Visual Time Series Forecasting: An Image-driven Approach

2 July 2021

Papers citing "Visual Time Series Forecasting: An Image-driven Approach"

13 / 13 papers shown

Title
Clustering Time Series Data through Autoencoder-based Deep Learning Models Neda Tavakoli Sima Siami‐Namini Mahdi Adl Khanghah Fahimeh Mirza Soltani A. Namin AI4TS 16 11 0 11 Apr 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 493 42,449 0 03 Dec 2019
Explaining Agent-Based Financial Market Simulation David Byrd 36 18 0 25 Sep 2019
Trading via Image Classification N. Cohen T. Balch Manuela Veloso 59 34 0 23 Jul 2019
The Effect of Visual Design in Image Classification N. Cohen T. Balch Manuela Veloso 18 4 0 22 Jul 2019
Forecasting with time series imaging Xixi Li Yanfei Kang Feng Li AI4TS 55 86 0 17 Apr 2019
Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression S. Hamid Rezatofighi Deyuan Li JunYoung Gwak Amir Sadeghian Ian Reid Silvio Savarese 150 4,164 0 25 Feb 2019
Autowarp: Learning a Warping Distance from Unlabeled Time Series Using Sequence Autoencoders Abubakar Abid James Zou AI4TS 50 42 0 23 Oct 2018
Generative Face Completion Yijun Li Sifei Liu Jimei Yang Ming-Hsuan Yang CVBM 3DH 59 602 0 19 Apr 2017
Medical image denoising using convolutional denoising autoencoders Lovedeep Gondara MedIm 51 565 0 16 Aug 2016
Image Restoration Using Convolutional Auto-encoders with Symmetric Skip Connections Xiao-Jiao Mao Chunhua Shen Yubin Yang SupR 58 399 0 29 Jun 2016
How (not) to Train your Generative Model: Scheduled Sampling, Likelihood, Adversary? Ferenc Huszár OOD DiffM GAN 84 297 0 16 Nov 2015
What Regularized Auto-Encoders Learn from the Data Generating Distribution Guillaume Alain Yoshua Bengio OOD DRL 70 502 0 18 Nov 2012