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:
On the Mining of Time Series Data Counterfactual Explanations using Barycenters
Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi
Proceedings of the 31st ACM International Conference on Information & Knowledge Management (2022)
Open Access | Times Cited: 13
Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi
Proceedings of the 31st ACM International Conference on Information & Knowledge Management (2022)
Open Access | Times Cited: 13
Showing 13 citing articles:
Info-CELS: Informative Saliency Map-Guided Counterfactual Explanation for Time Series Classification
Peiyu Li, Omar Bahri, Pouya Hosseinzadeh, et al.
Electronics (2025) Vol. 14, Iss. 7, pp. 1311-1311
Open Access
Peiyu Li, Omar Bahri, Pouya Hosseinzadeh, et al.
Electronics (2025) Vol. 14, Iss. 7, pp. 1311-1311
Open Access
SG-CF: Shapelet-Guided Counterfactual Explanation for Time Series Classification
Peiyu Li, Omar Bahri, Soukaïna Filali Boubrahimi, et al.
2021 IEEE International Conference on Big Data (Big Data) (2022), pp. 1564-1569
Closed Access | Times Cited: 9
Peiyu Li, Omar Bahri, Soukaïna Filali Boubrahimi, et al.
2021 IEEE International Conference on Big Data (Big Data) (2022), pp. 1564-1569
Closed Access | Times Cited: 9
CELS: Counterfactual Explanations for Time Series Data via Learned Saliency Maps
Peiyu Li, Omar Bahri, Soukaïna Filali Boubrahimi, et al.
2021 IEEE International Conference on Big Data (Big Data) (2023), pp. 718-727
Closed Access | Times Cited: 4
Peiyu Li, Omar Bahri, Soukaïna Filali Boubrahimi, et al.
2021 IEEE International Conference on Big Data (Big Data) (2023), pp. 718-727
Closed Access | Times Cited: 4
Discord-based counterfactual explanations for time series classification
Omar Bahri, Peiyu Li, Soukaïna Filali Boubrahimi, et al.
Data Mining and Knowledge Discovery (2024) Vol. 38, Iss. 6, pp. 3347-3371
Open Access | Times Cited: 1
Omar Bahri, Peiyu Li, Soukaïna Filali Boubrahimi, et al.
Data Mining and Knowledge Discovery (2024) Vol. 38, Iss. 6, pp. 3347-3371
Open Access | Times Cited: 1
Learning Counterfactual Explanations with Intervals for Time-series Classification
Akihiro Yamaguchi, Ken Ueno, Ryusei Shingaki, et al.
(2024) Vol. 27, pp. 4158-4162
Closed Access | Times Cited: 1
Akihiro Yamaguchi, Ken Ueno, Ryusei Shingaki, et al.
(2024) Vol. 27, pp. 4158-4162
Closed Access | Times Cited: 1
ACTS: Adaptive Counterfactual Explanations for Time Series Data Using Barycenters
Pouya Hosseinzadeh, Peiyu Li, Omar Bahri, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 1327-1332
Closed Access | Times Cited: 1
Pouya Hosseinzadeh, Peiyu Li, Omar Bahri, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 1327-1332
Closed Access | Times Cited: 1
Attention-Based Counterfactual Explanation for Multivariate Time Series
Peiyu Li, Omar Bahri, Soukaïna Filali Boubrahimi, et al.
Lecture notes in computer science (2023), pp. 287-293
Closed Access | Times Cited: 3
Peiyu Li, Omar Bahri, Soukaïna Filali Boubrahimi, et al.
Lecture notes in computer science (2023), pp. 287-293
Closed Access | Times Cited: 3
Reliable Time Series Counterfactual Explanations Guided by ShapeDBA
Peiyu Li, Pouya Hosseinzadeh, Omar Bahri, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 1574-1579
Closed Access
Peiyu Li, Pouya Hosseinzadeh, Omar Bahri, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 1574-1579
Closed Access
M-CELS: Counterfactual Explanation for Multivariate Time Series Data Guided by Learned Saliency Maps
Peiyu Li, Omar Bahri, Soukaïna Filali Boubrahimi, et al.
(2024), pp. 713-718
Closed Access
Peiyu Li, Omar Bahri, Soukaïna Filali Boubrahimi, et al.
(2024), pp. 713-718
Closed Access
Sub-SpaCE: Subsequence-Based Sparse Counterfactual Explanations for Time Series Classification Problems
Mario Refoyo, David Luengo
Communications in computer and information science (2024), pp. 3-17
Closed Access
Mario Refoyo, David Luengo
Communications in computer and information science (2024), pp. 3-17
Closed Access
Denoising Optimization-Based Counterfactual Explanations for Time Series Classification
Omar Bahri, Peiyu Li, Pouya Hosseinzadeh, et al.
Lecture notes in computer science (2024), pp. 162-179
Closed Access
Omar Bahri, Peiyu Li, Pouya Hosseinzadeh, et al.
Lecture notes in computer science (2024), pp. 162-179
Closed Access
Counterfactual Explanations for Remote Sensing Time Series Data: An Application to Land Cover Classification
Cássio F. Dantas, Thalita Firmo Drumond, Diego Marcos, et al.
Lecture notes in computer science (2023), pp. 20-36
Closed Access | Times Cited: 1
Cássio F. Dantas, Thalita Firmo Drumond, Diego Marcos, et al.
Lecture notes in computer science (2023), pp. 20-36
Closed Access | Times Cited: 1
Sub-SpaCE: Subsequence-based Sparse Counterfactual Explanations for Time Series Classification Problems
Mario Refoyo, David Luengo
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
Mario Refoyo, David Luengo
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
