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Data Synthesis based on Generative Adversarial Networks
TLDR
We propose a data synthesis method based on generative adversarial networks (GANs) to synthesize fake tables that are statistically similar to the original table. Expand
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We Used Neural Networks to Detect Clickbaits: You Won't Believe What Happened Next!
TLDR
In this paper, we introduce a neural network architecture based on Recurrent Neural Networks for detecting clickbaits. Expand
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APE: A Data-Driven, Behavioral Model-Based Anti-Poaching Engine
TLDR
We consider the problem of protecting a set of animals such as rhinos and elephants in a game park using D drones and R ranger patrols (on the ground) with R ≥ D. Expand
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MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation
TLDR
We present a novel approach called mixture of experts GAN (MEGAN), an ensemble approach of multiple generator networks, which is responsible for choosing the appropriate generator network for a given condition. Expand
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FakeTables: Using GANs to Generate Functional Dependency Preserving Tables with Bounded Real Data
TLDR
In many cases, an organization wishes to release some data, but is restricted in the amount of data to be released due to legal, privacy and other concerns. Expand
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Ensemble-based Overlapping Community Detection using Disjoint Community Structures
TLDR
We propose an ensemble-based approach, called EnCoD , that leverages the solutions produced by various disjoint community detection algorithms to discover the overlapping community structure. Expand
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Ensemble Models for Data-driven Prediction of Malware Infections
TLDR
We present ESM, an ensemble-based approach which combines both epidemiological and information diffusion models to construct a more accurate algorithm for malware spread and detection. Expand
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MAP: Frequency-Based Maximization of Airline Profits based on an Ensemble Forecasting Approach
TLDR
We propose the MAP (Maximizing Airline Profits) architecture designed to help airlines and make two key contributions in airline market share and route demand prediction and prediction-based airline profit optimization. Expand
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Saving rhinos with predictive analytics
TLDR
This article, the first entry in the new Predictive Analytics column, looks at the problem of animal poaching. Expand
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A Probabilistic Logic of Cyber Deception
TLDR
In this paper, we propose that the system generates a mix of true and false answers in response to scan requests. Expand
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