Dawn Wilkins

According to our database1, Dawn Wilkins authored at least 40 papers between 1993 and 2021.

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Bibliography

2021
Estimating Feature-Label Dependence Using Gini Distance Statistics.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

2019
On Cluster Head Selection in Monkey-inspired Optimization based Routing Protocol for WSNs.
Proceedings of the International Conference on Computing, Networking and Communications, 2019

Improving Performance of Convolutional Neural Networks via Feature Embedding.
Proceedings of the 2019 ACM Southeast Conference, 2019

2018
Pareto cascade modeling of diffusion networks.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Integration of Cancer Data through Multiple Mixed Graphical Model.
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

A model of a relative peer grading system for MOOCs.
Proceedings of the ACMSE 2018 Conference, Richmond, KY, USA, March 29-31, 2018, 2018

2017
A Probabilistic Approach to Multiple-Instance Learning.
Proceedings of the Bioinformatics Research and Applications - 13th International Symposium, 2017

Novel gene selection method for breast cancer intrinsic subtypes from two large cohort study.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
A novel cluster-based routing protocol wireless sensor networks using Spider Monkey Optimization.
Proceedings of the IECON 2016, 2016

Survey on swarm intelligence based routing protocols for wireless sensor networks: An extensive study.
Proceedings of the IEEE International Conference on Industrial Technology, 2016

2015
A generative Bayesian model to identify cancer driver genes.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014
Learning accurate and interpretable models based on regularized random forests regression.
BMC Syst. Biol., 2014

Ranking of cancer genes in Markov chain model through integration of heterogeneous sources of data.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

2013
Drug activity prediction using multiple-instance learning via joint instance and feature selection.
BMC Bioinform., 2013

Rule based regression and feature selection for biological data.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2012
Biomarker discovery using 1-norm regularization for multiclass earthworm microarray gene expression data.
Neurocomputing, 2012

Large margin classifiers and Random Forests for integrated biological prediction.
Int. J. Bioinform. Res. Appl., 2012

Implementation of multiple-instance learning in drug activity prediction.
BMC Bioinform., 2012

MySQL and the trouble with temporal data.
Proceedings of the 50th Annual Southeast Regional Conference, 2012

2011
Leveraging domain information to restructure biological prediction.
BMC Bioinform., 2011

Multi-class Joint Rule Extraction and Feature Selection for Biological Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011

2010
Gene selection using 1-norm regularization for multi-class microarray data.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

A comparison of a graph database and a relational database: a data provenance perspective.
Proceedings of the 48th Annual Southeast Regional Conference, 2010

Learning to rank using 1-norm regularization and convex hull reduction.
Proceedings of the 48th Annual Southeast Regional Conference, 2010

2009
Proceedings of the 2009 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Conference.
BMC Bioinform., 2009

Graph ranking for exploratory gene data analysis.
BMC Bioinform., 2009

2008
Proceedings of the 2008 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Conference.
BMC Bioinform., 2008

2007
Proceedings of the Fourth Annual Conference of the MidSouth Computational Biology and Bioinformatics Society.
BMC Bioinform., 2007

Robust clustering in high dimensional data using statistical depths.
BMC Bioinform., 2007

2006
Improving the Performance of SVM-RFE to Select Genes in Microarray Data.
BMC Bioinform., 2006

2000
Evaluating individuals in team projects.
Proceedings of the 31st SIGCSE Technical Symposium on Computer Science Education, 2000

1999
Remote Manipulation of A Robot Arm Via The World Wide Web: Recycling Old Technology.
Proceedings of WebNet 99, 1999

1998
Neural network control for a fire-fighting robot.
Softw. Concepts Tools, 1998

Toward an adaptive WWW: a case study in customised hypermedia.
New Rev. Hypermedia Multim., 1998

A Tool For Homework Submission Using the World Wide Web.
Proceedings of WebNet 98, 1998

A Design for Delivering Filtered Web Views.
Proceedings of WebNet 98, 1998

1997
A Characterization and Nearly Linear-Time Equivalence Test for µ-Branching Programs.
Theory Comput. Syst., 1997

The Effectiveness of Machine Learning Techniques for Predicting Time to Case Disposition.
Proceedings of the Sixth International Conference on Artificial Intelligence and Law, 1997

1996
How Many Queries Are Needed to Learn?
J. ACM, 1996

1993
Learning µ-branching Programs with Queries.
Proceedings of the Sixth Annual ACM Conference on Computational Learning Theory, 1993


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