Ryan G. Benton

According to our database, Ryan G. Benton authored at least 64 papers between 1995 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Designing for diversity: Dynamic persuasive strategies in mHealth app development.

Aleise H. McGowan, Scott M. Sittig, Ryan G. Benton, David M. Bourrie, M. Sriram Iyengar, Aysu Dalogullari

Proceedings of the 12th International Workshop on Behavior Change Support Systems (BCSS 2024), 2024

2022

Computational framework for generating synthetic signal peptides.

Tom Johnsten, Aishwarya Prakash, Grant T. Daly, Ryan G. Benton, Tristan Clark

Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022

2021

Near-Real-Time IDS for the U.S. FAA's NextGen ADS-B.

Dustin Mink, Jeffrey Todd McDonald, Sikha Bagui, William Bradley Glisson, Jordan Shropshire, Ryan Benton, Samuel H. Russ

Big Data Cogn. Comput., 2021

Insight from a Containerized Kubernetes Workload Introspection.

Thomas Watts, Ryan Benton, Jordan Shropshire, David Bourrie

Proceedings of the 54th Hawaii International Conference on System Sciences, 2021

Machine Learning-Based Android Malware Detection Using Manifest Permissions.

Jeffrey Todd McDonald, Nathan Herron, William Bradley Glisson, Ryan Benton

Proceedings of the 54th Hawaii International Conference on System Sciences, 2021

Deception Detection Using Machine Learning.

Alberto Alejandro Ceballos Delgado, William Bradley Glisson, Narasimha K. Shashidhar, Jeffrey Todd McDonald, George Grispos, Ryan Benton

Proceedings of the 54th Hawaii International Conference on System Sciences, 2021

RARE: Rare Action Rule Exploration.

Blake A. Johns, Ryan G. Benton, Tom Johnsten, David M. Bourrie

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Classifying Android Applications Via System Stats.

Joshua Hightower, William Bradley Glisson, Ryan Benton, Jeffrey Todd McDonald

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Development of a support vector machine learning and smart phone Internet of Things-based architecture for real-time sleep apnea diagnosis.

Bin Ma, Zhaolong Wu, Shengyu Li, Ryan Benton, Dongqi Li, Yulong Huang, Mohan Vamsi Kasukurthi, Jingwei Lin, Glen M. Borchert, Shaobo Tan, Gang Li, Meihong Yang, Jingshan Huang

BMC Medical Informatics Decis. Mak., 2020

A partial encryption algorithm for medical images based on quick response code and reversible data hiding technology.

Jian Li, Zelin Zhang, Shengyu Li, Ryan Benton, Yulong Huang, Mohan Vamsi Kasukurthi, Dongqi Li, Jingwei Lin, Glen M. Borchert, Shaobo Tan, Gang Li, Bin Ma, Meihong Yang, Jingshan Huang

BMC Medical Informatics Decis. Mak., 2020

Big Data Forensics: Hadoop 3.2.0 Reconstruction.

Edward Harshany, Ryan Benton, David Bourrie, William Bradley Glisson

Digit. Investig., 2020

Decision Surfaces of Localized Classifiers.

CScott Brown, Ryan G. Benton

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Container and VM Visualization for Rapid Forensic Analysis.

Jordan Shropshire, Ryan Benton

Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020

TADS: Transformation of Anomalies in Data Streams.

Wyatt Green, Tom Johnsten, Ryan G. Benton

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Dynamic Thresholding Leading to Optimal Inventory Maintenance.

Suresh K. Choubey, Ryan Benton, Tom Johnsten

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Effects of Missing Members on Classifier Ensemble Accuracy.

Alec Austin, Ryan Benton

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

DFS³: automated distributed file system storage state reconstruction.

Edward Harshany, Ryan Benton, David Bourrie, Michael Black, William Bradley Glisson

Proceedings of the ARES 2020: The 15th International Conference on Availability, 2020

2019

Using an artificial neural network to map cancer common data elements to the biomedical research integrated domain group model in a semi-automated manner.

Robinette Renner, Shengyu Li, Yulong Huang, Ada Chaeli van der Zijp-Tan, Shaobo Tan, Dongqi Li, Mohan Vamsi Kasukurthi, Ryan Benton, Glen M. Borchert, Jingshan Huang, Guoqian Jiang

BMC Medical Informatics Decis. Mak., 2019

Muscle fatigue detection and treatment system driven by internet of things.

Bin Ma, Chunxiao Li, Zhaolong Wu, Yulong Huang, Ada Chaeli van der Zijp-Tan, Shaobo Tan, Dongqi Li, Ada Fong, Chandan Basetty, Glen M. Borchert, Ryan Benton, Bin Wu, Jingshan Huang

BMC Medical Informatics Decis. Mak., 2019

Insight from a Docker Container Introspection.

Thomas Watts, Ryan Benton, William Bradley Glisson, Jordan Shropshire

Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019

OINNIONN: outward inward neural network and inward outward neural network evolution.

Aviv Segev, Rituparna Datta, Ryan Benton, Dorothy Curtis

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Discovery of Action Rules for Continuously Valued Data.

Tom Johnsten, Wyatt Green, Lowell Crook, Ho Yin Chan, Ryan G. Benton, David M. Bourrie

Proceedings of the 2019 IEEE First International Conference on Cognitive Machine Intelligence (CogMI), 2019

Enhancing Itemset Tree Rules and Performance.

Jay Lewis, Ryan G. Benton, David Bourrie, Jennifer Lavergne

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Prescriptive Equipment Maintenance: A Framework.

Suresh K. Choubey, Ryan G. Benton, Tom Johnsten

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Use CPET data to predict the intervention effect of aerobic exercise on young hypertensive patients.

Guanyi Yang, Ryan Benton, Glen M. Borchert, Bin Ma, Jingshan Huang, Xiuyu Leng, Fangwan Huang, Mohan Vamsi Kasukurthi, Yulong Huang, Dongqi Li, Jingwei Lin, Shaobo Tan, Guiying Lu

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

A SVM-Based Algorithm to Diagnose Sleep Apnea.

Bin Ma, Shaobo Tan, Meihong Yang, Jingshan Huang, Zhaolong Wu, Shengyu Li, Ryan Benton, Dongqi Li, Yulong Huang, Mohan Vamsi Kasukurthi, Jingwei Lin, Glen M. Borchert

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Reversible Data Hiding Based Key Region Protection Method in Medical Images.

Jian Li, Shaobo Tan, Bin Ma, Meihong Yang, Jingshan Huang, Zelin Zhang, Shengyu Li, Ryan Benton, Yulong Huang, Mohan Vamsi Kasukurthi, Dongqi Li, Jingwei Lin, Glen M. Borchert

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

SURFr: Algorithm for identification and analysis of ncRNA-derived RNAs.

Mohan Vamsi Kasukurthi, Shengyu Li, Glen M. Borchert, Jingshan Huang, Dihua Zhang, Mika Housevera, Yulong Huang, Shaobo Tan, Bin Ma, Dongqi Li, Ryan Benton, Jingwei Lin

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Local Gaussian Process Features for Clinical Sensor Time Series.

CScott Brown, Ryan G. Benton

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

A Deep Learning Approach to Phase-Space Analysis for Seizure Detection.

Patrick Luckett, Thomas Watts, Jeffrey Todd McDonald, Lee M. Hively, Ryan Benton

Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

2018

Identifying stealth malware using CPU power consumption and learning algorithms.

Patrick Luckett, Jeffrey Todd McDonald, William Bradley Glisson, Ryan Benton, Joel A. Dawson, Blair A. Doyle

J. Comput. Secur., 2018

Android Malware Detection Using Step-Size Based Multi-layered Vector Space Models.

Colby Parker, Jeffrey Todd McDonald, Tom Johnsten, Ryan G. Benton

Proceedings of the 13th International Conference on Malicious and Unwanted Software, 2018

A Multi-Objective Evolutionary Action Rule Mining Method.

Grant T. Daly, Ryan Benton, Tom Johnsten

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Mapping Common Data Elements to a Domain Model Using an Artificial Neural Network.

Robinette Renner, Shengyu Li, Yulong Huang, Shaobo Tan, Dongqi Li, Ada Chaeli van der Zijp-Tan, Ryan Benton, Glen M. Borchert, Jingshan Huang, Guoqian Jiang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

On-Device Detection via Anomalous Environmental Factors.

Adam M. Gautier, Todd R. Andel, Ryan Benton

Proceedings of the 8th Software Security, 2018

2017

Manipulating the Five V's in the Next Generation Air Transportation System.

Dustin Mink, William Bradley Glisson, Ryan Benton, Kim-Kwang Raymond Choo

Proceedings of the Security and Privacy in Communication Networks, 2017

Sub-event detection from tweets.

Satya Katragadda, Ryan G. Benton, Vijay V. Raghavan

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Framework for Real-Time Event Detection using Multiple Social Media Sources.

Satya Katragadda, Ryan G. Benton, Vijay V. Raghavan

Proceedings of the 50th Hawaii International Conference on System Sciences, 2017

Online mining for association rules and collective anomalies in data streams.

Shaaban Abbady, Cheng-Yuan Ke, Jennifer Lavergne, Jian Chen, Vijay V. Raghavan, Ryan Benton

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Supervised approach to rank predicted links using interestingness measures.

Murali K. Pusala, Ryan G. Benton, Vijay V. Raghavan, Raju N. Gottumukkala

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Understanding De-identification of Healthcare Big Data.

Maureen Van Devender, William Bradley Glisson, Ryan Benton, George Grispos

Proceedings of the 23rd Americas Conference on Information Systems, 2017

2016

Detection of event onset using Twitter.

Satya Katragadda, Shahid Virani, Ryan G. Benton, Vijay V. Raghavan

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Exploiting multi-layered vector spaces for signal peptide detection.

Tom Johnsten, Laura Fain, Leanna Fain, Ryan G. Benton, Ethan Butler, Lewis Pannell, Ming Tan

Int. J. Data Min. Bioinform., 2015

Real-Time Flu Monitoring System and Decision Informatics.

Sonya H. Y. Hsu, Ryan Benton, Raju N. Gottumukkala

Proceedings of the 48th Hawaii International Conference on System Sciences, 2015

Detecting adverse drug effects using link classification on twitter data.

Satya Katragadda, Harika Karnati, Murali Pusala, Vijay V. Raghavan, Ryan G. Benton

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2013

Exploitation of 3D stereotactic surface projection for predictive modelling of Alzheimer's disease.

Murat Seckin Ayhan, Ryan G. Benton, Vijay V. Raghavan, Suresh K. Choubey

Int. J. Data Min. Bioinform., 2013

DynTARM: An In-Memory Data Structure for Targeted Strong and Rare Association Rule Mining over Time-Varying Domains.

Jennifer Lavergne, Ryan G. Benton, Vijay V. Raghavan, Alaaeldin M. Hafez

Proceedings of the 2013 IEEE/WIC/ACM International Conferences on Web Intelligence, 2013

Representations for Large-Scale Sequence Data Mining: A Tale of Two Vector Space Models.

Vijay V. Raghavan, Ryan G. Benton, Tom Johnsten, Ying Xie

Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2013

Targeted Action Rule Discovery.

Tom Johnsten, Samy Alihamad, Ashwin Kannalath, Ryan G. Benton

Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

Diagnosis and Grading of Alzheimer's Disease via Automatic Classification of FDG-PET Scans.

Ryan G. Benton, Suresh K. Choubey, David G. Clark, Tom Johnsten, Vijay V. Raghavan

Proceedings of the Brain and Health Informatics - International Conference, 2013

Composite Kernels for Automatic Relevance Determination in Computerized Diagnosis of Alzheimer's Disease.

Murat Seckin Ayhan, Ryan G. Benton, Vijay V. Raghavan, Suresh K. Choubey

Proceedings of the Brain and Health Informatics - International Conference, 2013

2012

TRARM-RelSup: Targeted Rare Association Rule Mining Using Itemset Trees and the Relative Support Measure.

Jennifer Lavergne, Ryan G. Benton, Vijay V. Raghavan

Proceedings of the Foundations of Intelligent Systems - 20th International Symposium, 2012

Min-Max Itemset Trees for Dense and Categorical Datasets.

Jennifer Lavergne, Ryan G. Benton, Vijay V. Raghavan

Proceedings of the Foundations of Intelligent Systems - 20th International Symposium, 2012

Utilization of domain-knowledge for simplicity and comprehensibility in predictive modeling of Alzheimer's disease.

Murat Seckin Ayhan, Ryan G. Benton, Vijay V. Raghavan, Suresh K. Choubey

Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2012

2011

FAARM: Frequent Association Action Rules Mining Using FP-Tree.

Djellel Eddine Difallah, Ryan G. Benton, Vijay V. Raghavan, Tom Johnsten

Proceedings of the Data Mining Workshops (ICDMW), 2011

Multi-layered Vector Spaces for Classifying and Analyzing Biological Sequences.

Can Akkoç, Tom Johnsten, Ryan G. Benton

Proceedings of the ISCA 3rd International Conference on Bioinformatics and Computational Biology, 2011

2010

Data Fusion and Feature Selection for Alzheimer's Diagnosis.

Blake Lemoine, Sara Rayburn, Ryan G. Benton

Proceedings of the Brain Informatics, International Conference, 2010

Exploitation of 3D Stereotactic Surface Projection for automated classification of Alzheimer's disease according to dementia levels.

Murat Seckin Ayhan, Ryan G. Benton, Vijay V. Raghavan, Suresh K. Choubey

Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

2007

Procedural generation of stylized 2D maps.

Mores Prachyabrued, Timothy Roden, Ryan G. Benton

Proceedings of the International Conference on Advances in Computer Entertainment Technology, 2007

2006

Camera Pose Estimation by an Artificial Neural Network.

Ryan Gene Benton, Chee-Hung Henry Chu

Proceedings of the Neural Information Processing, 13th International Conference, 2006

2005

Soft computing approach to steganalysis of LSB embedding in digital images.

Ryan G. Benton, Henry Chu

Proceedings of the ITRE 2005, 2005

2004

Estimating Size of Search Engines in an Uncooperative Environment.

Surendra Karnatapu, Karthik Ramachandran, Zonghuan Wu, Biren Shah, Vijay V. Raghavan, Ryan G. Benton

Proceedings of the 2nd International Workshop on Web-based Support Systems, 2004

2000

Meta-classifiers and Selective Superiority.

Ryan G. Benton, Miroslav Kubat, Rasiah Loganantharaj

Proceedings of the Intelligent Problem Solving, 2000

1995

Using genetic algorithms to improve interpretation of satellite data.

Ryan Gene Benton

Proceedings of the 33th Annual Southeast Regional Conference, 1995