Torin Stepan

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The phishing scam and its variants are estimated to cost victims billions of dollars per year. Researchers have responded with a number of anti-phishing systems, based either on blacklists or on heuristics. The former cannot cope with the churn of phishing sites, while the latter usually employ decision rules that are not congruent to human perception. We(More)
Location-based social networks (LBSNs) such as Foursquare, Brightkite, and Gowalla are a growing area where recommendation algorithms find a practical application. With an ever-increasing variety of venues to choose from deciding on a destination can be overwhelming. Recommenders aid their users in the decision-making process by providing a list of(More)
We investigate compression-based learning for image classification tasks. These algorithms are claimed to approximate the Kolmogorov complexity of the difference between two object descriptions, but in practice are a measure over an induced feature space. We investigate if these algorithms can be improved via feature selection. Our experiments cover a(More)
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