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Vasant G Honavar
Vasant G Honavar
Dorothy Foehr Huck and J. Lloyd Huck Chair in Biomedical Data Sciences and Artificial Intelligence
Verified email at psu.edu - Homepage
Title
Cited by
Cited by
Year
Feature subset selection using a genetic algorithm
J Yang, V Honavar
Feature extraction, construction and selection, 117-136, 1998
20101998
Learn++: An incremental learning algorithm for supervised neural networks
R Polikar, L Upda, SS Upda, V Honavar
IEEE transactions on systems, man, and cybernetics, part C (applications and …, 2001
10652001
Mobile health technology evaluation: the mHealth evidence workshop
S Kumar, WJ Nilsen, A Abernethy, A Atienza, K Patrick, M Pavel, WT Riley, ...
American journal of preventive medicine 45 (2), 228-236, 2013
10052013
Predicting linear B‐cell epitopes using string kernels
Y EL‐Manzalawy, D Dobbs, V Honavar
Journal of Molecular Recognition: An Interdisciplinary Journal 21 (4), 243-255, 2008
6952008
Predicting RNA-protein interactions using only sequence information
UK Muppirala, VG Honavar, D Dobbs
BMC bioinformatics 12 (1), 1-11, 2011
3852011
Constructive neural-network learning algorithms for pattern classification
R Parekh, J Yang, V Honavar
IEEE Transactions on neural networks 11 (2), 436-451, 2000
3292000
Intelligent agents for intrusion detection
GG Helmer, JSK Wong, V Honavar, L Miller
1998 IEEE Information Technology Conference, Information Environment for the …, 1998
2441998
Lightweight agents for intrusion detection
G Helmer, JSK Wong, V Honavar, L Miller, Y Wang
Journal of systems and Software 67 (2), 109-122, 2003
2332003
RNABindR: a server for analyzing and predicting RNA-binding sites in proteins
M Terribilini, JD Sander, JH Lee, P Zaback, RL Jernigan, V Honavar, ...
Nucleic acids research 35 (suppl_2), W578-W584, 2007
2182007
Prediction of RNA binding sites in proteins from amino acid sequence
M Terribilini, JH Lee, C Yan, RL Jernigan, V Honavar, D Dobbs
Rna 12 (8), 1450-1462, 2006
2152006
Learning classifiers for misuse and anomaly detection using a bag of system calls representation
DK Kang, D Fuller, V Honavar
Proceedings from the Sixth Annual IEEE SMC Information Assurance Workshop …, 2005
2112005
Predicting flexible length linear B-cell epitopes
Y El-Manzalawy, D Dobbs, V Honavar
Computational Systems Bioinformatics: (Volume 7), 121-132, 2008
2092008
Glycosylation site prediction using ensembles of Support Vector Machine classifiers
C Caragea, J Sinapov, A Silvescu, D Dobbs, V Honavar
BMC bioinformatics 8 (1), 1-13, 2007
2012007
A two-stage classifier for identification of protein–protein interface residues
C Yan, D Dobbs, V Honavar
Bioinformatics 20 (suppl_1), i371-i378, 2004
1962004
Recent advances in B-cell epitope prediction methods
Y El-Manzalawy, V Honavar
Immunome research 6 (2), 1-9, 2010
1902010
A software fault tree approach to requirements analysis of an intrusion detection system
G Helmer, J Wong, M Slagell, V Honavar, L Miller, R Lutz
Requirements Engineering 7 (4), 207-220, 2002
1862002
Characterization of protein–protein interfaces
C Yan, F Wu, RL Jernigan, D Dobbs, V Honavar
The protein journal 27 (1), 59-70, 2008
1762008
Predicting DNA-binding sites of proteins from amino acid sequence
C Yan, M Terribilini, F Wu, RL Jernigan, D Dobbs, V Honavar
BMC bioinformatics 7 (1), 1-10, 2006
1732006
WLSVM: integrating LibSVM into Weka environment
Y El-Manzalawy, V Honavar
Software available at http://www. cs. iastate. edu/yasser/wlsvm, 2005
1702005
A framework for semantic web services discovery
J Pathak, N Koul, D Caragea, VG Honavar
Proceedings of the 7th annual ACM international workshop on Web information …, 2005
1662005
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