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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:

Instance-Based Counterfactual Explanations for Time Series Classification
Eoin Delaney, Derek Greene, Mark T. Keane
Lecture notes in computer science (2021), pp. 32-47
Closed Access | Times Cited: 71

Showing 26-50 of 71 citing articles:

“Better” Counterfactuals, Ones People Can Understand: Psychologically-Plausible Case-Based Counterfactuals Using Categorical Features for Explainable AI (XAI)
Greta Warren, Barry Smyth, Mark T. Keane
Lecture notes in computer science (2022), pp. 63-78
Closed Access | Times Cited: 9
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
Uncertainty Estimation and Out-of-Distribution Detection for Counterfactual Explanations: Pitfalls and Solutions
Eoin Delaney, Derek Greene, Mark T. Keane
arXiv (Cornell University) (2021)
Open Access | Times Cited: 11
Understanding Any Time Series Classifier with a Subsequence-based Explainer
Francesco Spinnato, Riccardo Guidotti, Anna Monreale, et al.
ACM Transactions on Knowledge Discovery from Data (2023) Vol. 18, Iss. 2, pp. 1-34
Open Access | Times Cited: 4
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
XAI for Time Series Classification: Evaluating the Benefits of Model Inspection for End-Users
Brigt Håvardstun, Cèsar Ferri, Kristian Flikka, et al.
Communications in computer and information science (2024), pp. 439-453
Closed Access | Times Cited: 1
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
ST-Tree with interpretability for multivariate time series classification
Mingsen Du, Yanxuan Wei, Yingxia Tang, et al.
Neural Networks (2024) Vol. 183, pp. 106951-106951
Open Access | Times Cited: 1
Explainable Anomaly Detection: Counterfactual driven What-If Analysis
Logan Cummins, Alexander Sommers, Sudip Mittal, et al.
(2024), pp. 144-151
Closed Access | Times Cited: 1
TSEvo: Evolutionary Counterfactual Explanations for Time Series Classification
Jacqueline Höllig, Cedric Kulbach, Steffen Thoma
(2022)
Closed Access | Times Cited: 6
What about the Latent Space? The Need for Latent Feature Saliency Detection in Deep Time Series Classification
M. Schröder, Alireza Zamanian, Narges Ahmidi
Machine Learning and Knowledge Extraction (2023) Vol. 5, Iss. 2, pp. 539-559
Open Access | Times Cited: 3
Explaining Model Confidence Using Counterfactuals
Thao N. Le, Tim Miller, Ronal Singh, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 10, pp. 11856-11864
Open Access | Times Cited: 3
Counterfactual Explanations for Time Series Forecasting
Zhendong Wang, Ioanna Miliou, Isak Samsten, et al.
2021 IEEE International Conference on Data Mining (ICDM) (2023), pp. 1391-1396
Open Access | Times Cited: 3
Becalm: Intelligent Monitoring of Respiratory Patients
Juan A. Recio-Garcí­a, Belén Díaz‐Agudo, Arturo Acuaviva
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 8, pp. 3806-3817
Closed Access | Times Cited: 3
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
Forecasting for Sustainable Dairy Produce: Enhanced Long-Term, Milk-Supply Forecasting Using k-NN for Data Augmentation, with Prefactual Explanations for XAI
Eoin Delaney, Derek Greene, L. Shalloo, et al.
Lecture notes in computer science (2022), pp. 365-379
Closed Access | Times Cited: 5
Causal Inference in Non-linear Time-series using Deep Networks and Knockoff Counterfactuals
Wasim Ahmad, Maha Shadaydeh, Joachim Denzler
2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA) (2021), pp. 449-454
Open Access | Times Cited: 6
Post-hoc Saliency Methods Fail to Capture Latent Feature Importance in Time Series Data
M. Schröder, Alireza Zamanian, Narges Ahmidi
Lecture notes in computer science (2023), pp. 106-121
Closed Access | Times Cited: 2
CBR-fox: A Case-Based Explanation Method for Time Series Forecasting Models
Moisés F. Valdez-Ávila, Carlos Bermejo-Sabbagh, Belén Díaz‐Agudo, et al.
Lecture notes in computer science (2023), pp. 200-214
Closed Access | Times Cited: 2
A Case-Based Reasoning Approach to Company Sector Classification Using a Novel Time-Series Case Representation
Rian Dolphin, Barry Smyth, Ruihai Dong
Lecture notes in computer science (2023), pp. 375-390
Closed Access | Times Cited: 2
State Graph Based Explanation Approach for Black-Box Time Series Model
Yiran Huang, Chaofan Li, Hansen Lu, et al.
Communications in computer and information science (2023), pp. 153-164
Closed Access | Times Cited: 2
A new model for counterfactual analysis for functional data
Emilio Carrizosa, Jasone Ramírez-Ayerbe, Dolores Romero Morales
Advances in Data Analysis and Classification (2023) Vol. 18, Iss. 4, pp. 981-1000
Open Access | Times Cited: 2
Fast Counterfactual Explanation for Solar Flare Prediction
Peiyu Li, Omar Bahri, Soukaïna Filali Boubrahimi, et al.
(2022), pp. 1238-1243
Closed Access | Times Cited: 3
Using Case-Based Causal Reasoning to Provide Explainable Counterfactual Diagnosis in Personalized Sprint Training
Dandan Cui, Jianwei Guo, Ping Liu, et al.
Lecture notes in computer science (2024), pp. 418-429
Closed Access
COMET: Constrained Counterfactual Explanations for Patient Glucose Multivariate Forecasting
Zhendong Wang, Isak Samsten, Ioanna Miliou, et al.
(2024), pp. 502-507
Closed Access

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