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Using Random Forest to Learn Imbalanced Data
tl;dr
In this paper we propose two ways to deal with the imbalanced data classification problem using random forest. Expand
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InterPlaNetary Internet: state-of-the-art and research challenges
tl;dr
InterPlaNetary (IPN) Internet is expected to be the next step in the design and development of deep space networks as the Internet of the deep space planetary networks. Expand
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Detecting Errors and Imputing Missing Data for Single-Loop Surveillance Systems
tl;dr
A method is described that detects bad data samples and imputes missing or bad samples to form a complete grid of clean data, in real time. Expand
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A hybrid model for wind speed prediction using empirical mode decomposition and artificial neural networks
Wind speed forecasting is one of the most important technologies to guarantee the wind energy integrated into the whole power system smoothly. In this paper a hybrid model named EMD–ANN for windExpand
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6 million spam tweets: A large ground truth for timely Twitter spam detection
tl;dr
We collected a large dataset of over 600 million public tweets and extracted 12 light-weight features, which can be used for online detection of Twitter spam. Expand
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Transcriptome-wide isoform-level dysregulation in ASD, schizophrenia, and bipolar disorder
INTRODUCTION Our understanding of the pathophysiology of psychiatric disorders, including autism spectrum disorder (ASD), schizophrenia (SCZ), and bipolar disorder (BD), lags behind other fields ofExpand
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Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation
tl;dr
We propose to joint domain alignment and discriminative feature learning, which could benefit both domain alignment, final classification and final classification. Expand
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Freeway Performance Measurement System: Mining Loop Detector Data
Performance Measurement System (PeMS) is a freeway performance measurement system for all of California. It processes 2 GB/day of 30-s loop detector data in real time to produce useful information.Expand
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Cooperative Spectrum Sensing in Cognitive Radio Networks in the Presence of the Primary User Emulation Attack
tl;dr
In recent years, the security issues of the cognitive radio (CR) networks have drawn a lot of research attentions. Expand
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Systematic Identification of Freeway Bottlenecks
The algorithm presented identifies bottleneck locations, the times for which each bottleneck is active, and the delay they cause. The bottlenecks are ranked in terms of their frequency of recurrenceExpand
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