92 Publications (Page 3 of 4)
2018
Image Segmentation Stability: An Empirical InvestigationBrown, C.S.⋅Brown, C Scott⋅Bradley Glisson, W.⋅Glisson, William Bradley⋅Benton, R.⋅Benton, Ryan⋅Shropshire, Jordan⋅Shropshire, J.⋅Watts, Thomas⋅Watts, T.⋅Sullivan, T. and Sullivan, TimothyConference Proceedings - IEEE SOUTHEASTCON, vol. 2018-April.
| Conference Proceeding
Manipulating the five V?s in the next generation air transportation systemMink, D.⋅Mink, D.⋅Mink, D.⋅Mink, D.⋅Glisson, W.B.⋅Glisson, W.B.⋅Glisson, W.B.⋅Glisson, W.B.⋅Benton, R.⋅Benton, R.⋅Benton, R.⋅Benton, R.⋅Choo, K. K.R.⋅Choo, K. K.R.⋅Choo, K.-K.R. and Choo, K.-K.R.2018
On-Device Detection via Anomalous Environmental FactorsGautier, Adam M.⋅Andel, Todd R. and Benton, RyanACM Press. | Conference Proceeding
2017
Effective Removal of Noisy Data Via Batch Effect Processing.
Benton, Ryan G
Methods in molecular biology (Clifton, N.J.), vol. 1617, pp. 187-196, 2017. | Journal Article
Framework for real-time event detection using multiple social media sourcesKatragadda, S.⋅Benton, R. and Raghavan, V.(pp. 1716-1725)
Framework for Real-Time Event Detection using Multiple Social Media SourcesSatya Katragadda, Ryan Benton and Raghavan, VijayHawaii International Conference on System Sciences. | Conference Proceeding
Machine Learning Techniques in Exploring MicroRNA Gene Discovery, Targets, and Functions.
Singh, Sumi⋅Benton, Ryan G⋅Singh, Anurag and Singh, Anshuman
Methods in molecular biology (Clifton, N.J.), vol. 1617, pp. 211-224, 2017. | Journal Article
Online mining for association rules and collective anomalies in data streamsAbbady, S.⋅Ke, C.-Y.⋅Lavergne, J.⋅Chen, J.⋅Raghavan, V. and Benton, R.Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017, vol. 2018-January, pp. 2370-2379. | Conference Proceeding
Sub-event detection from tweetsKatragadda, S.⋅Benton, R. and Raghavan, V.Proceedings of the International Joint Conference on Neural Networks, vol. 2017-May, pp. 2128-2135. | Conference Proceeding
Supervised approach to rank predicted links using interestingness measuresPusala, M.K.⋅Benton, R.G.⋅Raghavan, V.V. and Gottumukkala, R.N.Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017, vol. 2017-January, pp. 1085-1092. | Conference Proceeding
Understanding de-identification of healthcare big dataVan Devender, M.S.⋅Van Devender, M.S.⋅Benton, R.⋅Benton, R.⋅Glisson, W.B.⋅Glisson, W.B.⋅Grispos, G. and Grispos, G.AMCIS 2017 - America’s Conference on Information Systems: A Tradition of Innovation, vol. 2017-August.
| Conference Proceeding
Understanding de-identification of healthcare big dataVan Devender, M.S.⋅Benton, R.⋅Glisson, W.B. and Grispos, G.
2016
Detection of event onset using TwitterKatragadda, S.⋅Virani, S.⋅Benton, R. and Raghavan, V.Proceedings of the International Joint Conference on Neural Networks, vol. 2016-October, pp. 1539-1546. | Conference Proceeding
2015
-Book chapter-Xie, Ying⋅Johnsten, Tom⋅Raghavan, Vijay V.⋅Benton, Ryan G. and Bush, WilliamIn A Comprehensive Granular Model for Decision Making with Complex. (pp. 33–46). Springer International Publishing. 2015
Detecting adverse drug effects using link classification on twitter dataKatragadda, S.⋅Karnati, H.⋅Pusala, M.⋅Raghavan, V. and Benton, R.Proceedings - 2015 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2015, pp. 675-679. | Conference Proceeding
Exploiting multi-layered vector spaces for signal peptide detection.Johnsten, Tom⋅Fain, Laura⋅Fain, Leanna⋅Benton, Ryan G⋅Butler, Ethan⋅Pannell, Lewis and Tan, MingInternational journal of data mining and bioinformatics, vol. 13, (no. 2), pp. 141-157, 2015.
| Journal Article
Real-time flu monitoring system and decision informaticsHsu, S.⋅Benton, R. and Gottumukkala, R.Proceedings of the Annual Hawaii International Conference on System Sciences, vol. 2015-March, pp. 2794-2803. | Conference Proceeding
2013
Composite kernels for automatic relevance determination in computerized diagnosis of Alzheimer’s diseaseAyhan, M.S.⋅Benton, R.G.⋅Raghavan, V.V. and Choubey, S.2013
Diagnosis and grading of Alzheimer’s disease via automatic classification of FDG-PET scansBenton, R.G.⋅Choubey, S.⋅Clark, D.G.⋅Johnsten, T. and Raghavan, V.V.2013
DynTARM: An in-memory data structure for targeted strong and rare association rule mining over time-varying domainsLavergne, J.⋅Benton, R.⋅Raghavan, V. and Hafez, A.Proceedings - 2013 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2013, vol. 1, pp. 298-306. | Conference Proceeding
Exploitation of 3D stereotactic surface projection for predictive modelling of Alzheimer's disease.
Ayhan, Murat Seckin⋅Benton, Ryan G⋅Raghavan, Vijay V and Choubey, Suresh
International journal of data mining and bioinformatics, vol. 7, (no. 2), pp. 146-165, 2013. | Journal Article
Representations for large-scale sequence data mining: A tale of two vector space modelsRaghavan, V.V.⋅Benton, R.G.⋅Johnsten, T. and Xie, Y.2013
Targeted action rule discoveryJohnsten, T.⋅Alihamad, S.⋅Kannalath, A. and Benton, R.G.Proceedings - 2013 12th International Conference on Machine Learning and Applications, ICMLA 2013, vol. 1, pp. 348-353. | Conference Proceeding
2012
Min-max itemset trees for dense and categorical datasetsLavergne, J.⋅Benton, R. and Raghavan, V.V.2012
TRARM-RelSup: Targeted rare association rule mining using itemset trees and the relative support measureLavergne, J.⋅Benton, R. and Raghavan, V.V.2012