Audrey Der

According to our database, Audrey Der authored at least 10 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

PUPAE: Intuitive and Actionable Explanations for Time Series Anomalies.

Audrey Der, Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

2023

When is Early Classification of Time Series Meaningful?

Renjie Wu, Audrey Der, Eamonn J. Keogh

IEEE Trans. Knowl. Data Eng., March, 2023

Multitask Learning for Time Series Data with 2D Convolution.

Chin-Chia Michael Yeh, Xin Dai, Yan Zheng, Junpeng Wang, Huiyuan Chen, Yujie Fan, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang

Proceedings of the International Conference on Machine Learning and Applications, 2023

Toward a Foundation Model for Time Series Data.

Chin-Chia Michael Yeh, Xin Dai, Huiyuan Chen, Yan Zheng, Yujie Fan, Audrey Der, Vivian Lai, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

An Efficient Content-based Time Series Retrieval System.

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

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Temporal Treasure Hunt: Content-based Time Series Retrieval System for Discovering Insights.

Chin-Chia Michael Yeh, Huiyuan Chen, Xin Dai, Yan Zheng, Yujie Fan, Vivian Lai, Junpeng Wang, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang

Proceedings of the IEEE International Conference on Big Data, 2023

Time Series Synthesis Using the Matrix Profile for Anonymization.

Audrey Der, Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Huiyuan Chen, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Matrix Profile XXVI: Mplots: Scaling Time Series Similarity Matrices to Massive Data.

Maryam Shahcheraghi, Ryan Mercer, João Manuel De Almeida Rodrigues, Audrey Der, Hugo Filipe Silveira Gamboa, Zachary Zimmerman, Eamonn J. Keogh

Proceedings of the IEEE International Conference on Data Mining, 2022

When is Early Classification of Time Series Meaningful? (Extended Abstract).

Renjie Wu, Audrey Der, Eamonn J. Keogh

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Matrix Profile XXVII: A Novel Distance Measure for Comparing Long Time Series.

Audrey Der, Chin-Chia Michael Yeh, Renjie Wu, Junpeng Wang, Yan Zheng, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh

Proceedings of the IEEE International Conference on Knowledge Graph, 2022