Tom Johnsten

26 papers B 5Misc 3Journal 2Unranked 16
YearRankTypeTitle / Venue / Authors
2022 — conf
Computational framework for generating synthetic signal peptides.
BCB
Tom Johnsten, Aishwarya Prakash, Grant T. Daly, Ryan G. Benton, Tristan Clark
2021 — conf
Precise Weather Parameter Predictions for Target Regions via Neural Networks.
ECML/PKDD (5)
Yihe Zhang, Xu Yuan, Sytske K. Kimball, Eric Rappin, Li Chen, Paul J. Darby III, Tom Johnsten, Lu Peng, Boisy Pitre, David Bourrie, Nian-Feng Tzeng
2021 — conf
RARE: Rare Action Rule Exploration.
IEEE BigData
Blake A. Johns, Ryan G. Benton, Tom Johnsten, David M. Bourrie
2020 — conf
Dynamic Thresholding Leading to Optimal Inventory Maintenance.
IEEE BigData
Suresh K. Choubey, Ryan Benton, Tom Johnsten
2020 — conf
TADS: Transformation of Anomalies in Data Streams.
IEEE BigData
Wyatt Green, Tom Johnsten, Ryan G. Benton
2020 — conf
Towards Poisoning the Neural Collaborative Filtering-Based Recommender Systems.
ESORICS (1)
Yihe Zhang, Jiadong Lou, Li Chen, Xu Yuan, Jin Li, Tom Johnsten, Nian-Feng Tzeng
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
Prescriptive Equipment Maintenance: A Framework.
IEEE BigData
Suresh K. Choubey, Ryan G. Benton, Tom Johnsten
2018 B conf
A Multi-Objective Evolutionary Action Rule Mining Method.
CEC
Grant T. Daly, Ryan 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
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
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
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 — conf
Granular Approach for Protein Sequence Analysis.
RSCTC
Ying Xie, Jonathan Fisher, Vijay V. Raghavan, Tom Johnsten, Can Akkoç
2011 — conf
A Threat Tree for Health Information Security and Privacy.
AMCIS
Jeffrey P. Landry, John Harold Pardue, Tom Johnsten, Matt Campbell, Priya Patidar
2011 J jnl
Algorithms for discovering potentially interesting patterns.
Int. J. Granul. Comput. Rough Sets Intell. Syst.
Raj Singh, Tom Johnsten, Vijay V. Raghavan, Ying Xie
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 Misc conf
Efficient Algorithm for Discovering Potential Interesting Patterns with Closed Itemsets.
GrC
Raj Singh, Tom Johnsten, Vijay V. Raghavan, Ying Xie
2009 Misc conf
An efficient algorithm for discovering positive and negative patterns.
GrC
Raj Singh, Tom Johnsten, Vijay V. Raghavan, Ying Xie
2006 Misc conf
On discovering "potentially useful" patterns from databases.
GrC
Ying Xie, Tom Johnsten, Vijay V. Raghavan, Karthik Ramachandran
2003 B conf
A Methodology for Hiding Knowledge in XML Document Collections.
COMPSAC
Tom Johnsten, Robert B. Sweeney, Vijay V. Raghavan
2002 B conf
On Security and Privacy Risks in Association Mining Algorithms.
DBSec
Tom Johnsten, Vijay V. Raghavan, Kevin Hill
2001 B conf
Security Procedures for Classification Mining Algorithms.
DBSec
Tom Johnsten, Vijay V. Raghavan
1999 B conf
Impact of Decision-Region Based Classification Mining Algorithms on Database Security.
DBSec
Tom Johnsten, Vijay V. Raghavan