Ryan G. Benton

34 papers B 4C 3Journal 2Unranked 25

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Designing for diversity: Dynamic persuasive strategies in mHealth app development. BCSS Aleise H. McGowan, Scott M. Sittig, Ryan G. Benton, David M. Bourrie, M. Sriram Iyengar, Aysu Dalogullari
2024	B	`conf`	The Evaluation of Extracted Features for Detecting Eclipse Attacks on Ethereum Network Layers. IEEE Big Data Dhanasak Bhumichai, Ryan G. Benton
2022	—	`conf`	Computational framework for generating synthetic signal peptides. BCB Tom Johnsten, Aishwarya Prakash, Grant T. Daly, Ryan G. Benton, Tristan Clark
2021	—	`conf`	RARE: Rare Action Rule Exploration. IEEE BigData Blake A. Johns, Ryan G. Benton, Tom Johnsten, David M. Bourrie
2020	B	`conf`	Decision Surfaces of Localized Classifiers. IJCNN CScott Brown, Ryan G. Benton
2020	—	`conf`	TADS: Transformation of Anomalies in Data Streams. IEEE BigData Wyatt Green, Tom Johnsten, Ryan G. Benton
2019	—	`conf`	Discovery of Action Rules for Continuously Valued Data. CogMI Tom Johnsten, Wyatt Green, Lowell Crook, Ho Yin Chan, Ryan G. Benton, David M. Bourrie
2019	—	`conf`	Enhancing Itemset Tree Rules and Performance. IEEE BigData Jay Lewis, Ryan G. Benton, David Bourrie, Jennifer Lavergne
2019	—	`conf`	Local Gaussian Process Features for Clinical Sensor Time Series. BIBM CScott Brown, Ryan G. Benton
2019	—	`conf`	Prescriptive Equipment Maintenance: A Framework. IEEE BigData Suresh K. Choubey, Ryan G. Benton, Tom Johnsten
2018	—	`conf`	Android Malware Detection Using Step-Size Based Multi-layered Vector Space Models. MALWARE Colby Parker, Jeffrey Todd McDonald, Tom Johnsten, Ryan G. Benton
2017	—	`conf`	Framework for Real-Time Event Detection using Multiple Social Media Sources. HICSS Satya Katragadda, Ryan G. Benton, Vijay V. Raghavan
2017	B	`conf`	Sub-event detection from tweets. IJCNN Satya Katragadda, Ryan G. Benton, Vijay V. Raghavan
2017	—	`conf`	Supervised approach to rank predicted links using interestingness measures. BIBM Murali K. Pusala, Ryan G. Benton, Vijay V. Raghavan, Raju N. Gottumukkala
2016	B	`conf`	Detection of event onset using Twitter. IJCNN Satya Katragadda, Shahid Virani, Ryan G. Benton, Vijay V. Raghavan
2015	—	`conf`	Detecting adverse drug effects using link classification on twitter data. BIBM Satya Katragadda, Harika Karnati, Murali Pusala, Vijay V. Raghavan, Ryan G. Benton
2015	J	`jnl`	Exploiting multi-layered vector spaces for signal peptide detection. Int. J. Data Min. Bioinform. Tom Johnsten, Laura Fain, Leanna Fain, Ryan G. Benton, Ethan Butler, Lewis Pannell, Ming Tan
2013	—	`conf`	Composite Kernels for Automatic Relevance Determination in Computerized Diagnosis of Alzheimer's Disease. Brain and Health Informatics Murat Seckin Ayhan, Ryan G. Benton, Vijay V. Raghavan, Suresh K. Choubey
2013	—	`conf`	Diagnosis and Grading of Alzheimer's Disease via Automatic Classification of FDG-PET Scans. Brain and Health Informatics Ryan G. Benton, Suresh K. Choubey, David G. Clark, Tom Johnsten, Vijay V. Raghavan
2013	—	`conf`	DynTARM: An In-Memory Data Structure for Targeted Strong and Rare Association Rule Mining over Time-Varying Domains. Web Intelligence Jennifer Lavergne, Ryan G. Benton, Vijay V. Raghavan, Alaaeldin M. Hafez
2013	J	`jnl`	Exploitation of 3D stereotactic surface projection for predictive modelling of Alzheimer's disease. Int. J. Data Min. Bioinform. Murat Seckin Ayhan, Ryan G. Benton, Vijay V. Raghavan, Suresh K. Choubey
2013	—	`conf`	Representations for Large-Scale Sequence Data Mining: A Tale of Two Vector Space Models. RSFDGrC Vijay V. Raghavan, Ryan G. Benton, Tom Johnsten, Ying Xie
2013	—	`conf`	Targeted Action Rule Discovery. ICMLA (1) Tom Johnsten, Samy Alihamad, Ashwin Kannalath, Ryan G. Benton
2012	C	`conf`	Min-Max Itemset Trees for Dense and Categorical Datasets. ISMIS Jennifer Lavergne, Ryan G. Benton, Vijay V. Raghavan
2012	C	`conf`	TRARM-RelSup: Targeted Rare Association Rule Mining Using Itemset Trees and the Relative Support Measure. ISMIS Jennifer Lavergne, Ryan G. Benton, Vijay V. Raghavan
2012	—	`conf`	Utilization of domain-knowledge for simplicity and comprehensibility in predictive modeling of Alzheimer's disease. BIBM Workshops Murat Seckin Ayhan, Ryan G. Benton, Vijay V. Raghavan, Suresh K. Choubey
2011	—	`conf`	FAARM: Frequent Association Action Rules Mining Using FP-Tree. ICDM Workshops Djellel Eddine Difallah, Ryan G. Benton, Vijay V. Raghavan, Tom Johnsten
2011	—	`conf`	Multi-layered Vector Spaces for Classifying and Analyzing Biological Sequences. BICoB Can Akkoç, Tom Johnsten, Ryan G. Benton
2010	—	`conf`	Data Fusion and Feature Selection for Alzheimer's Diagnosis. Brain Informatics Blake Lemoine, Sara Rayburn, Ryan G. Benton
2010	—	`conf`	Exploitation of 3D Stereotactic Surface Projection for automated classification of Alzheimer's disease according to dementia levels. BIBM Murat Seckin Ayhan, Ryan G. Benton, Vijay V. Raghavan, Suresh K. Choubey
2007	—	`conf`	Procedural generation of stylized 2D maps. Advances in Computer Entertainment Technology Mores Prachyabrued, Timothy Roden, Ryan G. Benton
2005	—	`conf`	Soft computing approach to steganalysis of LSB embedding in digital images. ITRE Ryan G. Benton, Henry Chu
2004	—	`conf`	Estimating Size of Search Engines in an Uncooperative Environment. Workshop on Web-based Support Systems Surendra Karnatapu, Karthik Ramachandran, Zonghuan Wu, Biren Shah, Vijay V. Raghavan, Ryan G. Benton
2000	C	`conf`	Meta-classifiers and Selective Superiority. IEA/AIE Ryan G. Benton, Miroslav Kubat, Rasiah Loganantharaj