Chang Wei Tan - RankMe

40 papers A* 2A 3Journal 28Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	MONSTER: Monash Scalable Time Series Evaluation Repository. CoRR Angus Dempster, Navid Mohammadi Foumani, Chang Wei Tan, Lynn Miller, Amish Mishra, Mahsa Salehi, Charlotte Pelletier, Daniel F. Schmidt, Geoffrey I. Webb
2025	J	`jnl`	MONSTER: Monash Scalable Time Series Evaluation Repository. J. Data-centric Mach. Learn. Res. Angus Dempster, Navid Mohammadi Foumani, Chang Wei Tan, Lynn Miller, Amish Mishra, Mahsa Salehi, Charlotte Pelletier, Daniel F. Schmidt, Geoffrey I. Webb
2025	J	`jnl`	Proximity forest 2.0: a new effective and scalable similarity-based classifier for time series. Data Min. Knowl. Discov. Chang Wei Tan, Matthieu Herrmann, Mahsa Salehi, Geoffrey I. Webb
2025	—	`conf`	Taming the Real-world Complexities in CPT E/M Coding with Large Language Models. EMNLP (Industry Track) Islam Nassar, Yang Lin, Yuan Jin, Rongxin Zhu, Chang Wei Tan, Zenan Zhai, Nitika Mathur, Thanh Tien Vu, Xu Zhong, Long Duong, Yuan-Fang Li
2025	J	`jnl`	Taming the Real-world Complexities in CPT E/M Coding with Large Language Models. CoRR Islam Nassar, Xiang-Yang Li, Yuan Jin, Rongxin Zhu, Chang Wei Tan, Zenan Zhai, Nitika Mathur, Thanh Tien Vu, Xu Zhong, Long Duong, Yuan-Fang Li
2024	A*	`conf`	A Hands-on Introduction to Time Series Classification and Regression. KDD Anthony J. Bagnall, Matthew Middlehurst, Germain Forestier, Ali Ismail-Fawaz, Antoine Guillaume, David Guijo-Rubio, Chang Wei Tan, Angus Dempster, Geoffrey I. Webb
2024	J	`jnl`	Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey. ACM Comput. Surv. Navid Mohammadi Foumani, Lynn Miller, Chang Wei Tan, Geoffrey I. Webb, Germain Forestier, Mahsa Salehi
2024	—	`conf`	Highly Scalable Time Series Classification for Very Large Datasets. AALTD@ECML/PKDD Angus Dempster, Chang Wei Tan, Lynn Miller, Navid Mohammadi Foumani, Daniel F. Schmidt, Geoffrey I. Webb
2024	J	`jnl`	Improving position encoding of transformers for multivariate time series classification. Data Min. Knowl. Discov. Navid Mohammadi Foumani, Chang Wei Tan, Geoffrey I. Webb, Mahsa Salehi
2024	—	`conf`	MTP: A Dataset for Multi-Modal Turning Points in Casual Conversations. ACL (Short Papers) Gia-Bao Dinh Ho, Chang Wei Tan, Zahra Zamanzadeh Darban, Mahsa Salehi, Reza Haffari, Wray L. Buntine
2024	J	`jnl`	MTP: A Dataset for Multi-Modal Turning Points in Casual Conversations. CoRR Gia-Bao Dinh Ho, Chang Wei Tan, Zahra Zamanzadeh Darban, Mahsa Salehi, Gholamreza Haffari, Wray L. Buntine
2024	J	`jnl`	Series2vec: similarity-based self-supervised representation learning for time series classification. Data Min. Knowl. Discov. Navid Mohammadi Foumani, Chang Wei Tan, Geoffrey I. Webb, Hamid Rezatofighi, Mahsa Salehi
2024	—	`ed.`	Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2024 Workshops, RAFDA and IWTA, Taipei, Taiwan, May 7-10, 2024, Proceedings PAKDD (Workshops) Zhaoxia Wang, Chang Wei Tan
2023	J	`jnl`	An Approach to Multiple Comparison Benchmark Evaluations that is Stable Under Manipulation of the Comparate Set. CoRR 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
2023	J	`jnl`	Automated Interictal Epileptiform Discharge Detection from Scalp EEG Using Scalable Time-series Classification Approaches. Int. J. Neural Syst. D. Nhu, M. Janmohamed, L. Shakhatreh, O. Gonen, Piero Perucca, A. Gilligan, Patrick Kwan, Terence J. O'Brien, Chang Wei Tan, Levin Kuhlmann
2023	J	`jnl`	Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey. CoRR Seyed Navid Mohammadi Foumani, Lynn Miller, Chang Wei Tan, Geoffrey I. Webb, Germain Forestier, Mahsa Salehi
2023	J	`jnl`	Improving Position Encoding of Transformers for Multivariate Time Series Classification. CoRR Seyed Navid Mohammadi Foumani, Chang Wei Tan, Geoffrey I. Webb, Mahsa Salehi
2023	J	`jnl`	Parameterizing the cost function of Dynamic Time Warping with application to time series classification. CoRR Matthieu Herrmann, Chang Wei Tan, Geoffrey I. Webb
2023	J	`jnl`	Parameterizing the cost function of dynamic time warping with application to time series classification. Data Min. Knowl. Discov. Matthieu Herrmann, Chang Wei Tan, Geoffrey I. Webb
2023	J	`jnl`	Proximity Forest 2.0: A new effective and scalable similarity-based classifier for time series. CoRR Matthieu Herrmann, Chang Wei Tan, Mahsa Salehi, Geoffrey I. Webb
2023	J	`jnl`	Series2Vec: Similarity-based Self-supervised Representation Learning for Time Series Classification. CoRR Navid Mohammadi Foumani, Chang Wei Tan, Geoffrey I. Webb, Hamid Rezatofighi, Mahsa Salehi
2023	J	`jnl`	Ultra-fast meta-parameter optimization for time series similarity measures with application to nearest neighbour classification. Knowl. Inf. Syst. Chang Wei Tan, Matthieu Herrmann, Geoffrey I. Webb
2022	J	`jnl`	FRANS: Automatic Feature Extraction for Time Series Forecasting. CoRR Alexey Chernikov, Chang Wei Tan, Pablo Montero-Manso, Christoph Bergmeir
2022	J	`jnl`	MultiRocket: multiple pooling operators and transformations for fast and effective time series classification. Data Min. Knowl. Discov. Chang Wei Tan, Angus Dempster, Christoph Bergmeir, Geoffrey I. Webb
2021	J	`jnl`	Classification of multivariate weakly-labelled time-series with attention. CoRR Surayez Rahman, Chang Wei Tan
2021	—	`conf`	Disjoint-CNN for Multivariate Time Series Classification. ICDM (Workshops) Seyed Navid Mohammadi Foumani, Chang Wei Tan, Mahsa Salehi
2021	J	`jnl`	MultiRocket: Effective summary statistics for convolutional outputs in time series classification. CoRR Chang Wei Tan, Angus Dempster, Christoph Bergmeir, Geoffrey I. Webb
2021	J	`jnl`	Time series extrinsic regression. Data Min. Knowl. Discov. Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb
2021	A*	`conf`	Ultra fast warping window optimization for Dynamic Time Warping. ICDM Chang Wei Tan, Matthieu Herrmann, Geoffrey I. Webb
2020	J	`jnl`	Detecting Driver's Distraction using Long-term Recurrent Convolutional Network. CoRR Chang Wei Tan, Mahsa Salehi, Geoffrey Mackellar
2020	J	`jnl`	FastEE: Fast Ensembles of Elastic Distances for time series classification. Data Min. Knowl. Discov. Chang Wei Tan, François Petitjean, Geoffrey I. Webb
2020	J	`jnl`	Monash University, UEA, UCR Time Series Regression Archive. CoRR Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb
2020	J	`jnl`	Time Series Regression. CoRR Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb
2019	A	`conf`	Elastic bands across the path: A new framework and method to lower bound DTW. SDM Chang Wei Tan, François Petitjean, Geoffrey I. Webb
2019	—	`—`	Time Series Classification at Scale. Chang Wei Tan
2019	J	`jnl`	Time series classification for varying length series. CoRR Chang Wei Tan, François Petitjean, Eamonn J. Keogh, Geoffrey I. Webb
2018	A	`conf`	Efficient search of the best warping window for Dynamic Time Warping. SDM Chang Wei Tan, Matthieu Herrmann, Germain Forestier, Geoffrey I. Webb, François Petitjean
2018	J	`jnl`	Elastic bands across the path: A new framework and methods to lower bound DTW. CoRR Chang Wei Tan, François Petitjean, Geoffrey I. Webb
2017	—	`conf`	Design and Implementation of a Low-Power Wireless Sensor Network Platform Based on XBee. VTC Spring Fan Wu, Chang Wei Tan, Majid Sarvi, Christoph Rüdiger, Mehmet Rasit Yuce
2017	A	`conf`	Indexing and classifying gigabytes of time series under time warping. SDM Chang Wei Tan, Geoffrey I. Webb, François Petitjean