| Feature subset selection using a genetic algorithm J Yang, V Honavar IEEE Intelligent Systems and their Applications 13 (2), 44-49, 1998 | 2145 | 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 | 1191 | 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 | 1148 | 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 | 811 | 2008 |
| Predicting RNA-protein interactions using only sequence information UK Muppirala, VG Honavar, D Dobbs BMC bioinformatics 12, 1-11, 2011 | 474 | 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 | 389* | 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 | 279* | 2005 |
| Predicting flexible length linear B-cell epitopes Y El-Manzalawy, D Dobbs, V Honavar Computational Systems Bioinformatics: (Volume 7), 121-132, 2008 | 252 | 2008 |
| Intelligent agents for intrusion detection GG Helmer, JSK Wong, V Honavar, L Miller 1998 IEEE Information Technology Conference, Information Environment for the …, 1998 | 248 | 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 | 235 | 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 | 228 | 2007 |
| Recent advances in B-cell epitope prediction methods Y El-Manzalawy, V Honavar Immunome research 6, 1-9, 2010 | 223 | 2010 |
| 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 | 223 | 2006 |
| 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 | 221 | 2007 |
| Characterization of protein–protein interfaces C Yan, F Wu, RL Jernigan, D Dobbs, V Honavar The protein journal 27, 59-70, 2008 | 213 | 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 | 201 | 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 | 190 | 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 | 188 | 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 | 182 | 2006 |
| WLSVM: integrating LibSVM into Weka environment Y El-Manzalawy, V Honavar Software available at http://www. cs. iastate. edu/yasser/wlsvm, 2005 | 174 | 2005 |
Drena DobbsUniversity Professor, Emerita, Genetics, Development & Cell Biology, Iowa State University在 iastate.edu 的电子邮件经过验证
