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Change-Point Detection in Time-Series Data by Relative Density-Ratio
  Estimation
v1v2 (latest)

Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation

2 March 2012
Song Liu
M. Yamada
Nigel Collier
Masashi Sugiyama
ArXiv (abs)PDFHTML

Papers citing "Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation"

50 / 82 papers shown
Title
Projection Pursuit Density Ratio Estimation
Projection Pursuit Density Ratio Estimation
Meilin Wang
Wei Huang
Mingming Gong
Zheng Zhang
53
0
0
01 Jun 2025
Computational Efficiency under Covariate Shift in Kernel Ridge Regression
Computational Efficiency under Covariate Shift in Kernel Ridge Regression
Andrea Della Vecchia
Arnaud Mavakala Watusadisi
Ernesto De Vito
Lorenzo Rosasco
49
0
0
20 May 2025
Normalizing self-supervised learning for provably reliable Change Point
  Detection
Normalizing self-supervised learning for provably reliable Change Point Detection
Alexandra Bazarova
Evgenia Romanenkova
Alexey Zaytsev
58
2
0
17 Oct 2024
Real-time Fuel Leakage Detection via Online Change Point Detection
Real-time Fuel Leakage Detection via Online Change Point Detection
Ruimin Chu
Li Chik
Yiliao Song
Jeffrey Chan
Xiaodong Li
67
0
0
13 Oct 2024
Optimal starting point for time series forecasting
Optimal starting point for time series forecasting
Yiming Zhong
Yinuo Ren
Guangyao Cao
Feng Li
Haobo Qi
AI4TS
127
1
0
25 Sep 2024
A density ratio framework for evaluating the utility of synthetic data
A density ratio framework for evaluating the utility of synthetic data
Thom Benjamin Volker
Peter-Paul de Wolf
E. V. Kesteren
56
0
0
23 Aug 2024
A Likelihood-Free Approach to Goal-Oriented Bayesian Optimal
  Experimental Design
A Likelihood-Free Approach to Goal-Oriented Bayesian Optimal Experimental Design
Atlanta Chakraborty
Xun Huan
Tommie A. Catanach
75
3
0
18 Aug 2024
Adaptive Data Quality Scoring Operations Framework using Drift-Aware
  Mechanism for Industrial Applications
Adaptive Data Quality Scoring Operations Framework using Drift-Aware Mechanism for Industrial Applications
Firas Bayram
Bestoun S. Ahmed
Erik Hallin
63
3
0
13 Aug 2024
Causal Discovery-Driven Change Point Detection in Time Series
Causal Discovery-Driven Change Point Detection in Time Series
Shanyun Gao
Raghavendra Addanki
Tong Yu
Ryan Rossi
Murat Kocaoglu
AI4TS
65
1
0
10 Jul 2024
Density Ratio Estimation via Sampling along Generalized Geodesics on
  Statistical Manifolds
Density Ratio Estimation via Sampling along Generalized Geodesics on Statistical Manifolds
Masanari Kimura
H. Bondell
87
5
0
27 Jun 2024
Multiscale Quantile Regression with Local Error Control
Multiscale Quantile Regression with Local Error Control
Zhi Liu
Housen Li
84
1
0
17 Mar 2024
Online non-parametric likelihood-ratio estimation by Pearson-divergence
  functional minimization
Online non-parametric likelihood-ratio estimation by Pearson-divergence functional minimization
Alejandro de la Concha
Nicolas Vayatis
Argyris Kalogeratos
59
1
0
03 Nov 2023
Unsupervised Change Point Detection for heterogeneous sensor signals
Unsupervised Change Point Detection for heterogeneous sensor signals
Mario Krause
AI4TS
55
2
0
19 May 2023
DA-LSTM: A Dynamic Drift-Adaptive Learning Framework for Interval Load
  Forecasting with LSTM Networks
DA-LSTM: A Dynamic Drift-Adaptive Learning Framework for Interval Load Forecasting with LSTM Networks
Firas Bayram
Phil Aupke
Bestoun S. Ahmed
A. Kassler
A. Theocharis
Jonas Forsman
AI4TS
50
37
0
15 May 2023
Double-Weighting for Covariate Shift Adaptation
Double-Weighting for Covariate Shift Adaptation
José I. Segovia-Martín
Santiago Mazuelas
Anqi Liu
74
7
0
15 May 2023
Detecting Change Intervals with Isolation Distributional Kernel
Detecting Change Intervals with Isolation Distributional Kernel
Yang Cao
Ye Zhu
Kai Ming Ting
Flora D. Salim
Hong Xian Li
Luxing Yang
Gang Li
61
1
0
30 Dec 2022
Online Kernel CUSUM for Change-Point Detection
Online Kernel CUSUM for Change-Point Detection
S. Wei
Yao Xie
99
12
0
28 Nov 2022
Latent Neural Stochastic Differential Equations for Change Point
  Detection
Latent Neural Stochastic Differential Equations for Change Point Detection
Artem Sergeevich Ryzhikov
M. Hushchyn
D. Derkach
66
2
0
22 Aug 2022
A Contrastive Approach to Online Change Point Detection
A Contrastive Approach to Online Change Point Detection
Artur Goldman
Nikita Puchkin
Valeriia Shcherbakova
Uliana Vinogradova
82
7
0
21 Jun 2022
Random Forests for Change Point Detection
Random Forests for Change Point Detection
Malte Londschien
Peter Bühlmann
Solt Kovács
104
28
0
10 May 2022
An Independently Learnable Hierarchical Model for Bilateral
  Control-Based Imitation Learning Applications
An Independently Learnable Hierarchical Model for Bilateral Control-Based Imitation Learning Applications
Kazuki Hayashi
S. Sakaino
T. Tsuji
40
15
0
16 Mar 2022
Stacked Residuals of Dynamic Layers for Time Series Anomaly Detection
Stacked Residuals of Dynamic Layers for Time Series Anomaly Detection
Luca Zancato
Alessandro Achille
G. Paolini
A. Chiuso
Stefano Soatto
AI4TS
39
2
0
25 Feb 2022
Learning Sinkhorn divergences for supervised change point detection
Learning Sinkhorn divergences for supervised change point detection
Nauman Ahad
Eva L. Dyer
Keith B. Hengen
Yao Xie
Mark A. Davenport
75
3
0
08 Feb 2022
Temporal Detection of Anomalies via Actor-Critic Based Controlled
  Sensing
Temporal Detection of Anomalies via Actor-Critic Based Controlled Sensing
Geethu Joseph
M. C. Gursoy
P. Varshney
66
3
0
03 Jan 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
53
2
0
06 Dec 2021
Identifying On-road Scenarios Predictive of ADHD usingDriving Simulator
  Time Series Data
Identifying On-road Scenarios Predictive of ADHD usingDriving Simulator Time Series Data
David Grethlein
Aleksanteri Sladek
Santiago Ontañón
26
0
0
12 Nov 2021
Robust and efficient change point detection using novel multivariate
  rank-energy GoF test
Robust and efficient change point detection using novel multivariate rank-energy GoF test
Shoaib Bin Masud
Shuchin Aeron
66
0
0
29 Oct 2021
Meta-Learning for Relative Density-Ratio Estimation
Meta-Learning for Relative Density-Ratio Estimation
Atsutoshi Kumagai
Tomoharu Iwata
Yasuhiro Fujiwara
144
10
0
02 Jul 2021
An Encoding Approach for Stable Change Point Detection
An Encoding Approach for Stable Change Point Detection
Xiaodong Wang
F. Hsieh
AI4TS
50
2
0
11 May 2021
Continual Density Ratio Estimation in an Online Setting
Continual Density Ratio Estimation in an Online Setting
Yu Chen
Song Liu
Tom Diethe
Peter A. Flach
34
1
0
09 Mar 2021
Online detection of failures generated by storage simulator
Online detection of failures generated by storage simulator
K. Arzymatov
M. Hushchyn
A. Sapronov
V. Belavin
L. Gremyachikh
M. Karpov
Andrey Ustyuzhanin
23
1
0
18 Jan 2021
Understanding Action Sequences based on Video Captioning for
  Learning-from-Observation
Understanding Action Sequences based on Video Captioning for Learning-from-Observation
Iori Yanokura
Naoki Wake
Kazuhiro Sasabuchi
Katsushi Ikeuchi
Masayuki Inaba
71
4
0
09 Dec 2020
Time Series Change Point Detection with Self-Supervised Contrastive
  Predictive Coding
Time Series Change Point Detection with Self-Supervised Contrastive Predictive Coding
Shohreh Deldari
Daniel V. Smith
Hao Xue
Flora D. Salim
AI4TS
125
112
0
28 Nov 2020
Building an Automated and Self-Aware Anomaly Detection System
Building an Automated and Self-Aware Anomaly Detection System
Sayan Chakraborty
Smit Shah
Kiumars Soltani
A. Swigart
Luyao Yang
Kyle Buckingham
AI4TS
33
7
0
10 Nov 2020
Online Neural Networks for Change-Point Detection
Online Neural Networks for Change-Point Detection
M. Hushchyn
K. Arzymatov
D. Derkach
45
13
0
03 Oct 2020
Semi-supervised sequence classification through change point detection
Semi-supervised sequence classification through change point detection
Nauman Ahad
Mark A. Davenport
SSLAI4TS
71
7
0
24 Sep 2020
Sequential changepoint detection in classification data under label
  shift
Sequential changepoint detection in classification data under label shift
Ciaran Evans
M. G'Sell
31
0
0
18 Sep 2020
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
Shape-CD: Change-Point Detection in Time-Series Data with Shapes and Neurons
Varsha Suresh
Wei Tsang Ooi
AI4TS
31
0
0
22 Jul 2020
Non-Negative Bregman Divergence Minimization for Deep Direct Density
  Ratio Estimation
Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation
Masahiro Kato
Takeshi Teshima
96
36
0
12 Jun 2020
On Matched Filtering for Statistical Change Point Detection
On Matched Filtering for Statistical Change Point Detection
Kevin C. Cheng
Eric L. Miller
M. C. Hughes
Shuchin Aeron
84
10
0
09 Jun 2020
Process Knowledge Driven Change Point Detection for Automated
  Calibration of Discrete Event Simulation Models Using Machine Learning
Process Knowledge Driven Change Point Detection for Automated Calibration of Discrete Event Simulation Models Using Machine Learning
S. Yildirim
A. Murat
Murat Yildirim
S. Arslanturk
34
0
0
11 May 2020
Correlation-aware Unsupervised Change-point Detection via Graph Neural
  Networks
Correlation-aware Unsupervised Change-point Detection via Graph Neural Networks
Ruohong Zhang
Yu Hao
Donghan Yu
Wei-Cheng Chang
Guokun Lai
Yiming Yang
45
1
0
24 Apr 2020
Generalization of Change-Point Detection in Time Series Data Based on
  Direct Density Ratio Estimation
Generalization of Change-Point Detection in Time Series Data Based on Direct Density Ratio Estimation
M. Hushchyn
Andrey Ustyuzhanin
AI4TS
23
32
0
17 Jan 2020
A posteriori Trading-inspired Model-free Time Series Segmentation
A posteriori Trading-inspired Model-free Time Series Segmentation
M. Plessen
AI4TS
30
2
0
16 Dec 2019
Optimal Transport Based Change Point Detection and Time Series Segment
  Clustering
Optimal Transport Based Change Point Detection and Time Series Segment Clustering
Kevin C. Cheng
Shuchin Aeron
M. C. Hughes
Erika Hussey
Eric L. Miller
AI4TS
105
16
0
04 Nov 2019
Entropic Dynamic Time Warping Kernels for Co-evolving Financial Time
  Series Analysis
Entropic Dynamic Time Warping Kernels for Co-evolving Financial Time Series Analysis
Lu Bai
Lixin Cui
Lixiang Xu
Yue Wang
Zhihong Zhang
Edwin R. Hancock
AI4TS
32
35
0
21 Oct 2019
Distributed Change Detection in Streaming Graph Signals
Distributed Change Detection in Streaming Graph Signals
A. Ferrari
C. Richard
Louis Verduci
52
8
0
15 Oct 2019
A Review of Changepoint Detection Models
A Review of Changepoint Detection Models
Yixiao Li
Gloria Lin
Thomas Lau
Ruochen Zeng
AI4TS
34
4
0
20 Aug 2019
12
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