Tom Johnsten

According to our database, Tom Johnsten authored at least 26 papers between 1999 and 2022.

Collaborative distances:

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

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

Precise Weather Parameter Predictions for Target Regions via Neural Networks.

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

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 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

2020

Towards Poisoning the Neural Collaborative Filtering-Based Recommender Systems.

Yihe Zhang, Jiadong Lou, Li Chen, Xu Yuan, Jin Li, Tom Johnsten, Nian-Feng Tzeng

Proceedings of the Computer Security - ESORICS 2020, 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

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

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

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

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

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

2012

Granular Approach for Protein Sequence Analysis.

Ying Xie, Jonathan Fisher, Vijay V. Raghavan, Tom Johnsten, Can Akkoç

Proceedings of the Rough Sets and Current Trends in Computing, 2012

2011

Algorithms for discovering potentially interesting patterns.

Raj Singh, Tom Johnsten, Vijay V. Raghavan, Ying Xie

Int. J. Granul. Comput. Rough Sets Intell. Syst., 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

A Threat Tree for Health Information Security and Privacy.

Jeffrey P. Landry, John Harold Pardue, Tom Johnsten, Matt Campbell, Priya Patidar

Proceedings of the A Renaissance of Information Technology for Sustainability and Global Competitiveness. 17th Americas Conference on Information Systems, 2011

2010

Efficient Algorithm for Discovering Potential Interesting Patterns with Closed Itemsets.

Raj Singh, Tom Johnsten, Vijay V. Raghavan, Ying Xie

Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010

2009

An efficient algorithm for discovering positive and negative patterns.

Raj Singh, Tom Johnsten, Vijay V. Raghavan, Ying Xie

Proceedings of the 2009 IEEE International Conference on Granular Computing, 2009

2006

On discovering "potentially useful" patterns from databases.

Ying Xie, Tom Johnsten, Vijay V. Raghavan, Karthik Ramachandran

Proceedings of the 2006 IEEE International Conference on Granular Computing, 2006

2003

A Methodology for Hiding Knowledge in XML Document Collections.

Tom Johnsten, Robert B. Sweeney, Vijay V. Raghavan

Proceedings of the 27th International Computer Software and Applications Conference (COMPSAC 2003): Design and Assessment of Trustworthy Software-Based Systems, 2003

2002

On Security and Privacy Risks in Association Mining Algorithms.

Tom Johnsten, Vijay V. Raghavan, Kevin Hill

Proceedings of the Research Directions in Data and Applications Security, 2002

2001

Security Procedures for Classification Mining Algorithms.

Tom Johnsten, Vijay V. Raghavan

Proceedings of the Database and Application Security XV, 2001

1999

Impact of Decision-Region Based Classification Mining Algorithms on Database Security.

Tom Johnsten, Vijay V. Raghavan

Proceedings of the Research Advances in Database and Information Systems Security, 1999