Chang Wei Tan

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 29

Top Topics

Parameter Optimization

Summary Statistics

Subsequence Matching

Dynamic Time Warping

Top Venues

Data Min. Knowl. Discov.

Publications

Navid Mohammadi Foumani, Lynn Miller, Chang Wei Tan, Geoffrey I. Webb, Germain Forestier, Mahsa Salehi
Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey. ACM Comput. Surv. 56 (9) (2024)
Anthony J. Bagnall, Matthew Middlehurst, Germain Forestier, Ali Ismail-Fawaz, Antoine Guillaume, David Guijo-Rubio, Chang Wei Tan, Angus Dempster, Geoffrey I. Webb
A Hands-on Introduction to Time Series Classification and Regression. KDD (2024)
Navid Mohammadi Foumani, Chang Wei Tan, Geoffrey I. Webb, Mahsa Salehi
Improving position encoding of transformers for multivariate time series classification. Data Min. Knowl. Discov. 38 (1) (2024)
Navid Mohammadi Foumani, Chang Wei Tan, Geoffrey I. Webb, Hamid Rezatofighi, Mahsa Salehi
Series2vec: similarity-based self-supervised representation learning for time series classification. Data Min. Knowl. Discov. 38 (4) (2024)
Matthieu Herrmann, Chang Wei Tan, Geoffrey I. Webb
Parameterizing the cost function of dynamic time warping with application to time series classification. Data Min. Knowl. Discov. 37 (5) (2023)
Seyed Navid Mohammadi Foumani, Chang Wei Tan, Geoffrey I. Webb, Mahsa Salehi
Improving Position Encoding of Transformers for Multivariate Time Series Classification. CoRR (2023)
Matthieu Herrmann, Chang Wei Tan, Geoffrey I. Webb
Parameterizing the cost function of Dynamic Time Warping with application to time series classification. CoRR (2023)
Chang Wei Tan, Matthieu Herrmann, Geoffrey I. Webb
Ultra-fast meta-parameter optimization for time series similarity measures with application to nearest neighbour classification. Knowl. Inf. Syst. 65 (5) (2023)
Ali Ismail-Fawaz, Angus Dempster, Chang Wei Tan, Matthieu Herrmann, Lynn Miller, Daniel F. Schmidt, Stefano Berretti, Jonathan Weber, Maxime Devanne, Germain Forestier, Geoffrey I. Webb
An Approach to Multiple Comparison Benchmark Evaluations that is Stable Under Manipulation of the Comparate Set. CoRR (2023)
Navid Mohammadi Foumani, Chang Wei Tan, Geoffrey I. Webb, Mahsa Salehi
Series2Vec: Similarity-based Self-supervised Representation Learning for Time Series Classification. CoRR (2023)
Seyed Navid Mohammadi Foumani, Lynn Miller, Chang Wei Tan, Geoffrey I. Webb, Germain Forestier, Mahsa Salehi
Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey. CoRR (2023)
Matthieu Herrmann, Chang Wei Tan, Mahsa Salehi, Geoffrey I. Webb
Proximity Forest 2.0: A new effective and scalable similarity-based classifier for time series. CoRR (2023)
Alexey Chernikov, Chang Wei Tan, Pablo Montero-Manso, Christoph Bergmeir
FRANS: Automatic Feature Extraction for Time Series Forecasting. CoRR (2022)
Chang Wei Tan, Angus Dempster, Christoph Bergmeir, Geoffrey I. Webb
MultiRocket: multiple pooling operators and transformations for fast and effective time series classification. Data Min. Knowl. Discov. 36 (5) (2022)
Chang Wei Tan, Angus Dempster, Christoph Bergmeir, Geoffrey I. Webb
MultiRocket: Effective summary statistics for convolutional outputs in time series classification. CoRR (2021)
Seyed Navid Mohammadi Foumani, Chang Wei Tan, Mahsa Salehi
Disjoint-CNN for Multivariate Time Series Classification. ICDM (Workshops) (2021)
Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb
Time series extrinsic regression. Data Min. Knowl. Discov. 35 (3) (2021)
Surayez Rahman, Chang Wei Tan
Classification of multivariate weakly-labelled time-series with attention. CoRR (2021)
Chang Wei Tan, Matthieu Herrmann, Geoffrey I. Webb
Ultra fast warping window optimization for Dynamic Time Warping. ICDM (2021)
Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb
Time Series Regression. CoRR (2020)
Chang Wei Tan, François Petitjean, Geoffrey I. Webb
FastEE: Fast Ensembles of Elastic Distances for time series classification. Data Min. Knowl. Discov. 34 (1) (2020)
Chang Wei Tan, Mahsa Salehi, Geoffrey Mackellar
Detecting Driver's Distraction using Long-term Recurrent Convolutional Network. CoRR (2020)
Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb
Monash University, UEA, UCR Time Series Regression Archive. CoRR (2020)
Chang Wei Tan, François Petitjean, Geoffrey I. Webb
Elastic bands across the path: A new framework and method to lower bound DTW. SDM (2019)
Chang Wei Tan, François Petitjean, Eamonn J. Keogh, Geoffrey I. Webb
Time series classification for varying length series. CoRR (2019)
Chang Wei Tan, François Petitjean, Geoffrey I. Webb
Elastic bands across the path: A new framework and methods to lower bound DTW. CoRR (2018)
Chang Wei Tan, Matthieu Herrmann, Germain Forestier, Geoffrey I. Webb, François Petitjean
Efficient search of the best warping window for Dynamic Time Warping. SDM (2018)
Chang Wei Tan, Geoffrey I. Webb, François Petitjean
Indexing and classifying gigabytes of time series under time warping. SDM (2017)
Fan Wu, Chang Wei Tan, Majid Sarvi, Christoph Rüdiger, Mehmet Rasit Yuce
Design and Implementation of a Low-Power Wireless Sensor Network Platform Based on XBee. VTC Spring (2017)