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:
Keep Your Friends Close and Your Counterfactuals Closer: Improved Learning From Closest Rather Than Plausible Counterfactual Explanations in an Abstract Setting
Ulrike Kuhl, André Artelt, Barbara Hammer
2022 ACM Conference on Fairness, Accountability, and Transparency (2022), pp. 2125-2137
Open Access | Times Cited: 16
Ulrike Kuhl, André Artelt, Barbara Hammer
2022 ACM Conference on Fairness, Accountability, and Transparency (2022), pp. 2125-2137
Open Access | Times Cited: 16
Showing 16 citing articles:
Towards Human-Centered Explainable AI: A Survey of User Studies for Model Explanations
Yao Rong, Tobias Leemann, Thai-trang Nguyen, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 46, Iss. 4, pp. 2104-2122
Open Access | Times Cited: 62
Yao Rong, Tobias Leemann, Thai-trang Nguyen, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 46, Iss. 4, pp. 2104-2122
Open Access | Times Cited: 62
XAIR: A Systematic Metareview of Explainable AI (XAI) Aligned to the Software Development Process
Tobias Clement, Nils Kemmerzell, Mohamed Abdelaal, et al.
Machine Learning and Knowledge Extraction (2023) Vol. 5, Iss. 1, pp. 78-108
Open Access | Times Cited: 60
Tobias Clement, Nils Kemmerzell, Mohamed Abdelaal, et al.
Machine Learning and Knowledge Extraction (2023) Vol. 5, Iss. 1, pp. 78-108
Open Access | Times Cited: 60
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
Categorical and Continuous Features in Counterfactual Explanations of AI Systems
Greta Warren, Ruth M. J. Byrne, Mark T. Keane
(2023)
Open Access | Times Cited: 19
Greta Warren, Ruth M. J. Byrne, Mark T. Keane
(2023)
Open Access | Times Cited: 19
Let's go to the Alien Zoo: Introducing an experimental framework to study usability of counterfactual explanations for machine learning
Ulrike Kuhl, André Artelt, Barbara Hammer
Frontiers in Computer Science (2023) Vol. 5
Open Access | Times Cited: 12
Ulrike Kuhl, André Artelt, Barbara Hammer
Frontiers in Computer Science (2023) Vol. 5
Open Access | Times Cited: 12
User‐Centered Evaluation of Explainable Artificial Intelligence (XAI): A Systematic Literature Review
Noor Al-Ansari, Dena Al-Thani, Reem S. Al-Mansoori
Human Behavior and Emerging Technologies (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 4
Noor Al-Ansari, Dena Al-Thani, Reem S. Al-Mansoori
Human Behavior and Emerging Technologies (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 4
“Even if …” – Diverse Semifactual Explanations of Reject
André Artelt, Barbara Hammer
2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2022)
Open Access | Times Cited: 7
André Artelt, Barbara Hammer
2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2022)
Open Access | Times Cited: 7
Towards Human-centered Explainable AI: A Survey of User Studies for Model Explanations
Yao Rong, Tobias Leemann, Thai-trang Nguyen, et al.
arXiv (Cornell University) (2022)
Open Access | Times Cited: 3
Yao Rong, Tobias Leemann, Thai-trang Nguyen, et al.
arXiv (Cornell University) (2022)
Open Access | Times Cited: 3
Actionable Recourse for Automated Decisions: Examining the Effects of Counterfactual Explanation Type and Presentation on Lay User Understanding
Peter M. VanNostrand, Dennis M. Hofmann, Lei Ma, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2024) Vol. 5, pp. 1682-1700
Open Access
Peter M. VanNostrand, Dennis M. Hofmann, Lei Ma, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2024) Vol. 5, pp. 1682-1700
Open Access
Explaining Multiple Instances Counterfactually:User Tests of Group-Counterfactuals for XAI
Greta Warren, Eoin Delaney, Christophe Guéret, et al.
Lecture notes in computer science (2024), pp. 206-222
Closed Access
Greta Warren, Eoin Delaney, Christophe Guéret, et al.
Lecture notes in computer science (2024), pp. 206-222
Closed Access
Reassessing Evaluation Functions in Algorithmic Recourse: An Empirical Study from a Human-Centered Perspective
Tomu Tominaga, Naomi Yamashita, Takeshi Kurashima
(2024), pp. 7913-7921
Open Access
Tomu Tominaga, Naomi Yamashita, Takeshi Kurashima
(2024), pp. 7913-7921
Open Access
CL-XAI: Toward Enriched Cognitive Learning with Explainable Artificial Intelligence
Muhammad Suffian, Ulrike Kuhl, José M. Alonso, et al.
Lecture notes in computer science (2024), pp. 5-27
Closed Access
Muhammad Suffian, Ulrike Kuhl, José M. Alonso, et al.
Lecture notes in computer science (2024), pp. 5-27
Closed Access
Nullius in Explanans: an ethical risk assessment for explainable AI
Luca Nannini, Diletta Huyskes, Enrico Panai, et al.
Ethics and Information Technology (2024) Vol. 27, Iss. 1
Closed Access
Luca Nannini, Diletta Huyskes, Enrico Panai, et al.
Ethics and Information Technology (2024) Vol. 27, Iss. 1
Closed Access
For Better or Worse: The Impact of Counterfactual Explanations’ Directionality on User Behavior in xAI
Ulrike Kuhl, André Artelt, Barbara Hammer
Communications in computer and information science (2023), pp. 280-300
Open Access | Times Cited: 1
Ulrike Kuhl, André Artelt, Barbara Hammer
Communications in computer and information science (2023), pp. 280-300
Open Access | Times Cited: 1
ABC-GAN: Spatially Constrained Counterfactual Generation for Image Classification Explanations
Dimitry Mindlin, Malte Schilling, Philipp Cimiano
Communications in computer and information science (2023), pp. 260-282
Closed Access | Times Cited: 1
Dimitry Mindlin, Malte Schilling, Philipp Cimiano
Communications in computer and information science (2023), pp. 260-282
Closed Access | Times Cited: 1
For Better or Worse: The Impact of Counterfactual Explanations' Directionality on User Behavior in xAI
Ulrike Kuhl, André Artelt, Barbara Hammer
arXiv (Cornell University) (2023)
Open Access
Ulrike Kuhl, André Artelt, Barbara Hammer
arXiv (Cornell University) (2023)
Open Access
