Chang Wei Tan

Orcid: 0000-0001-8377-3241

According to our database1, Chang Wei Tan authored at least 26 papers between 2017 and 2024.

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Bibliography

2024
Improving position encoding of transformers for multivariate time series classification.
Data Min. Knowl. Discov., January, 2024

2023
Parameterizing the cost function of dynamic time warping with application to time series classification.
Data Min. Knowl. Discov., September, 2023

Ultra-fast meta-parameter optimization for time series similarity measures with application to nearest neighbour classification.
Knowl. Inf. Syst., May, 2023

Automated Interictal Epileptiform Discharge Detection from Scalp EEG Using Scalable Time-series Classification Approaches.
Int. J. Neural Syst., January, 2023

Series2Vec: Similarity-based Self-supervised Representation Learning for Time Series Classification.
CoRR, 2023

An Approach to Multiple Comparison Benchmark Evaluations that is Stable Under Manipulation of the Comparate Set.
CoRR, 2023

Proximity Forest 2.0: A new effective and scalable similarity-based classifier for time series.
CoRR, 2023

Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey.
CoRR, 2023

2022
MultiRocket: multiple pooling operators and transformations for fast and effective time series classification.
Data Min. Knowl. Discov., 2022

FRANS: Automatic Feature Extraction for Time Series Forecasting.
CoRR, 2022

2021
Time series extrinsic regression.
Data Min. Knowl. Discov., 2021

Classification of multivariate weakly-labelled time-series with attention.
CoRR, 2021

MultiRocket: Effective summary statistics for convolutional outputs in time series classification.
CoRR, 2021

Disjoint-CNN for Multivariate Time Series Classification.
Proceedings of the 2021 International Conference on Data Mining, 2021

Ultra fast warping window optimization for Dynamic Time Warping.
Proceedings of the IEEE International Conference on Data Mining, 2021

2020
FastEE: Fast Ensembles of Elastic Distances for time series classification.
Data Min. Knowl. Discov., 2020

Time Series Regression.
CoRR, 2020

Monash University, UEA, UCR Time Series Regression Archive.
CoRR, 2020

Detecting Driver's Distraction using Long-term Recurrent Convolutional Network.
CoRR, 2020

2019
Time Series Classification at Scale.
PhD thesis, 2019

Time series classification for varying length series.
CoRR, 2019

Elastic bands across the path: A new framework and method to lower bound DTW.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

2018
Elastic bands across the path: A new framework and methods to lower bound DTW.
CoRR, 2018

Efficient search of the best warping window for Dynamic Time Warping.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

2017
Design and Implementation of a Low-Power Wireless Sensor Network Platform Based on XBee.
Proceedings of the 85th IEEE Vehicular Technology Conference, 2017

Indexing and classifying gigabytes of time series under time warping.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017


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