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ORCIDChristopher T. Symons
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2020 – today
- 2023
[c17]Junfeng Liu, Christopher T. Symons, Ranga Raju Vatsavai
:
Persona-Coded Poly-Encoder: Persona-Guided Multi-Stream Conversational Sentence Scoring. ICTAI 2023: 250-257- [i2]Junfeng Liu, Christopher T. Symons, Ranga Raju Vatsavai:
Persona-Coded Poly-Encoder: Persona-Guided Multi-Stream Conversational Sentence Scoring. CoRR abs/2309.16770 (2023) - 2022
- [c16]Junfeng Liu, Christopher T. Symons, Ranga Raju Vatsavai:
Persona-Based Conversational AI: State of the Art and Challenges. ICDM (Workshops) 2022: 993-1001 - [i1]Junfeng Liu, Christopher T. Symons, Ranga Raju Vatsavai:
Persona-Based Conversational AI: State of the Art and Challenges. CoRR abs/2212.03699 (2022)
2010 – 2019
- 2016
- [c15]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, Mallikarjun Shankar, Stephen Jesse:
BEAM: A Computational Workflow System for Managing and Modeling Material Characterization Data in HPC Environments. ICCS 2016: 2276-2280 - 2013
- [c14]Paul Logasa Bogen, Christopher T. Symons, Amber McKenzie, Robert M. Patton, Robert E. Gillen:
Massively scalable near duplicate detection in streams of documents using MDSH. IEEE BigData 2013: 480-486 - [c13]Justin M. Beaver, Christopher T. Symons, Robert E. Gillen:
A learning system for discriminating variants of malicious network traffic. CSIIRW 2013: 23 - 2012
- [c12]Christopher T. Symons, Justin M. Beaver:
Nonparametric semi-supervised learning for network intrusion detection: combining performance improvements with realistic in-situ training. AISec 2012: 49-58 - [c11]Robert M. Patton, Wade McNair, Christopher T. Symons, Jim N. Treadwell, Thomas E. Potok:
A Text Analysis Approach to Motivate Knowledge Sharing via Microsoft SharePoint. HICSS 2012: 3670-3678 - [c10]Christopher T. Symons, Ranga Raju Vatsavai, Goo Jun, Itamar Arel:
Bias Selection Using Task-Targeted Random Subspaces for Robust Application of Graph-Based Semi-supervised Learning. ICMLA (1) 2012: 415-420 - [c9]Chad A. Steed, Christopher T. Symons, Frank DeNap, Thomas E. Potok:
Guided text analysis using adaptive visual analytics. Visualization and Data Analysis 2012: 829408 - 2011
- [c8]Laura L. Pullum, Christopher T. Symons:
Failure Analysis of a Complex Learning Framework Incorporating Multi-modal and Semi-supervised Learning. PRDC 2011: 308-313 - [c7]Ranga Raju Vatsavai, Christopher T. Symons, Varun Chandola, Goo Jun:
GX-Means: A model-based divide and merge algorithm for geospatial image clustering. ICCS 2011: 186-195 - 2010
- [c6]Laura L. Pullum, Christopher T. Symons, Robert M. Patton, Barbara G. Beckerman:
Architecture-level dependability analysis of a medical decision support system. SEHC@ICSE 2010: 83-88 - [c5]Steven J. Fernandez, Amy N. Rose, Edward A. Bright, Justin M. Beaver, Christopher T. Symons, Olufemi A. Omitaomu, Cathy Jiao:
Construction of Synthetic Populations with Key Attributes: Simulation Set-Up While Accommodating Multiple Approaches within a Flexible Simulation Platform. SocialCom/PASSAT 2010: 701-706
2000 – 2009
- 2006
- [j1]Faisal N. Abu-Khzam, Michael A. Langston, Pushkar Shanbhag, Christopher T. Symons:
Scalable Parallel Algorithms for FPT Problems. Algorithmica 45(3): 269-284 (2006) - [c4]Christopher T. Symons, Nagiza F. Samatova, Ramya Krishnamurthy, Byung-Hoon Park, Tarik Umar, David Buttler, Terence Critchlow, David Hysom:
Multi-Criterion Active Learning in Conditional Random Fields. ICTAI 2006: 323-331 - 2005
- [c3]W. Henry Suters, Faisal N. Abu-Khzam, Yun Zhang, Christopher T. Symons, Nagiza F. Samatova, Michael A. Langston:
A New Approach and Faster Exact Methods for the Maximum Common Subgraph Problem. COCOON 2005: 717-727 - 2004
- [c2]Faisal N. Abu-Khzam, Rebecca L. Collins, Michael R. Fellows, Michael A. Langston, W. Henry Suters, Christopher T. Symons:
Kernelization Algorithms for the Vertex Cover Problem: Theory and Experiments. ALENEX/ANALC 2004: 62-69 - [c1]Nicole E. Baldwin, Rebecca L. Collins, Michael A. Langston, Christopher T. Symons, Michael R. Leuze, Brynn H. Voy:
High Performance Computational Tools for Motif Discovery. IPDPS 2004
Coauthor Index
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