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강재우 프로필 사진

강재우

Kang, Jae woo

대학원

컴퓨터학과

연도별 연구 활동 현황

선택된 필터

전체 193건 중 91번부터 100번까지의 결과를 표시합니다.

2019

Article

Exploring the molecular mechanisms of Traditional Chinese Medicine components using gene expression signatures and connectivity map

Article

CollaboNet: collaboration of deep neural networks for biomedical named entity recognition

Conference

Predicting Multiple Demographic Attributes with Task Specific Embedding and Attention Network

Article

Multipath-DenseNet: A Supervised ensemble architecture of densely connected convolutional networks

Article

paraFaceTest: an ensemble of regression tree-based facial features extraction for efficient facial paralysis classification

Article

Can Machines Learn to Comprehend Scientific Literature?

Article

Global Stock Market Prediction Based on Stock Chart Images Using Deep Q-Network

Article

A Neural Named Entity Recognition and Multi-Type Normalization Tool for Biomedical Text Mining

2018

Article

Classification of lung nodules in CT scans using three-dimensional deep convolutional neural networks with a checkpoint ensemble method

Conference

Ranking Paragraphs for Improving Answer Recall in Open-Domain Question Answering

상세 보기

강재우

자료유형

발행연도

키워드

언어

선택된 필터

Exploring the molecular mechanisms of Traditional Chinese Medicine components using gene expression signatures and connectivity map

CollaboNet: collaboration of deep neural networks for biomedical named entity recognition

Predicting Multiple Demographic Attributes with Task Specific Embedding and Attention Network

Multipath-DenseNet: A Supervised ensemble architecture of densely connected convolutional networks

paraFaceTest: an ensemble of regression tree-based facial features extraction for efficient facial paralysis classification

Can Machines Learn to Comprehend Scientific Literature?

Global Stock Market Prediction Based on Stock Chart Images Using Deep Q-Network

A Neural Named Entity Recognition and Multi-Type Normalization Tool for Biomedical Text Mining

Classification of lung nodules in CT scans using three-dimensional deep convolutional neural networks with a checkpoint ensemble method

Ranking Paragraphs for Improving Answer Recall in Open-Domain Question Answering