Vasant G Honavar

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Drena DobbsUniversity Professor, Emerita, Genetics, Development & Cell Biology, Iowa State UniversityVerified email at iastate.edu
Doina CarageaKansas State UniversityVerified email at ksu.edu
Yasser EL-ManzalawyGeisinger Health SystemVerified email at geisinger.edu
Jie BaoMemectVerified email at memect.co
Samik BasuProfessor of Computer Science, Iowa State UniversityVerified email at iastate.edu
Changhui YanAssociate Professor, Department of Computer Science, North Dakota State UniversityVerified email at ndsu.edu
Cornelia CarageaUniversity of Illinois at ChicagoVerified email at uic.edu
Robert JerniganCurtiss Distinguished Professor in Biochemistry, Biophysics & Molecular Biology, Iowa StateVerified email at iastate.edu
Guy HelmerProfessor of Practice, Ivy College of Business, Iowa State UniversityVerified email at iastate.edu
Li C XueRadboud University Medical CenterVerified email at radboudumc.nl
Dae-Ki KangDongseo universityVerified email at dongseo.ac.kr
Carson AndorfComputational Biologist, USDA-ARSVerified email at iastate.edu
Yiwei SunCoupangVerified email at psu.edu
Tsung-Yu HsiehPennsylvania State UniversityVerified email at psu.edu
Fadi TowficPrometheus BiosciencesVerified email at prometheusbiosciences.com
Robyn LutzIowa State UniversityVerified email at iastate.edu
Robi PolikarProfessor of Electrical and Computer Engineering, Rowan University, Glassboro, NJ, USAVerified email at rowan.edu
James McCalleyProfessor of Electrical and Computer Engineering, Iowa State UniversityVerified email at iastate.edu
Sanghack LeeSeoul National UniversityVerified email at snu.ac.kr
Rasna R. WaliaCorteva AgriscienceVerified email at corteva.com

Vasant G Honavar

Dorothy Foehr Huck and J. Lloyd Huck Chair in Biomedical Data Sciences and Artificial Intelligence

Verified email at psu.edu - Homepage

Artificial Intelligence Machine Learning Data Science Bioinformatics Knowledge Representation


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Feature subset selection using a genetic algorithm J Yang, V Honavar IEEE Intelligent Systems and their Applications 13 (2), 44-49, 1998	2013	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	1093	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	1041	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	729	2008
Predicting RNA-protein interactions using only sequence information UK Muppirala, VG Honavar, D Dobbs BMC bioinformatics 12 (1), 1-11, 2011	407	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	332	2000
Intelligent agents for intrusion detection GG Helmer, JSK Wong, V Honavar, L Miller 1998 IEEE Information Technology Conference, Information Environment for the …, 1998	247	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	231	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	222	2007
Predicting flexible length linear B-cell epitopes Y El-Manzalawy, D Dobbs, V Honavar Computational Systems Bioinformatics: (Volume 7), 121-132, 2008	220	2008
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	218	2006
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	216	2005
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	208	2007
A two-stage classifier for identification of protein–protein interface residues C Yan, D Dobbs, V Honavar Bioinformatics 20 (suppl_1), i371-i378, 2004	200	2004
Recent advances in B-cell epitope prediction methods Y El-Manzalawy, V Honavar Immunome research 6, 1-9, 2010	197	2010
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	186	2002
Characterization of protein–protein interfaces C Yan, F Wu, RL Jernigan, D Dobbs, V Honavar The protein journal 27, 59-70, 2008	181	2008
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	175	2006
WLSVM: integrating LibSVM into Weka environment Y El-Manzalawy, V Honavar Software available at http://www. cs. iastate. edu/yasser/wlsvm, 2005	171	2005
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	168	2005

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