
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:
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
Showing 4 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
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
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
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