115 Publications (Page 5 of 5)
2010
Semi-supervised sequence classification using Abstraction Augmented Markov Models
Caragea, C.Caragea, C.Silvescu, A.Silvescu, A.Caragea, D.Caragea, D.Honavar, V. and Honavar, V.
(pp. 257-264)
 
Struct-NB: predicting protein-RNA binding sites using structural features
Towfic, FadiCaragea, CorneliaGemperline, David CDobbs, Drena L and Honavar, Vasant
International Journal of Data Mining and Bioinformatics, vol. 4, (no. 1), pp. 21-43, 2010. | Journal Article
2009
Combining super-structuring and abstraction on sequence classification
Silvescu, A.Caragea, C. and Honavar, V.
(pp. 986-991)
 
Learning link-based classifiers from ontology-extended textual data
Caragea, C.Caragea, C.Caragea, D.Caragea, D.Honavar, V. and Honavar, V.
(pp. 354-361)
 
Learning link-based naïve bayes classifiers from ontology-extended distributed data
Caragea, C.Caragea, C.Caragea, D.Caragea, D.Honavar, V. and Honavar, V.
(pp. 1139-1146)
 
Mixture of experts models to exploit global sequence similarity on biomolecular sequence labeling.
Caragea, CorneliaSinapov, JivkoDobbs, Drena L and Honavar, Vasant
BMC bioinformatics, vol. 10 Suppl 4, pp. S4, 2009. | Journal Article
2008
Learning classifiers from large databases using statistical queries
Koul, N.Koul, N.Caragea, C.Caragea, C.Honavar, V.Honavar, V.Bahirwani, V.Bahirwani, V.Caragea, D. and Caragea, D.
(pp. 923-926)
 
Striking similarities in diverse telomerase proteins revealed by combining structure prediction and machine learning approaches
Lee, Jae-HyungLee, J.-H.Hamilton, MichaelHamilton, M.Gleeson, ColinGleeson, C.Caragea, CorneliaCaragea, C.Zaback, P.Zaback, PeterSander, J.D.Sander, Jeffry DLi, X.Li, XueWu, FeihongWu, F.Terribilini, MichaelTerribilini, M.Honavar, VasantHonavar, V.Dobbs, D. and others
(pp. 501-512)
 
Striking similarities in diverse telomerase proteins revealed by combining structure prediction and machine learning approaches.
Lee, Jae-HyungHamilton, MichaelGleeson, ColinCaragea, CorneliaZaback, PeterSander, Jeffry DLi, XueWu, FeihongTerribilini, MichaelHonavar, Vasant and Dobbs, Drena L
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, pp. 501-12, 2008. | Journal Article
 
Using global sequence similarity to enhance biological sequence labeling
Caragea, C.Caragea, C.Dobbs, D.Sinapov, JivkoSinapov, J.Dobbs, Drena LHonavar, V. and Honavar, V.
(pp. 104-111)
2007
Assessing the performance of macromolecular sequence classifiers
Caragea, C.Caragea, C.Sinapov, JivkoSinapov, J.Honavar, V.Honavar, VasantDobbs, D. and Dobbs, Drena L
(pp. 320-326)
 
Glycosylation site prediction using ensembles of Support Vector Machine classifiers
Caragea, CorneliaSinapov, JivkoSilvescu, AdrianDobbs, Drena L and Honavar, Vasant
BMC Bioinformatics, vol. 8, pp. 438-438, 2007. | Journal Article
 
Glycosylation site prediction using ensembles of Support Vector Machine classifiers.
Caragea, CorneliaSinapov, JivkoSilvescu, AdrianDobbs, Drena L and Honavar, Vasant
BMC bioinformatics, vol. 8, pp. 438, 2007. | Journal Article
 
Structural characterization of RNA-binding sites of proteins: Preliminary results
Towfic, FadiTowfic, F.Caragea, C.Caragea, C.Dobbs, D.Dobbs, Drena LGemperline, DCGemperline, D.C.Wu, FeihongWu, F.Honavar, V. and Honavar, Vasant
(pp. 60-66)
2005
Learning Support Vector Machines from distributed data sources
Caragea, C.Caragea, C.Caragea, D.Caragea, D.Honavar, V. and Honavar, V.
(pp. 1602-1603)