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, Fadi⋅Caragea, Cornelia⋅Gemperline, David C⋅Dobbs, 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, Cornelia⋅Sinapov, Jivko⋅Dobbs, 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-Hyung⋅Lee, J.-H.⋅Hamilton, Michael⋅Hamilton, M.⋅Gleeson, Colin⋅Gleeson, C.⋅Caragea, Cornelia⋅Caragea, C.⋅Zaback, P.⋅Zaback, Peter⋅Sander, J.D.⋅Sander, Jeffry D⋅Li, X.⋅Li, Xue⋅Wu, Feihong⋅Wu, F.⋅Terribilini, Michael⋅Terribilini, M.⋅Honavar, Vasant⋅Honavar, 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-Hyung⋅Hamilton, Michael⋅Gleeson, Colin⋅Caragea, Cornelia⋅Zaback, Peter⋅Sander, Jeffry D⋅Li, Xue⋅Wu, Feihong⋅Terribilini, Michael⋅Honavar, 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, Jivko⋅Sinapov, J.⋅Dobbs, Drena L⋅Honavar, V. and Honavar, V.
(pp. 104-111)
2007
Assessing the performance of macromolecular sequence classifiers
Caragea, C.⋅Caragea, C.⋅Sinapov, Jivko⋅Sinapov, J.⋅Honavar, V.⋅Honavar, Vasant⋅Dobbs, D. and Dobbs, Drena L
(pp. 320-326)
 
Glycosylation site prediction using ensembles of Support Vector Machine classifiers
Caragea, Cornelia⋅Sinapov, Jivko⋅Silvescu, Adrian⋅Dobbs, 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, Cornelia⋅Sinapov, Jivko⋅Silvescu, Adrian⋅Dobbs, 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, Fadi⋅Towfic, F.⋅Caragea, C.⋅Caragea, C.⋅Dobbs, D.⋅Dobbs, Drena L⋅Gemperline, DC⋅Gemperline, D.C.⋅Wu, Feihong⋅Wu, 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)