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Improving topic modeling through homophily for legal documents
Topic modeling that can automatically assign topics to legal documents is very important in the domain of computational law. The …
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Improvement of nerve imaging speed with coherent anti-Stokes Raman scattering rigid endoscope using deep-learning noise reduction
A coherent anti-Stokes Raman scattering (CARS) rigid endoscope was developed to visualize peripheral nerves without labeling for …
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Red-Fluorescent Pt Nanoclusters for Detecting and Imaging HER2 in Breast Cancer Cells
Overexpression of human epidermal growth factor receptor 2 (HER2) is associated with more frequent cancer recurrence and metastasis. …
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Visually grounded paraphrase identification via gating and phrase localization
Visually grounded paraphrases (VGPs) describe the same visual concept but in different wording. Previous studies have developed models …
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Convolutional Neural Network Can Recognize Drug Resistance of Single Cancer Cells
textlessptextgreaterIt is known that single or isolated tumor cells enter cancer patients’ circulatory systems. These circulating …
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ContextNet: representation and exploration for painting classification and retrieval in context
© 2019, The Author(s). In automatic art analysis, models that besides the visual elements of an artwork represent the relationships …
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Speech-driven face reenactment for a video sequence
We present a system for reenacting a person’s face driven by speech. Given a video sequence with the corresponding audio track of …
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Warmer Environments Increase Implicit Mental Workload Even If Learning Efficiency Is Enhanced
© Copyright © 2020 Kimura, Takemura, Nakashima, Kobori, Nagahara, Numao and Shinohara. Climate change is one of the most important …
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Contextualized multi-sense word embedding
Currently, distributed word representations are employed in many natural language processing tasks. However, when generating one …
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Deep-UV excitation fluorescence microscopy for detection of lymph node metastasis using deep neural network
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