
OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
WEASEL 2.0: a random dilated dictionary transform for fast, accurate and memory constrained time series classification
Patrick Schäfer, Ulf Leser
Machine Learning (2023) Vol. 112, Iss. 12, pp. 4763-4788
Open Access | Times Cited: 18
Patrick Schäfer, Ulf Leser
Machine Learning (2023) Vol. 112, Iss. 12, pp. 4763-4788
Open Access | Times Cited: 18
Showing 18 citing articles:
Bake off redux: a review and experimental evaluation of recent time series classification algorithms
Matthew Middlehurst, Patrick Schäfer, Anthony Bagnall
Data Mining and Knowledge Discovery (2024) Vol. 38, Iss. 4, pp. 1958-2031
Open Access | Times Cited: 45
Matthew Middlehurst, Patrick Schäfer, Anthony Bagnall
Data Mining and Knowledge Discovery (2024) Vol. 38, Iss. 4, pp. 1958-2031
Open Access | Times Cited: 45
Unsupervised feature based algorithms for time series extrinsic regression
David Guijo-Rubio, Matthew Middlehurst, Guilherme Arcencio, et al.
Data Mining and Knowledge Discovery (2024) Vol. 38, Iss. 4, pp. 2141-2185
Open Access | Times Cited: 7
David Guijo-Rubio, Matthew Middlehurst, Guilherme Arcencio, et al.
Data Mining and Knowledge Discovery (2024) Vol. 38, Iss. 4, pp. 2141-2185
Open Access | Times Cited: 7
quant: a minimalist interval method for time series classification
Angus Dempster, Daniel F. Schmidt, Geoffrey I. Webb
Data Mining and Knowledge Discovery (2024) Vol. 38, Iss. 4, pp. 2377-2402
Open Access | Times Cited: 7
Angus Dempster, Daniel F. Schmidt, Geoffrey I. Webb
Data Mining and Knowledge Discovery (2024) Vol. 38, Iss. 4, pp. 2377-2402
Open Access | Times Cited: 7
Proximity forest 2.0: a new effective and scalable similarity-based classifier for time series
Chang Wei Tan, Matthieu Herrmann, Mahsa Salehi, et al.
Data Mining and Knowledge Discovery (2025) Vol. 39, Iss. 2
Open Access
Chang Wei Tan, Matthieu Herrmann, Mahsa Salehi, et al.
Data Mining and Knowledge Discovery (2025) Vol. 39, Iss. 2
Open Access
Bake off redux: a review and experimental evaluation of recent time series classification algorithms
Matthew Middlehurst, Patrick Schäfer, Anthony Bagnall
arXiv (Cornell University) (2023)
Open Access | Times Cited: 7
Matthew Middlehurst, Patrick Schäfer, Anthony Bagnall
arXiv (Cornell University) (2023)
Open Access | Times Cited: 7
Robust explainer recommendation for time series classification
T T H Nguyen, Thach Le Nguyen, Georgiana Ifrim
Data Mining and Knowledge Discovery (2024) Vol. 38, Iss. 6, pp. 3372-3413
Open Access | Times Cited: 2
T T H Nguyen, Thach Le Nguyen, Georgiana Ifrim
Data Mining and Knowledge Discovery (2024) Vol. 38, Iss. 6, pp. 3372-3413
Open Access | Times Cited: 2
SCALE-BOSS-MR: Scalable Time Series Classification Using Multiple Symbolic Representations
Apostolos Glenis, George A. Vouros
Applied Sciences (2024) Vol. 14, Iss. 2, pp. 689-689
Open Access | Times Cited: 1
Apostolos Glenis, George A. Vouros
Applied Sciences (2024) Vol. 14, Iss. 2, pp. 689-689
Open Access | Times Cited: 1
A Hands-on Introduction to Time Series Classification and Regression
Anthony Bagnall, Matthew Middlehurst, Germain Forestier, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 6410-6411
Closed Access | Times Cited: 1
Anthony Bagnall, Matthew Middlehurst, Germain Forestier, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 6410-6411
Closed Access | Times Cited: 1
Extracting Features from Random Subseries: A Hybrid Pipeline for Time Series Classification and Extrinsic Regression
Matthew Middlehurst, Anthony Bagnall
Lecture notes in computer science (2023), pp. 113-126
Closed Access | Times Cited: 4
Matthew Middlehurst, Anthony Bagnall
Lecture notes in computer science (2023), pp. 113-126
Closed Access | Times Cited: 4
Evaluating Explanation Methods for Multivariate Time Series Classification
Davide Italo Serramazza, Nguyễn Thu Trang, Thach Le Nguyen, et al.
Lecture notes in computer science (2023), pp. 159-175
Closed Access | Times Cited: 3
Davide Italo Serramazza, Nguyễn Thu Trang, Thach Le Nguyen, et al.
Lecture notes in computer science (2023), pp. 159-175
Closed Access | Times Cited: 3
Back to Basics: A Sanity Check on Modern Time Series Classification Algorithms
Bhaskar Dhariyal, Thach Le Nguyen, Georgiana Ifrim
Lecture notes in computer science (2023), pp. 205-229
Open Access | Times Cited: 2
Bhaskar Dhariyal, Thach Le Nguyen, Georgiana Ifrim
Lecture notes in computer science (2023), pp. 205-229
Open Access | Times Cited: 2
A Dictionary-Based with Stacked Ensemble Learning to Time Series Classification
Rauzan Sumara, Władysław Homenda, Witold Pedrycz, et al.
Lecture notes in computer science (2024), pp. 120-128
Closed Access
Rauzan Sumara, Władysław Homenda, Witold Pedrycz, et al.
Lecture notes in computer science (2024), pp. 120-128
Closed Access
Fast, Interpretable and Deterministic Time Series Classification with a Bag-Of-Receptive-Fields
Francesco Spinnato, Riccardo Guidotti, Anna Monreale, et al.
IEEE Access (2024) Vol. 12, pp. 137893-137912
Open Access
Francesco Spinnato, Riccardo Guidotti, Anna Monreale, et al.
IEEE Access (2024) Vol. 12, pp. 137893-137912
Open Access
Variational Information Bottleneck with Gaussian Processes for Time-Series Classification
Itamar Efrati, Shai Fine
(2024), pp. 870-875
Closed Access
Itamar Efrati, Shai Fine
(2024), pp. 870-875
Closed Access
TSec: An Efficient and Effective Framework for Time Series Classification
Yuanyuan Yao, Hailiang Jie, Lu Chen, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2024), pp. 1394-1406
Closed Access
Yuanyuan Yao, Hailiang Jie, Lu Chen, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2024), pp. 1394-1406
Closed Access
Highly Scalable Time Series Classification for Very Large Datasets
Angus Dempster, Chang Wei Tan, Lynn Miller, et al.
Lecture notes in computer science (2024), pp. 80-95
Closed Access
Angus Dempster, Chang Wei Tan, Lynn Miller, et al.
Lecture notes in computer science (2024), pp. 80-95
Closed Access
Robust Framework for Explanation Evaluation in Time Series Classification
Nguyễn Thu Trang, Thach Le Nguyen, Georgiana Ifrim
arXiv (Cornell University) (2023)
Open Access
Nguyễn Thu Trang, Thach Le Nguyen, Georgiana Ifrim
arXiv (Cornell University) (2023)
Open Access
Review of Time Series Classification Techniques and Methods
Wildan Mahmud, Ahmad Zainul Fanani, Heru Agus Santoso, et al.
2020 International Seminar on Application for Technology of Information and Communication (iSemantic) (2023), pp. 452-457
Closed Access
Wildan Mahmud, Ahmad Zainul Fanani, Heru Agus Santoso, et al.
2020 International Seminar on Application for Technology of Information and Communication (iSemantic) (2023), pp. 452-457
Closed Access