92 Publications (Page 3 of 4)
2018
Image Segmentation Stability: An Empirical Investigation
Brown, C.S.Brown, C ScottBradley Glisson, W.Glisson, William BradleyBenton, R.Benton, RyanShropshire, JordanShropshire, J.Watts, ThomasWatts, T.Sullivan, T. and Sullivan, Timothy
Conference Proceedings - IEEE SOUTHEASTCON, vol. 2018-April. | Conference Proceeding
 
Manipulating the five V?s in the next generation air transportation system
Mink, 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 Factors
Gautier, Adam M.Andel, Todd R. and Benton, Ryan
ACM 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 sources
Katragadda, S.Benton, R. and Raghavan, V.
(pp. 1716-1725)
 
Framework for Real-Time Event Detection using Multiple Social Media Sources
Satya Katragadda, Ryan Benton and Raghavan, Vijay
Hawaii International Conference on System Sciences. | Conference Proceeding
 
Machine Learning Techniques in Exploring MicroRNA Gene Discovery, Targets, and Functions.
Singh, SumiBenton, Ryan GSingh, 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 streams
Abbady, 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 tweets
Katragadda, 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 measures
Pusala, 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 data
Van 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 data
Van Devender, M.S.Benton, R.Glisson, W.B. and Grispos, G.
2016
Detection of event onset using Twitter
Katragadda, 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, YingJohnsten, TomRaghavan, Vijay V.Benton, Ryan G. and Bush, William
In 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 data
Katragadda, 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, TomFain, LauraFain, LeannaBenton, Ryan GButler, EthanPannell, Lewis and Tan, Ming
International journal of data mining and bioinformatics, vol. 13, (no. 2), pp. 141-157, 2015. | Journal Article
 
Real-time flu monitoring system and decision informatics
Hsu, 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 disease
Ayhan, 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 scans
Benton, 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 domains
Lavergne, 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 SeckinBenton, Ryan GRaghavan, 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 models
Raghavan, V.V.Benton, R.G.Johnsten, T. and Xie, Y.
2013
 
Targeted action rule discovery
Johnsten, 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 datasets
Lavergne, J.Benton, R. and Raghavan, V.V.
2012
 
TRARM-RelSup: Targeted rare association rule mining using itemset trees and the relative support measure
Lavergne, J.Benton, R. and Raghavan, V.V.
2012