Christopher T. Symons

发表

Architecture-level dependability analysis of a medical decision support system

Laura L. Pullum, Robert M. Patton, Christopher T. Symons, 2010, SEHC '10.

A learning system for discriminating variants of malicious network traffic

Justin M. Beaver, Christopher T. Symons, Rob Gillen, 2013, CSIIRW '13.

Bias Selection Using Task-Targeted Random Subspaces for Robust Application of Graph-Based Semi-supervised Learning

Itamar Arel, Goo Jun, Ranga Raju Vatsavai, 2012, 2012 11th International Conference on Machine Learning and Applications.

A New Approach and Faster Exact Methods for the Maximum Common Subgraph Problem

Nagiza F. Samatova, Yun Zhang, Faisal N. Abu-Khzam, 2005, COCOON.

Failure Analysis of a Complex Learning Framework Incorporating Multi-modal and Semi-supervised Learning

Laura L. Pullum, Christopher T. Symons, L. Pullum, 2011, 2011 IEEE 17th Pacific Rim International Symposium on Dependable Computing.

Information Extraction from Unstructured Text for the Biodefense Knowledge Center

Nagiza F. Samatova, David Buttler, Byung-Hoon Park, 2005 .

Kernelization Algorithms for the Vertex Cover Problem: Theory and Experiments

Michael R. Fellows, Faisal N. Abu-Khzam, Michael A. Langston, 2004, ALENEX/ANALC.

Knowledge Discovery, Knowledge Management and Enterprise-Wide Information Technology Tools Final Report

Robert M. Patton, Bryan L. Gorman, Christopher T. Symons, 2012 .

Multi-View Budgeted Learning under Label and Feature Constraints Using Label-Guided Graph-Based Regularization

Itamar Arel, Christopher T. Symons, Bethel Valley, 2011 .

Massively scalable near duplicate detection in streams of documents using MDSH

Robert M. Patton, Paul Logasa Bogen, Christopher T. Symons, 2013, 2013 IEEE International Conference on Big Data.

Construction of Synthetic Populations with Key Attributes: Simulation Set-Up While Accommodating Multiple Approaches within a Flexible Simulation Platform

Olufemi A. Omitaomu, Justin M. Beaver, Amy N. Rose, 2010, 2010 IEEE Second International Conference on Social Computing.

Multi-Criterion Active Learning in Conditional Random Fields

Nagiza F. Samatova, David Buttler, Byung-Hoon Park, 2006, 2006 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'06).

Kernelization algorithms for the vertex cover problem

Faisal N. Abu-Khzam, Rebecca L. Collins, Christopher T. Symons, 2017 .

A Combinatorial Approach to the Analysis of Differential Gene Expression Data

Lan Lin, Michael A. Langston, Bing Zhang, 2005 .

Scalable Parallel Algorithms for FPT Problems

Faisal N. Abu-Khzam, Michael A. Langston, Christopher T. Symons, 2006, Algorithmica.

Guided Text Search Using Adaptive Visual Analytics

Chad A. Steed, Frank A DeNap, Christopher T. Symons, 2012 .

A Text Analysis Approach to Motivate Knowledge Sharing via Microsoft SharePoint

Thomas E. Potok, Robert M. Patton, Christopher T. Symons, 2012, 2012 45th Hawaii International Conference on System Sciences.

Guided text analysis using adaptive visual analytics

Thomas E. Potok, Chad A. Steed, Christopher T. Symons, 2012, Visualization and Data Analysis.

High performance computational tools for Motif discovery

Michael A. Langston, Rebecca L. Collins, Brynn H. Voy, 2004, 18th International Parallel and Distributed Processing Symposium, 2004. Proceedings..

GX-Means: A model-based divide and merge algorithm for geospatial image clustering

Goo Jun, Varun Chandola, Ranga Raju Vatsavai, 2011, ICCS.

– Final Report : Guided Text Search Using Adaptive Visual Analytics

Christopher T. Symons, James K. Senter, C. Steed, 2012 .

Error-Bounded Graph Construction for Semi-supervised Manifold Learning

Christopher T. Symons, 2018 .

Extending Structural Learning Paradigms for High-Dimensional Machine Learning and Analysis

Christopher T. Symons, Christopher Todd Symons, 2012 .

Nonparametric semi-supervised learning for network intrusion detection: combining performance improvements with realistic in-situ training

Justin M. Beaver, Christopher T. Symons, Christopher T. Symons, 2012, AISec.