Ryan G. Benton

Publication Activity (10 Years)

Years Active: 2000-2022
Publications (10 Years): 15

Top Topics

Interestingness Measures

Event Detection

Top Venues

Brain and Health Informatics

Publications

Tom Johnsten, Aishwarya Prakash, Grant T. Daly, Ryan G. Benton, Tristan Clark
Computational framework for generating synthetic signal peptides. BCB (2022)
Blake A. Johns, Ryan G. Benton, Tom Johnsten, David M. Bourrie
RARE: Rare Action Rule Exploration. IEEE BigData (2021)
Wyatt Green, Tom Johnsten, Ryan G. Benton
TADS: Transformation of Anomalies in Data Streams. IEEE BigData (2020)
CScott Brown, Ryan G. Benton
Decision Surfaces of Localized Classifiers. IJCNN (2020)
Suresh K. Choubey, Ryan G. Benton, Tom Johnsten
Prescriptive Equipment Maintenance: A Framework. IEEE BigData (2019)
Tom Johnsten, Wyatt Green, Lowell Crook, Ho Yin Chan, Ryan G. Benton, David M. Bourrie
Discovery of Action Rules for Continuously Valued Data. CogMI (2019)
Jay Lewis, Ryan G. Benton, David Bourrie, Jennifer Lavergne
Enhancing Itemset Tree Rules and Performance. IEEE BigData (2019)
CScott Brown, Ryan G. Benton
Local Gaussian Process Features for Clinical Sensor Time Series. BIBM (2019)
Colby Parker, Jeffrey Todd McDonald, Tom Johnsten, Ryan G. Benton
Android Malware Detection Using Step-Size Based Multi-layered Vector Space Models. MALWARE (2018)
Murali K. Pusala, Ryan G. Benton, Vijay V. Raghavan, Raju N. Gottumukkala
Supervised approach to rank predicted links using interestingness measures. BIBM (2017)
Satya Katragadda, Ryan G. Benton, Vijay V. Raghavan
Framework for Real-Time Event Detection using Multiple Social Media Sources. HICSS (2017)
Satya Katragadda, Ryan G. Benton, Vijay V. Raghavan
Sub-event detection from tweets. IJCNN (2017)
Satya Katragadda, Shahid Virani, Ryan G. Benton, Vijay V. Raghavan
Detection of event onset using Twitter. IJCNN (2016)
Tom Johnsten, Laura Fain, Leanna Fain, Ryan G. Benton, Ethan Butler, Lewis Pannell, Ming Tan
Exploiting multi-layered vector spaces for signal peptide detection. Int. J. Data Min. Bioinform. 13 (2) (2015)
Satya Katragadda, Harika Karnati, Murali Pusala, Vijay V. Raghavan, Ryan G. Benton
Detecting adverse drug effects using link classification on twitter data. BIBM (2015)
Jennifer Lavergne, Ryan G. Benton, Vijay V. Raghavan, Alaaeldin M. Hafez
DynTARM: An In-Memory Data Structure for Targeted Strong and Rare Association Rule Mining over Time-Varying Domains. Web Intelligence (2013)
Murat Seckin Ayhan, Ryan G. Benton, Vijay V. Raghavan, Suresh K. Choubey
Composite Kernels for Automatic Relevance Determination in Computerized Diagnosis of Alzheimer's Disease. Brain and Health Informatics (2013)
Tom Johnsten, Samy Alihamad, Ashwin Kannalath, Ryan G. Benton
Targeted Action Rule Discovery. ICMLA (1) (2013)
Vijay V. Raghavan, Ryan G. Benton, Tom Johnsten, Ying Xie
Representations for Large-Scale Sequence Data Mining: A Tale of Two Vector Space Models. RSFDGrC (2013)
Murat Seckin Ayhan, Ryan G. Benton, Vijay V. Raghavan, Suresh K. Choubey
Exploitation of 3D stereotactic surface projection for predictive modelling of Alzheimer's disease. Int. J. Data Min. Bioinform. 7 (2) (2013)
Ryan G. Benton, Suresh K. Choubey, David G. Clark, Tom Johnsten, Vijay V. Raghavan
Diagnosis and Grading of Alzheimer's Disease via Automatic Classification of FDG-PET Scans. Brain and Health Informatics (2013)
Jennifer Lavergne, Ryan G. Benton, Vijay V. Raghavan
TRARM-RelSup: Targeted Rare Association Rule Mining Using Itemset Trees and the Relative Support Measure. ISMIS (2012)
Jennifer Lavergne, Ryan G. Benton, Vijay V. Raghavan
Min-Max Itemset Trees for Dense and Categorical Datasets. ISMIS (2012)
Murat Seckin Ayhan, Ryan G. Benton, Vijay V. Raghavan, Suresh K. Choubey
Utilization of domain-knowledge for simplicity and comprehensibility in predictive modeling of Alzheimer's disease. BIBM Workshops (2012)
Can Akkoç, Tom Johnsten, Ryan G. Benton
Multi-layered Vector Spaces for Classifying and Analyzing Biological Sequences. BICoB (2011)
Djellel Eddine Difallah, Ryan G. Benton, Vijay V. Raghavan, Tom Johnsten
FAARM: Frequent Association Action Rules Mining Using FP-Tree. ICDM Workshops (2011)
Murat Seckin Ayhan, Ryan G. Benton, Vijay V. Raghavan, Suresh K. Choubey
Exploitation of 3D Stereotactic Surface Projection for automated classification of Alzheimer's disease according to dementia levels. BIBM (2010)
Blake Lemoine, Sara Rayburn, Ryan G. Benton
Data Fusion and Feature Selection for Alzheimer's Diagnosis. Brain Informatics (2010)
Mores Prachyabrued, Timothy Roden, Ryan G. Benton
Procedural generation of stylized 2D maps. Advances in Computer Entertainment Technology (2007)
Ryan G. Benton, Henry Chu
Soft computing approach to steganalysis of LSB embedding in digital images. ITRE (2005)
Surendra Karnatapu, Karthik Ramachandran, Zonghuan Wu, Biren Shah, Vijay V. Raghavan, Ryan G. Benton
Estimating Size of Search Engines in an Uncooperative Environment. Workshop on Web-based Support Systems (2004)
Ryan G. Benton, Miroslav Kubat, Rasiah Loganantharaj
Meta-classifiers and Selective Superiority. IEA/AIE (2000)