Physiological Signal Embeddings (PHASE) via Interpretable Stacked Models
In health, machine learning is increasingly common, yet neural network embedding
(representation) learning is arguably under-utilized for physiological signals. This …
(representation) learning is arguably under-utilized for physiological signals. This …
[PDF][PDF] Master Thesis Designing Recurrent Neural Networks for Explainability
P Chormai - 2018 - research.tue.nl
Neural networks (NNs) are becoming increasingly popular and are being used in many
applications nowadays. Despite achieving state-of-the-art performance in various domains …
applications nowadays. Despite achieving state-of-the-art performance in various domains …
Enhancing representation learning with tensor decompositions for knowledge graphs and high dimensional sequence modeling
Y Yang - 2018 - edoc.ub.uni-muenchen.de
The capability of processing and digesting raw data is one of the key features of a human-
like artificial intelligence system. For instance, real-time machine translation should be able …
like artificial intelligence system. For instance, real-time machine translation should be able …
深層学習を用いた経済テキスト可視化の検証
伊藤友貴， 坂地泰紀， 和泉潔 - 人工知能学会第二種研究会資料, 2018 - jstage.jst.go.jp
抄録 経済文書のような専門的な文書は非専門家にとって読みにくい場合が多い. そのため,
非専門家を対象に経済文書上のセンチメントを単語単位で可視化するようなサポートシステムを …
非専門家を対象に経済文書上のセンチメントを単語単位で可視化するようなサポートシステムを …