• Publications
  • Influence
Media-aware quantitative trading based on public Web information
TLDR
We propose a media-aware quantitative trading strategy utilizing sentiment information of Web media to predict stock market movements. Expand
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Text Mining for Medical Documents Using a Hidden Markov Model
TLDR
We propose a semantic tagger that provides high level concept information for phrases in clinical documents in a medical information tracking system. Expand
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Toward real time detection of the basic living activity in home using a wearable sensor and smart home sensors
TLDR
We present component ADL, which is decided with conjunction of human motion together, not just only contacted object identification. Expand
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Prescriptive Analytics System for Improving Research Power
TLDR
We introduce a prescriptive analytics system, InSciTe advisory, to provide researchers with advice of their future research direction and strategy based on activity history and research power w.r.t the designated researcher. Expand
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Procedural Knowledge Extraction on MEDLINE Abstracts
TLDR
Text mining is a popular methodology for building Technology Intelligence which helps companies or organizations to make better decisions by providing knowledge about state-of-the-art technologies obtained from the Internet or inside companies. Expand
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Text Summarization Based on Sentence Clustering with Rhetorical Structure Information
TLDR
We propose a text summarization approach that clusters text units before extracting summary sentences. Expand
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Acronym-Expansion Disambiguation for Intelligent Processing of Enterprise Information
TLDR
We propose a method of acronym-expansion disambiguation to collect high-quality enterprise information and demonstrate its efficiency through the use of objective comparisons. Expand
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DeepRain: ConvLSTM Network for Precipitation Prediction using Multichannel Radar Data
Accurate rainfall forecasting is critical because it has a great impact on people's social and economic activities. Recent trends on various literatures show that Deep Learning (Neural Network) is aExpand
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GlobeNet: Convolutional Neural Networks for Typhoon Eye Tracking from Remote Sensing Imagery
TLDR
We propose the use of multi-layer neural networks for understanding complex atmospheric dynamics based on multichannel satellite images. Expand
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Relation Extraction Based on Composite Kernel Combining Pattern Similarity of Predicate-Argument Structure
TLDR
The composite kernel approach calculates similarities based on the following information:(1) Phrase structure in convolution parse tree kernel that has shown encouraging results. Expand
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