Audrey Der

23 papers A* 3A 4B 2C 1Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2024 A conf
A Systematic Evaluation of Generated Time Series and Their Effects in Self-Supervised Pretraining.
CIKM
Audrey Der, Chin-Chia Michael Yeh, Xin Dai, Huiyuan Chen, Yan Zheng, Yujie Fan, Zhongfang Zhuang, Vivian Lai, Junpeng Wang, Liang Wang, Wei Zhang, Eamonn J. Keogh
2024 J jnl
A Systematic Evaluation of Generated Time Series and Their Effects in Self-Supervised Pretraining.
CoRR
Audrey Der, Chin-Chia Michael Yeh, Xin Dai, Huiyuan Chen, Yan Zheng, Yujie Fan, Zhongfang Zhuang, Vivian Lai, Junpeng Wang, Liang Wang, Wei Zhang, Eamonn J. Keogh
2024 J jnl
Introducing Mplots: scaling time series recurrence plots to massive datasets.
J. Big Data
Maryam Shahcheraghi, Ryan Mercer, João Manuel De Almeida Rodrigues, Audrey Der, Hugo Filipe Silveira Gamboa, Zachary Zimmerman, Kerry Mauck, Eamonn J. Keogh
2024 A* conf
Matrix Profile for Anomaly Detection on Multidimensional Time Series.
ICDM
Chin-Chia Michael Yeh, Audrey Der, Uday Singh Saini, Vivian Lai, Yan Zheng, Junpeng Wang, Xin Dai, Zhongfang Zhuang, Yujie Fan, Huiyuan Chen, Prince Osei Aboagye, Liang Wang, Wei Zhang, Eamonn J. Keogh
2024 J jnl
Matrix Profile for Anomaly Detection on Multidimensional Time Series.
CoRR
Chin-Chia Michael Yeh, Audrey Der, Uday Singh Saini, Vivian Lai, Yan Zheng, Junpeng Wang, Xin Dai, Zhongfang Zhuang, Yujie Fan, Huiyuan Chen, Prince Osei Aboagye, Liang Wang, Wei Zhang, Eamonn J. Keogh
2024 A conf
PUPAE: Intuitive and Actionable Explanations for Time Series Anomalies.
SDM
Audrey Der, Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh
2024 J jnl
PUPAE: Intuitive and Actionable Explanations for Time Series Anomalies.
CoRR
Audrey Der, Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh
2023 A conf
An Efficient Content-based Time Series Retrieval System.
CIKM
Chin-Chia Michael Yeh, Huiyuan Chen, Xin Dai, Yan Zheng, Junpeng Wang, Vivian Lai, Yujie Fan, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang, Jeff M. Phillips
2023 J jnl
An Efficient Content-based Time Series Retrieval System.
CoRR
Chin-Chia Michael Yeh, Huiyuan Chen, Xin Dai, Yan Zheng, Junpeng Wang, Vivian Lai, Yujie Fan, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang, Jeff M. Phillips
2023 C conf
Multitask Learning for Time Series Data with 2D Convolution.
ICMLA
Chin-Chia Michael Yeh, Xin Dai, Yan Zheng, Junpeng Wang, Huiyuan Chen, Yujie Fan, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang
2023 J jnl
Multitask Learning for Time Series Data with 2D Convolution.
CoRR
Chin-Chia Michael Yeh, Xin Dai, Yan Zheng, Junpeng Wang, Huiyuan Chen, Yujie Fan, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang
2023 B conf
Temporal Treasure Hunt: Content-based Time Series Retrieval System for Discovering Insights.
IEEE Big Data
Chin-Chia Michael Yeh, Huiyuan Chen, Xin Dai, Yan Zheng, Yujie Fan, Vivian Lai, Junpeng Wang, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang
2023 J jnl
Temporal Treasure Hunt: Content-based Time Series Retrieval System for Discovering Insights.
CoRR
Chin-Chia Michael Yeh, Huiyuan Chen, Xin Dai, Yan Zheng, Yujie Fan, Vivian Lai, Junpeng Wang, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang
2023 B conf
Time Series Synthesis Using the Matrix Profile for Anonymization.
IEEE Big Data
Audrey Der, Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Huiyuan Chen, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh
2023 J jnl
Time Series Synthesis Using the Matrix Profile for Anonymization.
CoRR
Audrey Der, Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Huiyuan Chen, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh
2023 A conf
Toward a Foundation Model for Time Series Data.
CIKM
Chin-Chia Michael Yeh, Xin Dai, Huiyuan Chen, Yan Zheng, Yujie Fan, Audrey Der, Vivian Lai, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang
2023 J jnl
Toward a Foundation Model for Time Series Data.
CoRR
Chin-Chia Michael Yeh, Xin Dai, Huiyuan Chen, Yan Zheng, Yujie Fan, Audrey Der, Vivian Lai, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang
2023 J jnl
When is Early Classification of Time Series Meaningful?
IEEE Trans. Knowl. Data Eng.
Renjie Wu, Audrey Der, Eamonn J. Keogh
2022 A* conf
Matrix Profile XXVI: Mplots: Scaling Time Series Similarity Matrices to Massive Data.
ICDM
Maryam Shahcheraghi, Ryan Mercer, João Manuel De Almeida Rodrigues, Audrey Der, Hugo Filipe Silveira Gamboa, Zachary Zimmerman, Eamonn J. Keogh
2022 — conf
Matrix Profile XXVII: A Novel Distance Measure for Comparing Long Time Series.
ICKG
Audrey Der, Chin-Chia Michael Yeh, Renjie Wu, Junpeng Wang, Yan Zheng, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh
2022 J jnl
Matrix Profile XXVII: A Novel Distance Measure for Comparing Long Time Series.
CoRR
Audrey Der, Chin-Chia Michael Yeh, Renjie Wu, Junpeng Wang, Yan Zheng, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh
2022 A* conf
When is Early Classification of Time Series Meaningful? (Extended Abstract).
ICDE
Renjie Wu, Audrey Der, Eamonn J. Keogh
2021 J jnl
When is Early Classification of Time Series Meaningful?
CoRR
Renjie Wu, Audrey Der, Eamonn J. Keogh