Dawn Wilkins

Publication Activity (10 Years)

Years Active: 1993-2021
Publications (10 Years): 9

Top Topics

Gene Expression

Top Venues

ACM Southeast Regional Conference

Publications

Silu Zhang, Xin Dang, Dao Nguyen, Dawn Wilkins, Yixin Chen
Estimating Feature-Label Dependence Using Gini Distance Statistics. IEEE Trans. Pattern Anal. Mach. Intell. 43 (6) (2021)
Torumoy Ghoshal, Silu Zhang, Xin Dang, Dawn Wilkins, Yixin Chen
Improving Performance of Convolutional Neural Networks via Feature Embedding. ACM Southeast Regional Conference (2019)
Silu Zhang, Xin Dang, Dao Nguyen, Dawn Wilkins, Yixin Chen
Estimating Feature-Label Dependence Using Gini Distance Statistics. CoRR (2019)
Christopher Ma, Xin Dang, Yixin Chen, Dawn Wilkins
Pareto cascade modeling of diffusion networks. IJCNN (2018)
Christopher Ma, Tina Gui, Xin Dang, Yixin Chen, Dawn Wilkins
Integration of Cancer Data through Multiple Mixed Graphical Model. BCB (2018)
Timothy Holston, Dawn Wilkins
A model of a relative peer grading system for MOOCs. ACM Southeast Regional Conference (2018)
Silu Zhang, Yixin Chen, Dawn Wilkins
A Probabilistic Approach to Multiple-Instance Learning. ISBRA (2017)
Silu Zhang, Yin-yuan Mo, Torumoy Ghoshal, Dawn Wilkins, Yixin Chen, Yunyun Zhou
Novel gene selection method for breast cancer intrinsic subtypes from two large cohort study. BIBM (2017)
Tina Gui, Christopher Ma, Feng Wang, Jinyang Li, Dawn Wilkins
A novel cluster-based routing protocol wireless sensor networks using Spider Monkey Optimization. IECON (2016)
Christopher Ma, Zhendong Zhao, Tina Gui, Yixin Chen, Xin Dang, Dawn Wilkins
A generative Bayesian model to identify cancer driver genes. BIBM (2015)
Sheng Liu, Shamitha Dissanayake, Sanjay Patel, Xin Dang, Todd Mlsna, Yixin Chen, Dawn Wilkins
Learning accurate and interpretable models based on regularized random forests regression. BMC Syst. Biol. 8 (S-3) (2014)
Christopher Ma, Yixin Chen, Dawn Wilkins
Ranking of cancer genes in Markov chain model through integration of heterogeneous sources of data. BIBM (2014)
Zhendong Zhao, Gang Fu, Sheng Liu, Khaled M. Elokely, Robert J. Doerksen, Yixin Chen, Dawn Wilkins
Drug activity prediction using multiple-instance learning via joint instance and feature selection. BMC Bioinform. 14 (S-14) (2013)
Sheng Liu, Shamitha Dissanayake, Sanjay Patel, Xin Dang, Todd Mlsna, Yixin Chen, Dawn Wilkins
Rule based regression and feature selection for biological data. BIBM (2013)
Xiaofei Nan, Nan Wang, Ping Gong, Chaoyang Zhang, Yixin Chen, Dawn Wilkins
Biomarker discovery using 1-norm regularization for multiclass earthworm microarray gene expression data. Neurocomputing 92 (2012)
Sheng Liu, Yixin Chen, Dawn Wilkins
Large margin classifiers and Random Forests for integrated biological prediction. Int. J. Bioinform. Res. Appl. 8 (1/2) (2012)
Gang Fu, Xiaofei Nan, Haining Liu, Ronak Y. Patel, Pankaj R. Daga, Yixin Chen, Dawn Wilkins, Robert J. Doerksen
Implementation of multiple-instance learning in drug activity prediction. BMC Bioinform. 13 (S-15) (2012)
Chad Vicknair, Dawn Wilkins, Yixin Chen
MySQL and the trouble with temporal data. ACM Southeast Regional Conference (2012)
Xiaofei Nan, Gang Fu, Zhengdong Zhao, Sheng Liu, Ronak Y. Patel, Haining Liu, Pankaj R. Daga, Robert J. Doerksen, Xin Dang, Yixin Chen, Dawn Wilkins
Leveraging domain information to restructure biological prediction. BMC Bioinform. 12 (S-10) (2011)
Sheng Liu, Ronak Y. Patel, Pankaj R. Daga, Haining Liu, Gang Fu, Robert J. Doerksen, Yixin Chen, Dawn Wilkins
Multi-class Joint Rule Extraction and Feature Selection for Biological Data. BIBM (2011)
Xiaofei Nan, Nan Wang, Ping Gong, Chaoyang Zhang, Yixin Chen, Dawn Wilkins
Gene selection using 1-norm regularization for multi-class microarray data. BIBM (2010)
Chad Vicknair, Michael Macias, Zhendong Zhao, Xiaofei Nan, Yixin Chen, Dawn Wilkins
A comparison of a graph database and a relational database: a data provenance perspective. ACM Southeast Regional Conference (2010)
Xiaofei Nan, Yixin Chen, Xin Dang, Dawn Wilkins
Learning to rank using 1-norm regularization and convex hull reduction. ACM Southeast Regional Conference (2010)
Cuilan Gao, Xin Dang, Yixin Chen, Dawn Wilkins
Graph ranking for exploratory gene data analysis. BMC Bioinform. 10 (S-11) (2009)
Jonathan D. Wren, Yuriy Gusev, Raphael D. Isokpehi, Daniel Berleant, Ulisses M. Braga-Neto, Dawn Wilkins, Susan Bridges
Proceedings of the 2009 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Conference. BMC Bioinform. 10 (S-11) (2009)
Jonathan D. Wren, Dawn Wilkins, James C. Fuscoe, Susan Bridges, Stephen Winters-Hilt, Yuriy Gusev
Proceedings of the 2008 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Conference. BMC Bioinform. 9 (S-9) (2008)
Yuanyuan Ding, Xin Dang, Hanxiang Peng, Dawn Wilkins
Robust clustering in high dimensional data using statistical depths. BMC Bioinform. 8 (S-7) (2007)
Dawn Wilkins, Yuriy Gusev, Raja Loganantharaj, Susan Bridges, Stephen Winters-Hilt, Jonathan D. Wren
Proceedings of the Fourth Annual Conference of the MidSouth Computational Biology and Bioinformatics Society. BMC Bioinform. 8 (S-7) (2007)
Yuanyuan Ding, Dawn Wilkins
Improving the Performance of SVM-RFE to Select Genes in Microarray Data. BMC Bioinform. 7 (S-2) (2006)
Dawn Wilkins, Pamela B. Lawhead
Evaluating individuals in team projects. SIGCSE (2000)
Dawn Wilkins, Pamela B. Lawhead
Remote Manipulation of A Robot Arm Via The World Wide Web: Recycling Old Technology. WebNet (1999)
Kathryn F. Gates, Pamela B. Lawhead, Dawn Wilkins
Toward an adaptive WWW: a case study in customised hypermedia. New Rev. Hypermedia Multim. 4 (1998)
Yan Zhou, Dawn Wilkins, Robert P. Cook
Neural network control for a fire-fighting robot. Softw. Concepts Tools 19 (3) (1998)
Kathryn F. Gates, Pamela B. Lawhead, Dawn Wilkins
A Design for Delivering Filtered Web Views. WebNet (1998)
Krishnan Pillaipakkamnatt, Dawn Wilkins
A Tool For Homework Submission Using the World Wide Web. WebNet (1998)
Dawn Wilkins, Krishnan Pillaipakkamnatt
The Effectiveness of Machine Learning Techniques for Predicting Time to Case Disposition. ICAIL (1997)
Vijay Raghavan, Dawn Wilkins
A Characterization and Nearly Linear-Time Equivalence Test for µ-Branching Programs. Theory Comput. Syst. 30 (3) (1997)
Lisa Hellerstein, Krishnan Pillaipakkamnatt, Vijay Raghavan, Dawn Wilkins
How Many Queries Are Needed to Learn? J. ACM 43 (5) (1996)
Lisa Hellerstein, Krishnan Pillaipakkamnatt, Vijay Raghavan, Dawn Wilkins
How many queries are needed to learn? STOC (1995)
Vijay Raghavan, Dawn Wilkins
Learning µ-branching Programs with Queries. COLT (1993)