Ryan G. Benton

Vijay V. Raghavan, Alaaeldin M. Hafez, Ryan G. Benton, 2013, 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT).

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

Vijay V. Raghavan, Ryan G. Benton, Murat Seckin Ayhan, 2010, 2010 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Enhancing Itemset Tree Rules and Performance

Ryan G. Benton, David M. Bourrie, Jennifer Lavergne, 2019, 2019 IEEE International Conference on Big Data (Big Data).

Exploiting multi-layered vector spaces for signal peptide detection

Tom Johnsten, Ming Tan, Ryan G. Benton, 2015, Int. J. Data Min. Bioinform..

Using genetic algorithms to improve interpretation of satellite data

Ryan G. Benton, 1995, ACM-SE 33.

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

Vijay V. Raghavan, Suresh K. Choubey, Murat Seckin Ayhan, 2013, Int. J. Data Min. Bioinform..

Non-PC Reviewers

Noriaki Izumi, Xiaohua Hu, Vasa Curcin, 2005, ICDM.

Sub-event detection from tweets

Vijay V. Raghavan, Satya Katragadda, Ryan G. Benton, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

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

Vijay V. Raghavan, Suresh K. Choubey, Murat Seckin Ayhan, 2013, Brain and Health Informatics.

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

Vijay V. Raghavan, Suresh K. Choubey, Ryan G. Benton, 2012, 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops.

Supervised approach to rank predicted links using interestingness measures

Vijay V. Raghavan, Raju N. Gottumukkala, Ryan G. Benton, 2017, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Discovery of Action Rules for Continuously Valued Data

Ricky Ho Yin Chan, Tom Johnsten, Ryan G. Benton, 2019, 2019 IEEE First International Conference on Cognitive Machine Intelligence (CogMI).

Meta-classifiers and Selective Superiority

Rasiah Loganantharaj, Miroslav Kubat, Ryan G. Benton, 2000, IEA/AIE.

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

Tom Johnsten, Jeffrey Todd McDonald, Ryan G. Benton, 2018, 2018 13th International Conference on Malicious and Unwanted Software (MALWARE).

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

Vijay V. Raghavan, Suresh K. Choubey, Tom Johnsten, 2013, Brain and Health Informatics.

Data Fusion and Feature Selection for Alzheimer's Diagnosis

Blake Lemoine, Ryan G. Benton, Sara Rayburn, 2010, Brain Informatics.

Automatic and Semi-Automatic Techniques for Image Annotation

Vijay V. Raghavan, Zonghuan Wu, Biren Shah, 2007 .

Weighted feature projection in instance-based classifiers

Miroslav Kubat, Ryan G. Benton, 2001 .

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

Vijay V. Raghavan, Satya Katragadda, Ryan G. Benton, 2017, HICSS.

Estimating Size of Search Engines in an Uncooperative Environment

Vijay V. Raghavan, Karthik Ramachandran, Zonghuan Wu, 2004, Workshop on Web-based Support Systems.

Detecting adverse drug effects using link classification on twitter data

Vijay V. Raghavan, Satya Katragadda, Ryan G. Benton, 2015, 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Soft computing approach to steganalysis of LSB embedding in digital images

Henry Chu, Ryan G. Benton, 2005, ITRE 2005. 3rd International Conference on Information Technology: Research and Education, 2005..

Targeted Action Rule Discovery

Tom Johnsten, Ryan G. Benton, Samy Alihamad, 2013, 2013 12th International Conference on Machine Learning and Applications.

Utilizing Machine Learning Techniques to Predict the Efficacy of Aerobic Exercise Intervention on Young Hypertensive Patients Based on Cardiopulmonary Exercise Testing

Ryan G. Benton, G. Borchert, Jingshan Huang, 2021, Journal of healthcare engineering.

Computational framework for generating synthetic signal peptides

Ryan G. Benton, T. Johnsten, A. Prakash, 2022, BCB.

A Method for Computationally Constructing Eukaryotic Synthetic Signal Peptide Sequences

Ryan G. Benton, T. Johnsten, A. Prakash, 2021, bioRxiv.

Container and VM Visualization for Rapid Forensic Analysis

Jordan Shropshire, Ryan Benton, Ryan G. Benton, 2020, Hawaii International Conference on System Sciences.

The Intersection of Persuasive System Design and Personalization in Mobile Health: Statistical Evaluation

Ryan G. Benton, David M. Bourrie, Aleise H. McGowan, 2022, JMIR mHealth and uHealth.

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

Bin Ma, Ryan G. Benton, Mohan Vamsi Kasukurthi, 2019, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

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

Bin Ma, Ryan G. Benton, Mohan Vamsi Kasukurthi, 2019, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

A metabolomic endotype of bioenergetic dysfunction predicts mortality in critically ill patients with acute respiratory failure

Ryan G. Benton, L. Purcell, J. Lovato, 2021, Scientific Reports.

A SVM-Based Algorithm to Diagnose Sleep Apnea

Meihong Yang, Bin Ma, Ryan G. Benton, 2019, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

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

Rituparna Datta, Aviv Segev, Ryan Benton, 2019, GECCO.

Prescriptive Equipment Maintenance: A Framework

Suresh K. Choubey, Tom Johnsten, Ryan G. Benton, 2019, 2019 IEEE International Conference on Big Data (Big Data).

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

Ryan Benton, Ryan G. Benton, Patrick Luckett, 2019, BCB.

Muscle fatigue detection and treatment system driven by internet of things

Bin Wu, Bin Ma, Ryan Benton, 2019, BMC Medical Informatics and Decision Making.

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

Shengyu Li, Guoqian Jiang, Ryan Benton, 2019, BMC Medical Informatics and Decision Making.

Decision Surfaces of Localized Classifiers

CScott Brown, Ryan G Benton, Ryan G. Benton, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Online mining for association rules and collective anomalies in data streams

Vijay V. Raghavan, Jian Chen, Ryan Benton, 2017, 2017 IEEE International Conference on Big Data (Big Data).

Effective Removal of Noisy Data Via Batch Effect Processing.

Ryan G Benton, Ryan G. Benton, 2017, Methods in molecular biology.

Machine Learning Techniques in Exploring MicroRNA Gene Discovery, Targets, and Functions.

Ashutosh Kumar Singh, Anurag Singh, Ryan G Benton, 2017, Methods in molecular biology.

The Intersection of Persuasive System Design and Personalization in Mobile Health: Statistical Evaluation

Ryan G. Benton, David M. Bourrie, Aleise H. McGowan, 2022, JMIR mHealth and uHealth.

TADS: Transformation of Anomalies in Data Streams

Ryan G. Benton, T. Johnsten, W. Green, 2020, 2020 IEEE International Conference on Big Data (Big Data).

On-Device Detection via Anomalous Environmental Factors

Todd R. Andel, Ryan Benton, Ryan G. Benton, 2018, SSPREW@ACSAC.

Identifying stealth malware using CPU power consumption and learning algorithms

William Bradley Glisson, Jeffrey Todd McDonald, Ryan Benton, 2018, J. Comput. Secur..

A Holistic End-to-End Prescriptive Maintenance Framework

Suresh K. Choubey, Ryan G. Benton, T. Johnsten, 2021 .

Adaptive wavelet transforms of singular and chaotic signals

Ryan G. Benton, Ryan Benton, Afshin Ganjoo, 1996, Defense + Commercial Sensing.

A Multi-Objective Evolutionary Action Rule Mining Method

Tom Johnsten, Ryan Benton, Ryan G. Benton, 2018, 2018 IEEE Congress on Evolutionary Computation (CEC).