Vasant G Honavar
Vasant G Honavar
Dorothy Foehr Huck and J. Lloyd Huck Chair in Biomedical Data Sciences and Artificial Intelligence
Verified email at - Homepage
Cited by
Cited by
Feature subset selection using a genetic algorithm
J Yang, V Honavar
IEEE Intelligent Systems and their Applications 13 (2), 44-49, 1998
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
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
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
Predicting RNA-protein interactions using only sequence information
UK Muppirala, VG Honavar, D Dobbs
BMC bioinformatics 12, 1-11, 2011
Constructive neural-network learning algorithms for pattern classification
R Parekh, J Yang, V Honavar
IEEE Transactions on neural networks 11 (2), 436-451, 2000
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
Predicting flexible length linear B-cell epitopes
Y El-Manzalawy, D Dobbs, V Honavar
Computational Systems Bioinformatics: (Volume 7), 121-132, 2008
Intelligent agents for intrusion detection
GG Helmer, JSK Wong, V Honavar, L Miller
1998 IEEE Information Technology Conference, Information Environment for the …, 1998
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
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
Recent advances in B-cell epitope prediction methods
Y El-Manzalawy, V Honavar
Immunome research 6, 1-9, 2010
Glycosylation site prediction using ensembles of Support Vector Machine classifiers
C Caragea, J Sinapov, A Silvescu, D Dobbs, V Honavar
BMC bioinformatics 8, 1-13, 2007
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
Characterization of protein–protein interfaces
C Yan, F Wu, RL Jernigan, D Dobbs, V Honavar
The protein journal 27, 59-70, 2008
A two-stage classifier for identification of protein–protein interface residues
C Yan, D Dobbs, V Honavar
Bioinformatics 20 (suppl_1), i371-i378, 2004
Computational prediction of protein interfaces: A review of data driven methods
LC Xue, D Dobbs, AMJJ Bonvin, V Honavar
FEBS letters 589 (23), 3516-3526, 2015
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, 207-220, 2002
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, 1-10, 2006
WLSVM: integrating LibSVM into Weka environment
Y El-Manzalawy, V Honavar
Software available at http://www. cs. iastate. edu/yasser/wlsvm, 2005
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