John Thomas Wilkinson

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This study was undertaken to evaluate the inhibitory effects of benzyl isothiocyanate (BITC), phenethyl isothiocyanate (PEITC), 3-phenylpropyl isothiocyanate (PPITC) or 4-phenylbutyl isothiocyanate (PBITC) on N-nitrosomethyl-benzylamine (NMBA)-induced esophageal tumorigenesis in male Fischer 344 rats. Groups of 15 male rats were fed modified AIN-76A diet or(More)
We address the problem of information fusion in uncertain environments. Imagine there are multiple experts building probabilistic models of the same situation and we wish to aggregate the information they provide. There are several problems we may run into by naively merging the information from each. For example, the experts may disagree on the probability(More)
We address the problem of information fusion in uncertain environments. Imagine there are multiple experts building probabilistic models of the same situation and we wish to aggregate the information they provide. There are several problems we may run into by naively merging the information from each. For example, the experts may disagree on the probability(More)
Modeling complex real world scenarios require representing and analyzing information from multiple domains including social, economic and political aspects. However, most of the current frameworks in social networks are not generic enough to incorporate multi-domain information or to be applied in different scenarios. Current frameworks also make(More)
When decisions need to be made in government, the intelligence community (IC) is tasked with analyzing the situation. This analysis is based on a huge amount of information and usually under severe time constraints. As such, it is particularly vulnerable to attacks from insiders with malicious intent. A malicious insider may alter, fabricate, or hide(More)
Modeling real-world social situations has proven to be one of the most daunting challenges in computational social science. With the exception of simplistic, single-domain scenarios, most computational models are quickly overwhelmed with the complexity and diversity of real-world scenarios. In this paper, we apply intent-driven modeling to a complex,(More)
Social networks are an important way to represent and analyze social phenomena. One aspect that is critical in order to provide relevant and useful analyses is the capability to infuse culture systematically. Cultural elements are typically either lacking or implicitly (and sometimes unintentionally) embedded in social network construction. Thus, current(More)
A user’s cognitive style has been found to affect how they search for information, how they analyze the information, and how they make decisions in an analytical process. In this paper, we propose an approach that uses Hidden Markov Models (HMM) to dynamically capture a user’s cognitive style by automatically exploring the sequence of actions(More)