Kernelization Algorithms for the Vertex Cover Problem: Theory and Experiments. - Faisal N. Abu-Khzam; Rebecca L. Collins; Michael R. Fellows; Michael A. Langston; W. Henry Suters; Christopher T. Symons (ALENEX/ANALC, 2004)

High Performance Computational Tools for Motif Discovery. - Nicole E. Baldwin; Rebecca L. Collins; Michael A. Langston; Christopher T. Symons; Michael R. Leuze; Brynn H. Voy (IPDPS, 2004)

A New Approach and Faster Exact Methods for the Maximum Common Subgraph Problem. - W. Henry Suters; Faisal N. Abu-Khzam; Yun Zhang 013; Christopher T. Symons; Nagiza F. Samatova; Michael A. Langston (COCOON, 2005)

Multi-Criterion Active Learning in Conditional Random Fields. - Christopher T. Symons; Nagiza F. Samatova; Ramya Krishnamurthy; Byung-Hoon Park; Tarik Umar; David Buttler; Terence Critchlow; David Hysom (ICTAI, 2006)

Scalable Parallel Algorithms for FPT Problems. - Faisal N. Abu-Khzam; Michael A. Langston; Pushkar Shanbhag; Christopher T. Symons (Algorithmica, 2006)

Architecture-level dependability analysis of a medical decision support system. - Laura L. Pullum; Christopher T. Symons; Robert M. Patton; Barbara G. Beckerman (SEHC@ICSE, 2010)

Construction of Synthetic Populations with Key Attributes: Simulation Set-Up While Accommodating Multiple Approaches within a Flexible Simulation Platform. - Steven J. Fernandez; Amy N. Rose; Edward A. Bright; Justin M. Beaver; Christopher T. Symons; Olufemi A. Omitaomu; Cathy Jiao (SocialCom/PASSAT, 2010)

Failure Analysis of a Complex Learning Framework Incorporating Multi-modal and Semi-supervised Learning. - Laura L. Pullum; Christopher T. Symons (PRDC, 2011)

GX-Means: A model-based divide and merge algorithm for geospatial image clustering. - Ranga Raju Vatsavai; Christopher T. Symons; Varun Chandola; Goo Jun (ICCS, 2011)

Nonparametric semi-supervised learning for network intrusion detection: combining performance improvements with realistic in-situ training. - Christopher T. Symons; Justin M. Beaver (AISec, 2012)

A Text Analysis Approach to Motivate Knowledge Sharing via Microsoft SharePoint. - Robert M. Patton; Wade McNair; Christopher T. Symons; Jim N. Treadwell; Thomas E. Potok (HICSS, 2012)

Bias Selection Using Task-Targeted Random Subspaces for Robust Application of Graph-Based Semi-supervised Learning. - Christopher T. Symons; Ranga Raju Vatsavai; Goo Jun; Itamar Arel (ICMLA (1), 2012)

Guided text analysis using adaptive visual analytics. - Chad A. Steed; Christopher T. Symons; Frank DeNap; Thomas E. Potok (Visualization and Data Analysis, 2012)

Massively scalable near duplicate detection in streams of documents using MDSH. - Paul Logasa Bogen; Christopher T. Symons; Amber McKenzie; Robert M. Patton; Robert E. Gillen (IEEE BigData, 2013)

A learning system for discriminating variants of malicious network traffic. - Justin M. Beaver; Christopher T. Symons; Robert E. Gillen (CSIIRW, 2013)

BEAM: A Computational Workflow System for Managing and Modeling Material Characterization Data in HPC Environments. - Eric J. Lingerfelt; Alex Belianinov; Eirik Endeve; O. Ovchinnikov; Suhas Somnath; Jose M. Borreguero; N. Grodowitz; B. Park; Richard K. Archibald; Christopher T. Symons; Sergei V. Kalinin; O. E. Bronson Messer; et al. (ICCS, 2016)

Persona-Based Conversational AI: State of the Art and Challenges. - Junfeng Liu; Christopher T. Symons; Ranga Raju Vatsavai (ICDM (Workshops), 2022)

Persona-Coded Poly-Encoder: Persona-Guided Multi-Stream Conversational Sentence Scoring. - Junfeng Liu; Christopher T. Symons; Ranga Raju Vatsavai (ICTAI, 2023)

CoMAC: Conversational Agent for Multi-source Auxiliary Context with Sparse and Symmetric Latent Interactions. - Junfeng Liu; Christopher T. Symons; Ranga Raju Vatsavai (PAKDD (5), 2025)