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Time Series Segmentation through Automatic Feature Learning
v1v2 (latest)

Time Series Segmentation through Automatic Feature Learning

16 January 2018
Wei-Han Lee
Jorge Ortiz
Bongjun Ko
R. Lee
    AI4TSOOD
ArXiv (abs)PDFHTML

Papers citing "Time Series Segmentation through Automatic Feature Learning"

14 / 14 papers shown
Title
PromptTSS: A Prompting-Based Approach for Interactive Multi-Granularity Time Series Segmentation
PromptTSS: A Prompting-Based Approach for Interactive Multi-Granularity Time Series Segmentation
Ching Chang
Ming-Chih Lo
Wen-Chih Peng
Tien-Fu Chen
AI4TS
38
0
0
12 Jun 2025
Autoencoder Based Iterative Modeling and Multivariate Time-Series
  Subsequence Clustering Algorithm
Autoencoder Based Iterative Modeling and Multivariate Time-Series Subsequence Clustering Algorithm
Jonas Köhne
Lars Henning
C. Gühmann
37
3
0
09 Sep 2022
Latent Space Unsupervised Semantic Segmentation
Latent Space Unsupervised Semantic Segmentation
Knut J. Strommen
J. Tørresen
Ulysse Côté-Allard
AI4TS
35
3
0
22 Jul 2022
Cadence: A Practical Time-series Partitioning Algorithm for Unlabeled
  IoT Sensor Streams
Cadence: A Practical Time-series Partitioning Algorithm for Unlabeled IoT Sensor Streams
Tahiya Chowdhury
Murtadha M. N. Aldeer
Shantanu Laghate
Jorge Ortiz
AI4TS
48
2
0
06 Dec 2021
Segmenting Hybrid Trajectories using Latent ODEs
Segmenting Hybrid Trajectories using Latent ODEs
Ruian Shi
Q. Morris
BDL
50
6
0
09 May 2021
Active multi-fidelity Bayesian online changepoint detection
Active multi-fidelity Bayesian online changepoint detection
Gregory W. Gundersen
Diana Cai
Chuteng Zhou
Barbara E. Engelhardt
Ryan P. Adams
56
10
0
26 Mar 2021
Deep State Inference: Toward Behavioral Model Inference of Black-box
  Software Systems
Deep State Inference: Toward Behavioral Model Inference of Black-box Software Systems
Foozhan Ataiefard
Mohammad Jafar Mashhadi
Hadi Hemmati
Neil Walkinshaw
MLAU
87
4
0
13 Jan 2021
Change Point Detection in Time Series Data using Autoencoders with a
  Time-Invariant Representation
Change Point Detection in Time Series Data using Autoencoders with a Time-Invariant Representation
Tim De Ryck
M. D. Vos
Alexander Bertrand
94
57
0
21 Aug 2020
ESPRESSO: Entropy and ShaPe awaRe timE-Series SegmentatiOn for
  processing heterogeneous sensor data
ESPRESSO: Entropy and ShaPe awaRe timE-Series SegmentatiOn for processing heterogeneous sensor data
Shohreh Deldari
Daniel V. Smith
Amin Sadri
Flora D. Salim
AI4TS
76
22
0
24 Jul 2020
Automatic Detection of Major Freeway Congestion Events Using Wireless
  Traffic Sensor Data: A Machine Learning Approach
Automatic Detection of Major Freeway Congestion Events Using Wireless Traffic Sensor Data: A Machine Learning Approach
Sanaz Aliari
K. Sadabadi
31
8
0
09 Jul 2020
A Review of Computational Approaches for Evaluation of Rehabilitation
  Exercises
A Review of Computational Approaches for Evaluation of Rehabilitation Exercises
Y. Liao
Aleksandar Vakanski
Min Xian
D. Paul
Russell T. Baker
74
84
0
29 Feb 2020
A posteriori Trading-inspired Model-free Time Series Segmentation
A posteriori Trading-inspired Model-free Time Series Segmentation
M. Plessen
AI4TS
25
2
0
16 Dec 2019
A One-Class Support Vector Machine Calibration Method for Time Series
  Change Point Detection
A One-Class Support Vector Machine Calibration Method for Time Series Change Point Detection
Baihong Jin
Yuxin Chen
Dan Li
K. Poolla
Alberto L. Sangiovanni-Vincentelli
43
31
0
18 Feb 2019
Deep learning-based electroencephalography analysis: a systematic review
Deep learning-based electroencephalography analysis: a systematic review
Yannick Roy
Hubert J. Banville
Isabela Albuquerque
Alexandre Gramfort
T. Falk
J. Faubert
144
976
0
16 Jan 2019
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