Dawn Wilkins
Dawn Wilkins
Professor of Computer & Information Science, University of Mississippi
Dirección de correo verificada de cs.olemiss.edu
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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
21222002
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
4222010
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
1391996
Evaluating individuals in team projects
DE Wilkins, PB Lawhead
ACM SIGCSE Bulletin 32 (1), 172-175, 2000
702000
Improving the performance of SVM-RFE to select genes in microarray data
Y Ding, D Wilkins
BMC bioinformatics 7 (S2), S12, 2006
682006
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
422016
The effect of normalization on microarray data analysis
Y Ding, D Wilkins
DNA and cell biology 23 (10), 635-642, 2004
332004
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
Learning μ-branching programs with queries
V Raghavan, D Wilkins
Proceedings of the sixth annual conference on Computational learning theory …, 1993
301993
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 (S15), S3, 2012
282012
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
271997
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
232012
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
222000
Robust clustering in high dimensional data using statistical depths
Y Ding, X Dang, H Peng, D Wilkins
BMC bioinformatics 8 (S7), S8, 2007
202007
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
172018
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), S5, 2014
162014
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 (S14), S16, 2013
162013
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
162004
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
162004
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
142016
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Artículos 1–20