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:
Learning Time Series Counterfactuals via Latent Space Representations
Zhendong Wang, Isak Samsten, Rami Mochaourab, et al.
Lecture notes in computer science (2021), pp. 369-384
Closed Access | Times Cited: 12
Zhendong Wang, Isak Samsten, Rami Mochaourab, et al.
Lecture notes in computer science (2021), pp. 369-384
Closed Access | Times Cited: 12
Showing 12 citing articles:
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review
Sahil Verma, Varich Boonsanong, Minh Hoang, et al.
ACM Computing Surveys (2024) Vol. 56, Iss. 12, pp. 1-42
Open Access | Times Cited: 34
Sahil Verma, Varich Boonsanong, Minh Hoang, et al.
ACM Computing Surveys (2024) Vol. 56, Iss. 12, pp. 1-42
Open Access | Times Cited: 34
Glacier: guided locally constrained counterfactual explanations for time series classification
Zhendong Wang, Isak Samsten, Ioanna Miliou, et al.
Machine Learning (2024) Vol. 113, Iss. 7, pp. 4639-4669
Open Access | Times Cited: 5
Zhendong Wang, Isak Samsten, Ioanna Miliou, et al.
Machine Learning (2024) Vol. 113, Iss. 7, pp. 4639-4669
Open Access | Times Cited: 5
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
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
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
M. Schröder, Alireza Zamanian, Narges Ahmidi
Machine Learning and Knowledge Extraction (2023) Vol. 5, Iss. 2, pp. 539-559
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
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
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
M. Schröder, Alireza Zamanian, Narges Ahmidi
Lecture notes in computer science (2023), pp. 106-121
Closed Access | Times Cited: 2
Conditioned fully convolutional denoising autoencoder for multi-target NILM
Diego García-Pérez, Daniel Pérez, Panagiotis Papapetrou, et al.
Neural Computing and Applications (2024)
Open Access
Diego García-Pérez, Daniel Pérez, Panagiotis Papapetrou, et al.
Neural Computing and Applications (2024)
Open Access
TS-NUC : Nearest Unlike Cluster Guided Generative Counterfactual Estimation for Time Series Classification
Ayanabha Ghosh, Rishi Jain, Shantipriya Parida, et al.
Lecture notes in computer science (2024), pp. 392-406
Closed Access
Ayanabha Ghosh, Rishi Jain, Shantipriya Parida, et al.
Lecture notes in computer science (2024), pp. 392-406
Closed Access
Counterfactual Explanation for Multivariate Times Series Using A Contrastive Variational Autoencoder
William Todo, Merwann Selmani, Béatrice Laurent, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023), pp. 1-5
Closed Access | Times Cited: 1
William Todo, Merwann Selmani, Béatrice Laurent, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023), pp. 1-5
Closed Access | Times Cited: 1
Conditioned Fully Convolutional Denoising Autoencoder for Energy Disaggregation
Diego García-Pérez, Daniel Pérez, Panagiotis Papapetrou, et al.
IFIP advances in information and communication technology (2023), pp. 421-433
Closed Access | Times Cited: 1
Diego García-Pérez, Daniel Pérez, Panagiotis Papapetrou, et al.
IFIP advances in information and communication technology (2023), pp. 421-433
Closed Access | Times Cited: 1
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
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
