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Time Series Change Point Detection with Self-Supervised Contrastive
  Predictive Coding

Time Series Change Point Detection with Self-Supervised Contrastive Predictive Coding

28 November 2020
Shohreh Deldari
Daniel V. Smith
Hao Xue
Flora D. Salim
    AI4TS
ArXivPDFHTML

Papers citing "Time Series Change Point Detection with Self-Supervised Contrastive Predictive Coding"

17 / 17 papers shown
Title
Decomposition-based multi-scale transformer framework for time series anomaly detection
Decomposition-based multi-scale transformer framework for time series anomaly detection
Wenxin Zhang
Cuicui Luo
AI4TS
25
0
0
19 Apr 2025
DConAD: A Differencing-based Contrastive Representation Learning Framework for Time Series Anomaly Detection
DConAD: A Differencing-based Contrastive Representation Learning Framework for Time Series Anomaly Detection
W. Zhang
X. Lin
Wenjun Yu
Guangzhen Yao
jingxiang Zhong
Y. Li
Renda Han
Songcheng Xu
Hao Shi
Cuicui Luo
AI4TS
31
0
0
19 Apr 2025
Revisiting Backdoor Attacks on Time Series Classification in the Frequency Domain
Revisiting Backdoor Attacks on Time Series Classification in the Frequency Domain
Y. Huang
Mi Zhang
Z. Wang
Wenxuan Li
Min Yang
AI4TS
AAML
56
0
0
12 Mar 2025
GDformer: Going Beyond Subsequence Isolation for Multivariate Time Series Anomaly Detection
GDformer: Going Beyond Subsequence Isolation for Multivariate Time Series Anomaly Detection
Qingxiang Liu
Chenghao Liu
Sheng Sun
Di Yao
Yuxuan Liang
AI4TS
54
0
0
30 Jan 2025
TSINR: Capturing Temporal Continuity via Implicit Neural Representations for Time Series Anomaly Detection
Mengxuan Li
Ke Liu
Hongyang Chen
Jiajun Bu
Hongwei Wang
Haishuai Wang
AI4TS
96
0
0
18 Nov 2024
Past, Present, and Future of Sensor-Based Human Activity Recognition Using Wearables: A Surveying Tutorial on a Still Challenging Task
Past, Present, and Future of Sensor-Based Human Activity Recognition Using Wearables: A Surveying Tutorial on a Still Challenging Task
H. Haresamudram
Chi Ian Tang
Sungho Suh
P. Lukowicz
Thomas Ploetz
76
2
0
11 Nov 2024
Smooth InfoMax -- Towards easier Post-Hoc interpretability
Smooth InfoMax -- Towards easier Post-Hoc interpretability
Fabian Denoodt
Bart de Boer
José Oramas
21
2
0
23 Aug 2024
Heterogeneous Contrastive Learning for Foundation Models and Beyond
Heterogeneous Contrastive Learning for Foundation Models and Beyond
Lecheng Zheng
Baoyu Jing
Zihao Li
Hanghang Tong
Jingrui He
VLM
30
19
0
30 Mar 2024
PatchAD: A Lightweight Patch-based MLP-Mixer for Time Series Anomaly
  Detection
PatchAD: A Lightweight Patch-based MLP-Mixer for Time Series Anomaly Detection
Zhijie Zhong
Zhiwen Yu
Yiyuan Yang
Weizheng Wang
Kaixiang Yang
33
6
0
18 Jan 2024
Selective Inference for Changepoint detection by Recurrent Neural
  Network
Selective Inference for Changepoint detection by Recurrent Neural Network
Tomohiro Shiraishi
Daiki Miwa
Vo Nguyen Le Duy
Ichiro Takeuchi
16
4
0
25 Nov 2023
Unsupervised Flood Detection on SAR Time Series
Unsupervised Flood Detection on SAR Time Series
Ritu Yadav
A. Nascetti
Hossein Azizpour
Y. Ban
23
8
0
07 Dec 2022
Investigating Enhancements to Contrastive Predictive Coding for Human
  Activity Recognition
Investigating Enhancements to Contrastive Predictive Coding for Human Activity Recognition
H. Haresamudram
Irfan Essa
Thomas Ploetz
AI4TS
30
15
0
11 Nov 2022
Dynamic Interpretable Change Point Detection
Dynamic Interpretable Change Point Detection
Kopal Garg
Jennifer Yu
Tina Behrouzi
S. Tonekaboni
Anna Goldenberg
AI4TS
24
0
0
08 Nov 2022
Multi-level Contrast Network for Wearables-based Joint Activity
  Segmentation and Recognition
Multi-level Contrast Network for Wearables-based Joint Activity Segmentation and Recognition
Songpengcheng Xia
Lei Chu
Ling Pei
Wenxi Yu
Robert C. Qiu
15
2
0
16 Aug 2022
Calibrated One-class Classification for Unsupervised Time Series Anomaly
  Detection
Calibrated One-class Classification for Unsupervised Time Series Anomaly Detection
Hongzuo Xu
Yijie Wang
Songlei Jian
Qing Liao
Yongjun Wang
Guansong Pang
AI4TS
21
40
0
25 Jul 2022
Assessing the State of Self-Supervised Human Activity Recognition using
  Wearables
Assessing the State of Self-Supervised Human Activity Recognition using Wearables
H. Haresamudram
Irfan Essa
Thomas Plötz
SSL
34
85
0
22 Feb 2022
Federated Self-Supervised Learning of Multi-Sensor Representations for
  Embedded Intelligence
Federated Self-Supervised Learning of Multi-Sensor Representations for Embedded Intelligence
Aaqib Saeed
Flora D. Salim
T. Ozcelebi
J. Lukkien
FedML
SSL
98
98
0
25 Jul 2020
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