Dawn Wilkins
Dawn Wilkins
Professor of Computer & Information Science, University of Mississippi
Verified email at cs.olemiss.edu
Title
Cited by
Cited by
Year
Classification, subtype discovery, and prediction of outcome in pediatric acute lymphoblastic leukemia by gene expression profiling
EJ Yeoh, ME Ross, SA Shurtleff, WK Williams, D Patel, R Mahfouz, ...
Cancer cell 1 (2), 133-143, 2002
22472002
A comparison of a graph database and a relational database: a data provenance perspective
C Vicknair, M Macias, Z Zhao, X Nan, Y Chen, D Wilkins
Proceedings of the 48th annual Southeast regional conference, 1-6, 2010
5142010
How many queries are needed to learn?
L Hellerstein, K Pillaipakkamnatt, V Raghavan, D Wilkins
Journal of the ACM (JACM) 43 (5), 840-862, 1996
1431996
Evaluating individuals in team projects
DE Wilkins, PB Lawhead
ACM SIGCSE Bulletin 32 (1), 172-175, 2000
782000
Improving the performance of SVM-RFE to select genes in microarray data
Y Ding, D Wilkins
BMC bioinformatics 7 (2), 1-8, 2006
772006
Survey on swarm intelligence based routing protocols for wireless sensor networks: An extensive study
T Gui, C Ma, F Wang, DE Wilkins
2016 IEEE international conference on industrial technology (ICIT), 1944-1949, 2016
572016
Implementation of multiple-instance learning in drug activity prediction
G Fu, X Nan, H Liu, RY Patel, PR Daga, Y Chen, DE Wilkins, RJ Doerksen
BMC bioinformatics 13 (15), 1-12, 2012
402012
The effect of normalization on microarray data analysis
Y Ding, D Wilkins
DNA and cell biology 23 (10), 635-642, 2004
342004
Toward an adaptive WWW: a case study in customized hypermedia
KF Gates, PB Lawhead, DE Wilkins
New review of hypermedia and multimedia 4 (1), 89-113, 1998
321998
Combined rule extraction and feature elimination in supervised classification
S Liu, RY Patel, PR Daga, H Liu, G Fu, RJ Doerksen, Y Chen, DE Wilkins
IEEE transactions on nanobioscience 11 (3), 228-236, 2012
302012
Learning μ-branching programs with queries
V Raghavan, D Wilkins
Proceedings of the sixth annual conference on Computational learning theory …, 1993
301993
The effectiveness of machine learning techniques for predicting time to case disposition
D Wilkins, K Pillaipakkamnatt
Proceedings of the 6th international conference on Artificial intelligence …, 1997
291997
lncRNA gene signatures for prediction of breast cancer intrinsic subtypes and prognosis
S Zhang, J Wang, T Ghoshal, D Wilkins, YY Mo, Y Chen, Y Zhou
Genes 9 (2), 65, 2018
282018
Learning accurate and interpretable models based on regularized random forests regression
S Liu, S Dissanayake, S Patel, X Dang, T Mlsna, Y Chen, D Wilkins
BMC systems biology 8 (3), 1-9, 2014
232014
Performance Comparison of Alternative Solutions For Web-To-Database Applications–
A Wu, H Wang, D Wilkins
Proceedings of the Southern Conference on Computing, 26-28, 2000
232000
Robust clustering in high dimensional data using statistical depths
Y Ding, X Dang, H Peng, D Wilkins
BMC bioinformatics 8 (7), 1-16, 2007
222007
A novel cluster-based routing protocol wireless sensor networks using spider monkey optimization
T Gui, C Ma, F Wang, J Li, DE Wilkins
IECON 2016-42nd Annual Conference of the IEEE Industrial Electronics Society …, 2016
212016
Drug activity prediction using multiple-instance learning via joint instance and feature selection
Z Zhao, G Fu, S Liu, KM Elokely, RJ Doerksen, Y Chen, DE Wilkins
BMC bioinformatics 14 (14), 1-12, 2013
212013
Classification and prognosis prediction of acute lymphoblastic leukemia by gene expression profiling
J Downing, EJ Yeoh, D Wilkins, L Wong
US Patent App. 10/391,271, 2004
182004
Classification and prognosis prediction of acute lymphoblastic leukemia by gene expression profiling
J Downing, EJ Yeoh, D Wilkins, L Wong
US Patent App. 10/391,271, 2004
182004
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