceedings of the 2009 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Conference. - Jonathan D. Wren; Yuriy Gusev; Raphael D. Isokpehi; Daniel Berleant; Ulisses M. Braga-Neto; Dawn Wilkins; Susan Bridges (BMC Bioinform., 2009)

Learning to rank using 1-norm regularization and convex hull reduction. - Xiaofei Nan; Yixin Chen 002; Xin Dang; Dawn Wilkins (ACM Southeast Regional Conference, 2010)

A comparison of a graph database and a relational database: a data provenance perspective. - Chad Vicknair; Michael Macias; Zhendong Zhao; Xiaofei Nan; Yixin Chen 002; Dawn Wilkins (ACM Southeast Regional Conference, 2010)

Gene selection using 1-norm regularization for multi-class microarray data. - Xiaofei Nan; Nan Wang 002; Ping Gong 001; Chaoyang Zhang; Yixin Chen 002; Dawn Wilkins (BIBM, 2010)

Multi-class Joint Rule Extraction and Feature Selection for Biological Data. - Sheng Liu; Ronak Y. Patel; Pankaj R. Daga; Haining Liu; Gang Fu; Robert J. Doerksen; Yixin Chen 002; Dawn Wilkins (BIBM, 2011)

Leveraging domain information to restructure biological prediction. - Xiaofei Nan; Gang Fu; Zhengdong Zhao; Sheng Liu; Ronak Y. Patel; Haining Liu; Pankaj R. Daga; Robert J. Doerksen; Xin Dang; Yixin Chen 002; Dawn Wilkins (BMC Bioinform., 2011)

MySQL and the trouble with temporal data. - Chad Vicknair; Dawn Wilkins; Yixin Chen 002 (ACM Southeast Regional Conference, 2012)

Implementation of multiple-instance learning in drug activity prediction. - Gang Fu; Xiaofei Nan; Haining Liu; Ronak Y. Patel; Pankaj R. Daga; Yixin Chen 002; Dawn Wilkins; Robert J. Doerksen (BMC Bioinform., 2012)

Large margin classifiers and Random Forests for integrated biological prediction. - Sheng Liu; Yixin Chen 002; Dawn Wilkins (Int. J. Bioinform. Res. Appl., 2012)

Biomarker discovery using 1-norm regularization for multiclass earthworm microarray gene expression data. - Xiaofei Nan; Nan Wang 002; Ping Gong 001; Chaoyang Zhang; Yixin Chen 002; Dawn Wilkins (Neurocomputing, 2012)

Rule based regression and feature selection for biological data. - Sheng Liu; Shamitha Dissanayake; Sanjay Patel; Xin Dang; Todd Mlsna; Yixin Chen 002; Dawn Wilkins (BIBM, 2013)

Drug activity prediction using multiple-instance learning via joint instance and feature selection. - Zhendong Zhao; Gang Fu; Sheng Liu; Khaled M. Elokely; Robert J. Doerksen; Yixin Chen 002; Dawn Wilkins (BMC Bioinform., 2013)

Student attendance reporting prototype using SSQL. - Courtney Humphries; Dawn Wilkins (J. Comput. Sci. Coll., 2013)

Ranking of cancer genes in Markov chain model through integration of heterogeneous sources of data. - Christopher Ma; Yixin Chen 002; Dawn Wilkins (BIBM, 2014)

Learning accurate and interpretable models based on regularized random forests regression. - Sheng Liu; Shamitha Dissanayake; Sanjay Patel; Xin Dang; Todd Mlsna; Yixin Chen 002; Dawn Wilkins (BMC Syst. Biol., 2014)

A generative Bayesian model to identify cancer driver genes. - Christopher Ma; Zhendong Zhao; Tina Gui; Yixin Chen 002; Xin Dang; Dawn Wilkins (BIBM, 2015)

Survey on swarm intelligence based routing protocols for wireless sensor networks: An extensive study. - Tina Gui; Christopher Ma; Feng Wang; Dawn E. Wilkins (ICIT, 2016)

A novel cluster-based routing protocol wireless sensor networks using Spider Monkey Optimization. - Tina Gui; Christopher Ma; Feng Wang; Jinyang Li; Dawn Wilkins (IECON, 2016)

Novel gene selection method for breast cancer intrinsic subtypes from two large cohort study. - Silu Zhang; Yin-yuan Mo; Torumoy Ghoshal; Dawn Wilkins; Yixin Chen 002; Yunyun Zhou (BIBM, 2017)

A Probabilistic Approach to Multiple-Instance Learning. - Silu Zhang; Yixin Chen 002; Dawn Wilkins (ISBRA, 2017)

A model of a relative peer grading system for MOOCs. - Timothy Holston; Dawn Wilkins (ACM Southeast Regional Conference, 2018)

Integration of Cancer Data through Multiple Mixed Graphical Model. - Christopher Ma; Tina Gui; Xin Dang; Yixin Chen 002; Dawn Wilkins (BCB, 2018)

Pareto cascade modeling of diffusion networks. - Christopher Ma; Xin Dang; Yixin Chen 002; Dawn Wilkins (IJCNN, 2018)

Improving Performance of Convolutional Neural Networks via Feature Embedding. - Torumoy Ghoshal; Silu Zhang; Xin Dang; Dawn Wilkins; Yixin Chen 002 (ACM Southeast Regional Conference, 2019)

On Cluster Head Selection in Monkey-inspired Optimization based Routing Protocol for WSNs. - Tina Gui; Feng Wang; Christopher Ma; Dawn E. Wilkins (ICNC, 2019)

Estimating Feature-Label Dependence Using Gini Distance Statistics. - Silu Zhang; Xin Dang; Dao Nguyen; Dawn Wilkins; Yixin Chen 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2021)