Christie M. Fuller

Analysis of healthcare coverage: A data mining approach

Dursun Delen, Christie M. Fuller, Charles McCann, Deepa Ray
Expert Syst. Appl.
2009

The existing disparity in the healthcare coverage is a pressing issue in the United States. Unfortunately, many in the US do not have healthcare coverage and much research is needed to identify the… (More)

Exploration of Feature Selection and Advanced Classification Models for High-Stakes Deception Detection

Christie M. Fuller, David P. Biros, Dursun Delen
Proceedings of the 41st Annual Hawaii…
2008

Recent research has demonstrated the effectiveness of automated text-based deception detection. In this study, using a variety of data sets and common classification techniques, this has been shown… (More)

An investigation of data and text mining methods for real world deception detection

Christie M. Fuller, David P. Biros, Dursun Delen
Expert Syst. Appl.
2011

Uncovering lies (or deception) is of critical importance to many including law enforcement and security personnel. Though these people may try to use many different tactics to discover deception,… (More)

An Examination of Deception in Virtual Teams: Effects of Deception on Task Performance, Mutuality, and Trust

Christie M. Fuller, Kent Marett, Douglas P. Twitchell
IEEE Transactions on Professional Communication
2012

Research Problem: This study investigates the impact of deception on the performance of tasks in virtual teams. While the advantages of virtual teams in organizations have been well-studied, as the… (More)

High-stakes, Real-world Deception: an Examination of the Process of Deception and Deception Detection Using Linguistic-based Cues

Christie M. Fuller
2008

Dean of the Graduate College iv ACKNOWLEDGEMENTS I wish to extend sincere thanks to Dr. Rick Wilson, my committee chair, for his support and guidance throughout my years at OSU. I also extend my… (More)

An Analysis of Text-Based Deception Detection Tools

Christie M. Fuller, David P. Biros, Douglas P. Twitchell, Judee K. Burgoon, Mark Adkins
AMCIS
2006

The quality of information can be degraded when individuals attempt to deceive others through information manipulation. This can be very influential in a text-based domain. In recent years, tools… (More)

The Impact of Ability and Participation on Trustworthiness and Task Performance in Virtual Teams

Christie M. Fuller, Douglas P. Twitchell, Kent Marett, A. J. Burns
IJSODIT
2012

Comparing Methods to Extract the Knowledge from Neural Networks

Neural networks (NN) have been shown to be accurate classifiers in many domains. Unfortunately, the lack of NN’s explanatory capability of knowledge learned has somewhat limited their application. A… (More)

Extracting Knowledge from Neural Networks

Christie M. Fuller, Rick L. Wilson
Encyclopedia of Knowledge Management
2011

IntroductIon Neural networks (NN) as classifier systems have shown great promise in many problem domains in empirical studies over the past two decades. Using case classification accuracy as the… (More)

An Analytic Approach to Understanding and Predicting Healthcare Coverage

The inequality in the level of healthcare coverage among the people in the US is a pressing issue. Unfortunately, many people do not have healthcare coverage and much research is needed to identify… (More)

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