Imaging Time-Series to Improve Classification and Imputation

1 June 2015

Papers citing "Imaging Time-Series to Improve Classification and Imputation"

33 / 83 papers shown

Title
Self-Augmented Multi-Modal Feature Embedding Shinnosuke Matsuo S. Uchida Brian Kenji Iwana 19 1 0 08 Mar 2021
CLPVG: Circular limited penetrable visibility graph as a new network model for time series Qi Xuan Jinchao Zhou Kunfeng Qiu Dongwei Xu Shilian Zheng Xiaoniu Yang 20 15 0 01 Mar 2021
A Deep Learning Based Ternary Task Classification System Using Gramian Angular Summation Field in fNIRS Neuroimaging Data Sajila D. Wickramaratne Md. Shaad Mahmud 29 17 0 14 Jan 2021
Anomaly Detection in Time Series with Triadic Motif Fields and Application in Atrial Fibrillation ECG Classification Yadong Zhang Xin Chen AI4TS 16 0 0 09 Dec 2020
Self-supervised Deep Learning for Reading Activity Classification M. Islam Shuji Sakamoto Yoshihiro Yamada Andrew W. Vargo M. Iwata Masakazu Iwamura K. Kise 11 2 0 07 Dec 2020
Combining Deep Transfer Learning with Signal-image Encoding for Multi-Modal Mental Wellbeing Classification Kieran Woodward E. Kanjo A. Tsanas 34 4 0 20 Nov 2020
Predicting the Future is like Completing a Painting! Nadir Maaroufi Mehdi Najib Mohamed Bakhouya 11 10 0 09 Nov 2020
DeConFuse : A Deep Convolutional Transform based Unsupervised Fusion Framework Pooja Gupta Jyoti Maggu A. Majumdar Émilie Chouzenoux Giovanni Chierchia 14 12 0 09 Nov 2020
ConFuse: Convolutional Transform Learning Fusion Framework For Multi-Channel Data Analysis Pooja Gupta Jyoti Maggu A. Majumdar Émilie Chouzenoux Giovanni Chierchia AI4TS 17 2 0 09 Nov 2020
SigNet: A Novel Deep Learning Framework for Radio Signal Classification Zhuangzhi Chen Hui Cui Jingyang Xiang Kunfeng Qiu Liang Huang Shilian Zheng Shichuan Chen Qi Xuan Xiaoniu Yang 19 66 0 28 Oct 2020
Deep learning for time series classification Hassan Ismail Fawaz BDL AI4TS 43 35 0 01 Oct 2020
Piece-wise Matching Layer in Representation Learning for ECG Classification B. Ghazanfari Fatemeh Afghah Sixian Zhang AI4TS 27 0 0 26 Sep 2020
Semantics-aware Adaptive Knowledge Distillation for Sensor-to-Vision Action Recognition Yang Liu Keze Wang Guanbin Li Liang Lin 29 87 0 01 Sep 2020
Adversarial Robustness of Deep Convolutional Candlestick Learner Jun-Hao Chen Samuel Yen-Chi Chen Yun-Cheng Tsai Chih-Shiang Shur AAML 14 1 0 29 May 2020
Data Augmentation for Deep Candlestick Learner Chia-Ying Tsao Jun-Hao Chen Samuel Yen-Chi Chen Yun-Cheng Tsai 8 1 0 14 May 2020
Encoding Power Traces as Images for Efficient Side-Channel Analysis Benjamin Hettwer Tobias Horn Stefan Gehrer Tim Güneysu AAML 14 26 0 23 Apr 2020
Implementation of Deep Neural Networks to Classify EEG Signals using Gramian Angular Summation Field for Epilepsy Diagnosis Palani Thanaraj Krishnan B. Parvathavarthini U. Tanik V. Rajinikanth Seifedine Kadry K. Kamalanand 6 45 0 08 Mar 2020
Motif Difference Field: A Simple and Effective Image Representation of Time Series for Classification Yadong Zhang Xin Chen AI4TS 12 2 0 21 Jan 2020
Unsupervised Features Learning for Sampled Vector Fields M. Juda 9 2 0 22 Nov 2019
DeVLearn: A Deep Visual Learning Framework for Localizing Temporary Faults in Power Systems Shuchismita Biswas Rounak Meyur Virgilio Centeno 11 0 0 09 Nov 2019
Deep-Gap: A deep learning framework for forecasting crowdsourcing supply-demand gap based on imaging time series and residual learning Ahmed Ben Said A. Erradi AI4TS 20 7 0 02 Nov 2019
Timage -- A Robust Time Series Classification Pipeline Marc Wenninger Sebastian P. Bayerl Jochen Schmidt Korbinian Riedhammer 33 7 0 19 Sep 2019
Trading via Image Classification N. Cohen T. Balch Manuela Veloso 19 34 0 23 Jul 2019
Non-technical Loss Detection with Statistical Profile Images Based on Semi-supervised Learning Jiangteng Li Fei Wang 6 2 0 09 Jul 2019
Forecasting with time series imaging Xixi Li Yanfei Kang Feng Li AI4TS 19 83 0 17 Apr 2019
Deep learning for time series classification: a review Hassan Ismail Fawaz Germain Forestier J. Weber L. Idoumghar Pierre-Alain Muller AI4TS AI4CE 106 2,647 0 12 Sep 2018
Learning to Exploit Invariances in Clinical Time-Series Data using Sequence Transformer Networks Jeeheh Oh Jiaxuan Wang Jenna Wiens AI4TS MedIm 11 49 0 21 Aug 2018
Sequential Behavioral Data Processing Using Deep Learning and the Markov Transition Field in Online Fraud Detection Ruinan Zhang Fanglan Zheng Wei Min MU 18 33 0 16 Aug 2018
Shortening Time Required for Adaptive Structural Learning Method of Deep Belief Network with Multi-Modal Data Arrangement Shin Kamada T. Ichimura 11 1 0 11 Jul 2018
Classification of Time-Series Images Using Deep Convolutional Neural Networks Nima Hatami Y. Gavet J. Debayle 29 327 0 02 Oct 2017
Time Series Classification from Scratch with Deep Neural Networks: A Strong Baseline Zhiguang Wang Weizhong Yan Tim Oates AI4TS 23 1,632 0 20 Nov 2016
Encoding Temporal Markov Dynamics in Graph for Visualizing and Mining Time Series Lu Liu Zhiguang Wang AI4TS 17 13 0 24 Oct 2016
Representation Learning with Deconvolution for Multivariate Time Series Classification and Visualization Zhiguang Wang Wei Song Lu Liu Fan Zhang Junxiao Xue Yangdong Ye Ming Fan Mingliang Xu AI4TS FAtt 41 23 0 24 Oct 2016