TSViz: Demystification of Deep Learning Models for Time-Series Analysis

TSViz: Demystification of Deep Learning Models for Time-Series Analysis

This paper presents a novel framework for the demystification of convolutional deep learning models for time-series analysis. This is a step toward making informed/explainable decisions in the domain of time series, powered by deep learning. There have been numerous efforts to increase the interpret...

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Những tác giả chính: Shoaib Ahmed Siddiqui, Dominique Mercier, Mohsin Munir, Andreas Dengel, Sheraz Ahmed
Định dạng: Bài viết
Ngôn ngữ:English
Được phát hành: IEEE 2019-01-01
Loạt:IEEE Access
Những chủ đề:
Deep learning
representation learning
convolutional neural networks
time-series analysis
time-series forecasting
feature importance
Truy cập trực tuyến:https://ieeexplore.ieee.org/document/8695734/

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https://ieeexplore.ieee.org/document/8695734/

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