
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:
FastDTW is Approximate and Generally Slower Than the Algorithm it Approximates
Renjie Wu, Eamonn Keogh
IEEE Transactions on Knowledge and Data Engineering (2020) Vol. 34, Iss. 8, pp. 3779-3785
Open Access | Times Cited: 17
Renjie Wu, Eamonn Keogh
IEEE Transactions on Knowledge and Data Engineering (2020) Vol. 34, Iss. 8, pp. 3779-3785
Open Access | Times Cited: 17
Showing 17 citing articles:
Time series motifs discovery under DTW allows more robust discovery of conserved structure
Sara Alaee, Ryan Mercer, Kaveh Kamgar, et al.
Data Mining and Knowledge Discovery (2021) Vol. 35, Iss. 3, pp. 863-910
Closed Access | Times Cited: 46
Sara Alaee, Ryan Mercer, Kaveh Kamgar, et al.
Data Mining and Knowledge Discovery (2021) Vol. 35, Iss. 3, pp. 863-910
Closed Access | Times Cited: 46
Dynamic Time Warping Based Adversarial Framework for Time-Series Domain
Taha Belkhouja, Yan Yan, Janardhan Rao Doppa
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022) Vol. 45, Iss. 6, pp. 7353-7366
Open Access | Times Cited: 24
Taha Belkhouja, Yan Yan, Janardhan Rao Doppa
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022) Vol. 45, Iss. 6, pp. 7353-7366
Open Access | Times Cited: 24
Early abandoning and pruning for elastic distances including dynamic time warping
Matthieu Herrmann, Geoffrey I. Webb
Data Mining and Knowledge Discovery (2021) Vol. 35, Iss. 6, pp. 2577-2601
Closed Access | Times Cited: 15
Matthieu Herrmann, Geoffrey I. Webb
Data Mining and Knowledge Discovery (2021) Vol. 35, Iss. 6, pp. 2577-2601
Closed Access | Times Cited: 15
Somtimes: self organizing maps for time series clustering and its application to serious illness conversations
Ali Javed, Donna M. Rizzo, Byung Suk Lee, et al.
Data Mining and Knowledge Discovery (2023) Vol. 38, Iss. 3, pp. 813-839
Open Access | Times Cited: 5
Ali Javed, Donna M. Rizzo, Byung Suk Lee, et al.
Data Mining and Knowledge Discovery (2023) Vol. 38, Iss. 3, pp. 813-839
Open Access | Times Cited: 5
Non-intrusive condition monitoring based on event detection and functional data clustering
Miguel Angel Bermeo-Ayerbe, Carlos Ocampo‐Martínez, Javier Díaz-Rozo
Engineering Applications of Artificial Intelligence (2023) Vol. 124, pp. 106625-106625
Closed Access | Times Cited: 5
Miguel Angel Bermeo-Ayerbe, Carlos Ocampo‐Martínez, Javier Díaz-Rozo
Engineering Applications of Artificial Intelligence (2023) Vol. 124, pp. 106625-106625
Closed Access | Times Cited: 5
Soft sensor for non-invasive detection of process events based on Eigenresponse Fuzzy Clustering
Žiga Stržinar, Boštjan Pregelj, Igor Škrjanc
Applied Soft Computing (2022) Vol. 132, pp. 109859-109859
Open Access | Times Cited: 7
Žiga Stržinar, Boštjan Pregelj, Igor Škrjanc
Applied Soft Computing (2022) Vol. 132, pp. 109859-109859
Open Access | Times Cited: 7
Calculating the matrix profile from noisy data
Colin Hehir, Alan F. Smeaton
PLoS ONE (2023) Vol. 18, Iss. 6, pp. e0286763-e0286763
Open Access | Times Cited: 3
Colin Hehir, Alan F. Smeaton
PLoS ONE (2023) Vol. 18, Iss. 6, pp. e0286763-e0286763
Open Access | Times Cited: 3
Accelerating Time Series Analysis via Processing using Non-Volatile Memories
Ivan Fernandez, Christina Giannoula, Aditya Manglik, et al.
arXiv (Cornell University) (2022)
Open Access | Times Cited: 3
Ivan Fernandez, Christina Giannoula, Aditya Manglik, et al.
arXiv (Cornell University) (2022)
Open Access | Times Cited: 3
Quantitative Financial Models with Scenarios from LLM: Temporal Fusion Transformers as Alternative Monte-Carlo
Irene Aldridge, Daham Kim
(2024)
Closed Access
Irene Aldridge, Daham Kim
(2024)
Closed Access
Using Dynamic Time Warping Self-Organizing Maps to Characterize Diurnal Patterns in Environmental Exposures
Kenan Li, Katherine Sward, Huiyu Deng, et al.
Research Square (Research Square) (2020)
Open Access | Times Cited: 3
Kenan Li, Katherine Sward, Huiyu Deng, et al.
Research Square (Research Square) (2020)
Open Access | Times Cited: 3
An Empirical Study of Graph-Based Approaches for Semi-supervised Time Series Classification
Dominik Bünger, Miriam Gondos, Lucile Peroche, et al.
Frontiers in Applied Mathematics and Statistics (2022) Vol. 7
Open Access | Times Cited: 2
Dominik Bünger, Miriam Gondos, Lucile Peroche, et al.
Frontiers in Applied Mathematics and Statistics (2022) Vol. 7
Open Access | Times Cited: 2
OTW: Optimal Transport Warping for Time Series
Fabian Latorre, Chenghao Liu, Doyen Sahoo, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023), pp. 1-5
Open Access
Fabian Latorre, Chenghao Liu, Doyen Sahoo, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023), pp. 1-5
Open Access
On Convolutional Autoencoders to Speed Up Similarity-Based Time Series Mining
Yuri Gabriel Aragao da Silva, Diego Furtado Silva
2021 IEEE International Conference on Big Data (Big Data) (2020), pp. 4769-4778
Closed Access
Yuri Gabriel Aragao da Silva, Diego Furtado Silva
2021 IEEE International Conference on Big Data (Big Data) (2020), pp. 4769-4778
Closed Access
Early Abandoning and Pruning for Elastic Distances.
Matthieu Herrmann, Geoffrey I. Webb
arXiv (Cornell University) (2021)
Closed Access
Matthieu Herrmann, Geoffrey I. Webb
arXiv (Cornell University) (2021)
Closed Access
Early Abandoning and Pruning for Elastic Distances including Dynamic Time Warping.
Matthieu Herrmann, Geoffrey I. Webb
arXiv (Cornell University) (2021)
Closed Access
Matthieu Herrmann, Geoffrey I. Webb
arXiv (Cornell University) (2021)
Closed Access
Cluster Analysis of Time Series Data with Application to Hydrological Events and Serious Illness Conversations
Ali Javed
(2021)
Closed Access
Ali Javed
(2021)
Closed Access
Identifying On-road Scenarios Predictive of ADHD usingDriving Simulator Time Series Data.
David Grethlein, Aleksanteri Sladek, Santiago Ontañón
arXiv (Cornell University) (2021)
Closed Access
David Grethlein, Aleksanteri Sladek, Santiago Ontañón
arXiv (Cornell University) (2021)
Closed Access