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A Psycholinguistics-inspired Method to Counter IP Theft Using Fake Documents
- Natalia Denisenko,
- Youzhi Zhang,
- Chiara Pulice,
- Shohini Bhattasali,
- Sushil Jajodia,
- Philip Resnik,
- V.S. Subrahmanian
Intellectual property (IP) theft is a growing problem. We build on prior work to deter IP theft by generating n fake versions of a technical document so a thief has to expend time and effort in identifying the correct document. Our new SbFAKE framework ...
Estimating Future Financial Development of Urban Areas for Deploying Bank Branches: A Local-Regional Interpretable Model
Financial forecasting is an important task for urban development. In this article, we propose a novel deep learning framework to predict the future financial potential of urban spaces. To be more precise, our target is to infer the number of financial ...
Co-occurrence Order-preserving Pattern Mining with Keypoint Alignment for Time Series
Recently, order-preserving pattern (OPP) mining has been proposed to discover some patterns, which can be seen as trend changes in time series. Although existing OPP mining algorithms have achieved satisfactory performance, they discover all frequent ...
Mining Multimorbidity Trajectories and Co-Medication Effects from Patient Data to Predict Post–Hip Fracture Outcomes
Hip fractures have profound impacts on patients’ conditions and quality of life, even when they receive therapeutic treatments. Many patients face the risk of poor prognosis, physical impairment, and even mortality, especially older patients. Accurate ...
